Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJoshua D. Knowles
Person information
- affiliation: Schlumberger Cambridge Research Ltd., UK
- affiliation: University of Birmingham, UK
- affiliation (former): University of Manchester, School of Computer Science
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[i16]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
An adaptive approach to Bayesian Optimization with switching costs. CoRR abs/2405.08973 (2024)- 2023
- [c68]Seyed Mahdi Shavarani
, Manuel López-Ibáñez, Richard Allmendinger, Joshua D. Knowles:
An Interactive Decision Tree-Based Evolutionary Multi-objective Algorithm. EMO 2023: 620-634 - [p6]Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. Many-Criteria Optimization and Decision Analysis 2023: 317-335 - 2022
- [j24]Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson:
Deep Optimisation: Transitioning the Scale of Evolutionary Search by Inducing and Searching in Deep Representations. SN Comput. Sci. 3(3): 253 (2022) - [c67]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO 2022: 840-848 - [c66]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-agent Search on Endogenously-Changing Fitness Landscapes. PPSN (1) 2022: 265-278 - [i15]Chin Woei Lim, Richard Allmendinger, Joshua D. Knowles, Ayesha AlHosani, Mercedes Bleda:
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes. CoRR abs/2206.13844 (2022) - 2021
- [c65]Jamie Caldwell, Joshua D. Knowles, Christoph Thies, Filip Kubacki, Richard A. Watson:
Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations. EvoApplications 2021: 506-521 - [c64]Seyed Mahdi Shavarani, Manuel López-Ibáñez, Joshua D. Knowles:
Realistic utility functions prove difficult for state-of-the-art interactive multiobjective optimization algorithms. GECCO 2021: 457-465 - [i14]Richard Allmendinger, Joshua D. Knowles:
Heterogeneous Objectives: State-of-the-Art and Future Research. CoRR abs/2103.15546 (2021)
2010 – 2019
- 2018
- [j23]Mario Garza-Fabre, Julia Handl, Joshua D. Knowles:
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 22(4): 515-535 (2018) - [i13]J. R. Caldwell, Richard A. Watson, Christoph Thies, Joshua D. Knowles:
Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks. CoRR abs/1811.00784 (2018) - [i12]Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph, Margaret M. Wiecek:
Personalized Multiobjective Optimization: An Analytics Perspective (Dagstuhl Seminar 18031). Dagstuhl Reports 8(1): 33-99 (2018) - 2017
- [j22]Dimo Brockhoff, Joshua D. Knowles, Boris Naujoks, Karthik Sindhya:
Editorial. Comput. Oper. Res. 79: 264-265 (2017) - [j21]David L. Buckley, Ke Chen, Joshua D. Knowles:
Rapid Skill Capture in a First-Person Shooter. IEEE Trans. Comput. Intell. AI Games 9(1): 63-75 (2017) - [c63]Mario Garza-Fabre, Julia Handl, Joshua D. Knowles:
A New Reduced-Length Genetic Representation for Evolutionary Multiobjective Clustering. EMO 2017: 236-251 - [c62]Jussi Hakanen, Joshua D. Knowles:
On Using Decision Maker Preferences with ParEGO. EMO 2017: 282-297 - [c61]Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger:
Sequential experimentation by evolutionary algorithms. GECCO (Companion) 2017: 828-851 - [r2]David W. Corne, Julia Handl, Joshua D. Knowles:
Evolutionary Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 423-429 - 2016
- [j20]Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Generating, Maintaining, and Exploiting Diversity in a Memetic Algorithm for Protein Structure Prediction. Evol. Comput. 24(4): 577-607 (2016) - [c60]Krzysztof Michalak, Joshua D. Knowles:
Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting. EvoApplications (2) 2016: 248-265 - [c59]Steve Miller, Joshua D. Knowles:
