Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDAnup Das 0001
Anup K. Das 0001
Person information
- affiliation: Drexel University, Philadelphia, PA, USA
- affiliation (former): IMEC Netherlands
- affiliation (former): University of Southampton, UK
- affiliation (former): National University of Singapore
Other persons with the same name
- Anup Das 0002 — University of Exeter, UK
- Anup Das 0003
![[0000-0002-5024-5159]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5024-5159")
— Indian Space Research Organization, Ahmedabad, India - Anup Das 0004 — Salk Institute for Biological Studies, Computational Neurobiology Laboratory, La Jolla, CA, USA (and 1 more)
- Anup Das 0005 (aka: Anup Kumar Das 0001) — Jawaharlal Nehru University, Centre for Studies in Science Policy, India (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j19]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13(3): 142-145 (2021)- [c46]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. ASAP 2021: 17-24 - [c45]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. ASP-DAC 2021: 657-664 - [c44]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the role of system software in energy management of neuromorphic computing. CF 2021: 124-132 - [c43]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for AI/ML Hardware. VTS 2021: 1-10 - [i30]Ethan Jacob Moyer, Anup Das:
Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction. CoRR abs/2101.08385 (2021) - [i29]Twisha Titirsha, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2103.05707 (2021) - [i28]Shamik Kundu, Kanad Basu, Mehdi Sadi, Twisha Titirsha, Shihao Song, Anup Das, Ujjwal Guin:
Special Session: Reliability Analysis for ML/AI Hardware. CoRR abs/2103.12166 (2021) - [i27]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR abs/2103.12231 (2021) - [i26]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR abs/2105.01795 (2021) - [i25]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor:
Dynamic Reliability Management in Neuromorphic Computing. CoRR abs/2105.02038 (2021) - [i24]Shihao Song, Twisha Titirsha, Anup Das:
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping. CoRR abs/2106.09104 (2021) - [i23]Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2108.02023 (2021) - [i22]Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy:
A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. CoRR abs/2108.12444 (2021) - 2020
- [j18]Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma:
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 76-86 (2020) - [j17]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92(11): 1293-1302 (2020) - [c42]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. EDCC 2020: 17-24 - [c41]Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. IGSC (Workshops) 2020: 1-3 - [c40]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. IGSC (Workshops) 2020: 1-3 - [c39]Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. IGSC (Workshops) 2020: 1-5 - [c38]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN 2020: 1-10 - [c37]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving phase change memory performance with data content aware access. ISMM 2020: 30-47 - [c36]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting inter- and intra-memory asymmetries for data mapping in hybrid tiered-memories. ISMM 2020: 100-114 - [c35]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES 2020: 38-50 - [c34]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. MWSCAS 2020: 596-598 - [i21]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor:
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. CoRR abs/2003.09696 (2020) - [i20]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2004.03717 (2020) - [i19]Shihao Song, Anup Das, Nagarajan Kandasamy:
Exploiting Inter- and Intra-Memory Asymmetries for Data Mapping in Hybrid Tiered-Memories. CoRR abs/2005.04750 (2020) - [i18]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Improving Phase Change Memory Performance with Data Content Aware Access. CoRR abs/2005.04753 (2020) - [i17]Shihao Song, Anup Das, Nagarajan Kandasamy:
Improving Dependability of Neuromorphic Computing With Non-Volatile Memory. CoRR abs/2006.05868