The Emergence of Cooperation in Public Goods Games on Randomly Growing Dynamic Networks. EvoApplications (1) 2016: 363-378 - [c58]Steve Miller, Joshua D. Knowles:
Global Network Cooperation Catalysed by a Small Prosocial Migrant Clique. UCNC 2016: 62-74 - [i11]Steve Miller, Joshua D. Knowles:
The Emergence of Cooperation in Public Goods Games on Randomly-Growing Dynamic Networks. CoRR abs/1603.05829 (2016) - [i10]Steve Miller, Joshua D. Knowles:
A minimal model for the emergence of cooperation in randomly growing networks. CoRR abs/1605.02651 (2016) - [i9]Steve Miller, Joshua D. Knowles:
Global network cooperation catalysed by a small prosocial migrant clique. CoRR abs/1605.02652 (2016) - 2015
- [j19]James Bradbury, Grégory Genta-Jouve, James William Allwood, Warwick B. Dunn, Royston Goodacre, Joshua D. Knowles, Shan He, Mark R. Viant:
MUSCLE: automated multi-objective evolutionary optimization of targeted LC-MS/MS analysis. Bioinform. 31(6): 975-977 (2015) - [j18]Richard Allmendinger, Julia Handl, Joshua D. Knowles:
Multiobjective optimization: When objectives exhibit non-uniform latencies. Eur. J. Oper. Res. 243(2): 497-513 (2015) - [c57]Steve Miller, Joshua D. Knowles:
A Minimal Model for the Emergence of Cooperation in Randomly Growing Networks. ECAL 2015: 114-121 - [c56]Andrew M. Webb, Julia Handl, Joshua D. Knowles:
How Much Should You Select for Evolvability? ECAL 2015: 487-494 - [c55]Manuel López-Ibáñez, Joshua D. Knowles:
Machine Decision Makers as a Laboratory for Interactive EMO. EMO (2) 2015: 295-309 - [c54]Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. GECCO (Companion) 2015: 935-938 - [i8]Salvatore Greco, Kathrin Klamroth, Joshua D. Knowles, Günter Rudolph:
Understanding Complexity in Multiobjective Optimization (Dagstuhl Seminar 15031). Dagstuhl Reports 5(1): 96-163 (2015) - 2014
- [c53]Andrew M. Webb, Joshua D. Knowles:
Studying the Evolvability of of Self-Encoding Genotype-Phenotype Maps. ALIFE 2014: 79-86 - [c52]Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers:
Hellinger Distance Trees for Imbalanced Streams. ICPR 2014: 1969-1974 - [i7]Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers:
Hellinger Distance Trees for Imbalanced Streams. CoRR abs/1405.2278 (2014) - [i6]Steve Miller, Joshua D. Knowles:
Population Fluctuation Promotes Cooperation in Networks. CoRR abs/1407.8032 (2014) - [i5]David L. Buckley, Ke Chen, Joshua D. Knowles:
Rapid Skill Capture in a First-Person Shooter. CoRR abs/1411.1316 (2014) - 2013
- [j17]Richard Allmendinger, Joshua D. Knowles:
On Handling Ephemeral Resource Constraints in Evolutionary Search. Evol. Comput. 21(3): 497-531 (2013) - [j16]Shaun M. Kandathil, Timothy L. Fletcher, Yongna Yuan, Joshua D. Knowles, Paul L. A. Popelier:
Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine. J. Comput. Chem. 34(21): 1850-1861 (2013) - [c51]Ahmad Almakhlafi, Joshua D. Knowles:
Systematic construction of algorithm portfolios for a Maintenance Scheduling Problem. IEEE Congress on Evolutionary Computation 2013: 245-252 - [c50]David L. Buckley, Ke Chen, Joshua D. Knowles:
Predicting skill from gameplay input to a first-person shooter. CIG 2013: 1-8 - [c49]Richard Allmendinger, Joshua D. Knowles:
'Hang On a Minute': Investigations on the Effects of Delayed Objective Functions in Multiobjective Optimization. EMO 2013: 6-20 - [c48]Julia Handl, Joshua D. Knowles:
Evidence Accumulation in Multiobjective Data Clustering. EMO 2013: 543-557 - [c47]Ricardo Aler, Julia Handl, Joshua D. Knowles:
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO 2013: 1029-1036 - [c46]Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers:
A Study on Classification in Imbalanced and Partially-Labelled Data Streams. SMC 2013: 1506-1511 - [i4]Robert J. Lyon, J. M. Brooke, Joshua D. Knowles, Benjamin W. Stappers:
A Study on Classification in Imbalanced and Partially-Labelled Data Streams. CoRR abs/1307.8012 (2013) - 2012
- [c45]Ahmad Almakhlafi, Joshua D. Knowles:
Benchmarks for maintenance scheduling problems in power generation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c44]Julia Handl, Joshua D. Knowles:
Clustering Criteria in Multiobjective Data Clustering. PPSN (2) 2012: 32-41 - [p5]David W. Corne, Kalyanmoy Deb, Joshua D. Knowles, Xin Yao:
Selected Aspects of Natural Computing. Handbook of Natural Computing 2012: 1737-1801 - [i3]Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, Eckart Zitzler:
Learning in Multiobjective Optimization (Dagstuhl Seminar 12041). Dagstuhl Reports 2(1): 50-99 (2012) - 2011
- [c43]Manuel López-Ibáñez, Joshua D. Knowles, Marco Laumanns:
On Sequential Online Archiving of Objective Vectors. EMO 2011: 46-60 - [c42]Richard Allmendinger, Joshua D. Knowles:
Policy learning in resource-constrained optimization. GECCO 2011: 1971-1978 - [c41]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Search in Lethal Environments. IJCCI (ECTA-FCTA) 2011: 63-72 - 2010
- [j15]William Rowe, David C. Wedge, Mark Platt, Douglas B. Kell, Joshua D. Knowles:
Predictive models for population performance on real biological fitness landscapes. Bioinform. 26(17): 2145-2152 (2010) - [j14]Eric Bonabeau, David W. Corne, Joshua D. Knowles, Riccardo Poli:
Swarm intelligence theory: A snapshot of the state of the art. Theor. Comput. Sci. 411(21): 2081-2083 (2010) - [c40]Thomas Bäck, Joshua D. Knowles, Ofer M. Shir:
Experimental optimization by evolutionary algorithms. GECCO (Companion) 2010: 2897-2916 - [c39]Richard Allmendinger, Joshua D. Knowles:
Evolutionary Optimization on Problems Subject to Changes of Variables. PPSN (2) 2010: 151-160 - [c38]Richard Allmendinger, Joshua D. Knowles:
On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization. PPSN (2) 2010: 161-170 - [r1]David Corne, Julia Handl, Joshua D. Knowles:
Evolutionary Clustering. Encyclopedia of Machine Learning 2010: 332-337
2000 – 2009
- 2009
- [j13]Julia Handl, Joshua D. Knowles, Simon C. Lovell:
Artefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction. Bioinform. 25(10): 1271-1279 (2009) - [j12]Joshua D. Knowles:
Closed-loop evolutionary multiobjective optimization. IEEE Comput. Intell. Mag. 4(3): 77-91 (2009) - [c37]Joshua D. Knowles, David Corne, Alan P. Reynolds:
Noisy Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2009: 36-50 - [i2]Jörg Fliege, Nicola Beume, Jürgen Branke, Heinrich Braun, Nirupam Chakraborti, Kalyanmoy Deb, Sabine Helwig, Joshua D. Knowles, Martin Middendorf, Sanaz Mostaghim, Silvia Poles, Daniel E. Salazar Aponte, Shukla Pradymn, El-Ghazali Talbi:
09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization 2009 - [i1]David W. Corne, Joshua D. Knowles:
Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others. CoRR abs/0908.3025 (2009) - 2008
- [j11]Yisu Jin, Joshua D. Knowles, Hongmei Lu, Yizeng Liang, Douglas B. Kell:
The landscape adaptive particle swarm optimizer. Appl. Soft Comput. 8(1): 295-304 (2008) - [c36]Caroline Farrelly, Douglas B. Kell, Joshua D. Knowles:
Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study. ANTS Conference 2008: 120-131 - [c35]Joshua D. Knowles, Hirotaka Nakayama:
Meta-Modeling in Multiobjective Optimization. Multiobjective Optimization 2008: 245-284 - [c34]Eckart Zitzler, Joshua D. Knowles, Lothar Thiele:
Quality Assessment of Pareto Set Approximations. Multiobjective Optimization 2008: 373-404 - [c33]Ludmil Mikhailov, Joshua D. Knowles:
Priority Elicitation in the AHP by a Pareto Envelope-Based Selection Algorithm. MCDM 2008: 249-257 - [c32]Julia Handl, Simon C. Lovell, Joshua D. Knowles:
Multiobjectivization by Decomposition of Scalar Cost Functions. PPSN 2008: 31-40 - [c31]Julia Handl, Simon C. Lovell, Joshua D. Knowles:
Investigations into the Effect of Multiobjectivization in Protein Structure Prediction. PPSN 2008: 702-711 - [p4]Joshua D. Knowles, David Corne, Kalyanmoy Deb:
Introduction: Problem Solving, EC and EMO. Multiobjective Problem Solving from Nature 2008: 1-28 - [p3]Julia Handl, Joshua D. Knowles:
Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. Multiobjective Problem Solving from Nature 2008: 131-151 - [e1]Joshua D. Knowles, David Corne, Kalyanmoy Deb:
Multiobjective Problem Solving from Nature. Natural Computing Series, Springer 2008, ISBN 978-3-540-72963-1 [contents] - 2007
- [j10]Julia Handl, Douglas B. Kell, Joshua D. Knowles:
Multiobjective Optimization in Bioinformatics and Computational Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 279-292 (2007) - [j9]Julia Handl, Joshua D. Knowles:
An Evolutionary Approach to Multiobjective Clustering. IEEE Trans. Evol. Comput. 11(1): 56-76 (2007) - [c30]Joshua D. Knowles, David Corne:
Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. EMO 2007: 757-771 - [c29]David W. Corne, Joshua D. Knowles:
Techniques for highly multiobjective optimisation: some nondominated points are better than others. GECCO 2007: 773-780 - 2006
- [j8]Julia Handl, Joshua D. Knowles, Marco Dorigo:
Ant-Based Clustering and Topographic Mapping. Artif. Life 12(1): 35-62 (2006) - [j7]Joshua D. Knowles:
ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems. IEEE Trans. Evol. Comput. 10(1): 50-66 (2006) - [c28]William Rowe, David Corne, Joshua D. Knowles:
Predicting Stochastic Search Algorithm Performance using Landscape State Machines. IEEE Congress on Evolutionary Computation 2006: 2944-2951 - [c27]Julia Handl, Joshua D. Knowles:
On semi-supervised clustering via multiobjective optimization. GECCO 2006: 1465-1472 - [c26]Julia Handl, Joshua D. Knowles:
Semi-supervised feature selection via multiobjective optimization. IJCNN 2006: 3319-3326 - [c25]Julia Handl, Joshua D. Knowles:
An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. PPSN 2006: 839-849 - [p2]Julia Handl, Joshua D. Knowles:
Multi-Objective Clustering and Cluster Validation. Multi-Objective Machine Learning 2006: 21-47 - 2005
- [j6]Julia Handl, Joshua D. Knowles, Douglas B. Kell:
Computational cluster validation in post-genomic data analysis. Bioinform. 21(15): 3201-3212 (2005) - [j5]Leonora Bianchi, Joshua D. Knowles, Neill Bowler:
Local search for the probabilistic traveling salesman problem: Correction to the 2-p-opt and 1-shift algorithms. Eur. J. Oper. Res. 162(1): 206-219 (2005) - [c24]Julia Handl, Joshua D. Knowles:
Multiobjective clustering around medoids. Congress on Evolutionary Computation 2005: 632-639 - [c23]Julia Handl, Joshua D. Knowles:
Improvements to the scalability of multiobjective clustering. Congress on Evolutionary Computation 2005: 2372-2379 - [c22]Joshua D. Knowles, Evan J. Hughes:
Multiobjective Optimization on a Budget of 250 Evaluations. EMO 2005: 176-190 - [c21]Julia Handl, Joshua D. Knowles:
Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering. EMO 2005: 547-560 - [c20]Joshua D. Knowles:
A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. ISDA 2005: 552-557 - 2004
- [c19]Julia Handl, Joshua D. Knowles:
Evolutionary Multiobjective Clustering. PPSN 2004: 1081-1091 - [p1]Joshua D. Knowles, David Corne:
Bounded Pareto Archiving: Theory and Practice. Metaheuristics for Multiobjective Optimisation 2004: 39-64 - 2003
- [j4]Joshua D. Knowles, David Corne:
Properties of an adaptive archiving algorithm for storing nondominated vectors. IEEE Trans. Evol. Comput. 7(2): 100-116 (2003) - [c18]Julia Handl, Joshua D. Knowles, Marco Dorigo:
Strategies for the Increased Robustness of Ant-Based Clustering. Engineering Self-Organising Systems 2003: 90-104 - [c17]Joshua D. Knowles, David W. Corne, M. Fleischer:
Bounded archiving using the lebesgue measure. IEEE Congress on Evolutionary Computation 2003: 2490-2497 - [c16]David Corne, Joshua D. Knowles:
Some multiobjective optimizers are better than others. IEEE Congress on Evolutionary Computation 2003: 2506-2512 - [c15]Joshua D. Knowles, David Corne:
Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. EMO 2003: 295-310 - [c14]David Corne, Joshua D. Knowles:
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. EMO 2003: 327-341 - [c13]Julia Handl, Joshua D. Knowles, Marco Dorigo:
On the Performance of Ant-based Clustering. HIS 2003: 204-213 - 2002
- [b1]Joshua D. Knowles:
Local-search and hybrid evolutionary algorithms for Pareto optimization. University of Reading, UK, 2002 - [j3]Joshua D. Knowles, David W. Corne:
Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm. Eur. J. Oper. Res. 143(3): 543-547 (2002) - [c12]Krzysztof Socha, Joshua D. Knowles, Michael Sampels:
A MAX-MIN Ant System for the University Course Timetabling Problem. Ant Algorithms 2002: 1-13 - [c11]Joshua D. Knowles, David Corne:
On metrics for comparing nondominated sets. IEEE Congress on Evolutionary Computation 2002: 711-716 - [c10]Joshua D. Knowles, David Corne:
Towards Landscape Analyses to Inform the Design of Hybrid Local Search for the Multiobjective Quadratic Assignment Problem. HIS 2002: 271-279 - [c9]Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luís Paquete, Thomas Stützle:
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 2002: 329-354 - [c8]Joshua D. Knowles, Richard A. Watson:
On the Utility of Redundant Encodings in Mutation-Based Evolutionary Search. PPSN 2002: 88-98 - 2001
- [c7]Joshua D. Knowles, David W. Corne:
A comparison of encodings and algorithms for multiobjective minimum spanning tree problems. CEC 2001: 544-551 - [c6]Joshua D. Knowles, Richard A. Watson, David Corne:
Reducing Local Optima in Single-Objective Problems by Multi-objectivization. EMO 2001: 269-283 - 2000
- [j2]Joshua D. Knowles, David Corne:
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evol. Comput. 8(2): 149-172 (2000) - [j1]Joshua D. Knowles, David Corne:
A new evolutionary approach to the degree-constrained minimum spanning tree problem. IEEE Trans. Evol. Comput. 4(2): 125-134 (2000) - [c5]Joshua D. Knowles, David W. Corne:
M-PAES: a memetic algorithm for multiobjective optimization. CEC 2000: 325-332 - [c4]Joshua D. Knowles, David Corne:
Heuristics for Evolutionary Off-line Routing in Telecommunication Networks. GECCO 2000: 574-581 - [c3]David Corne, Joshua D. Knowles, Martin J. Oates:
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation. PPSN 2000: 839-848 - [c2]Joshua D. Knowles, David Corne, Martin J. Oates:
On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem. PPSN 2000: 869-878
1990 – 1999
- 1999
- [c1]Joshua D. Knowles, David Corne:
The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation. CEC 1999: 98-105
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-19 23:47 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
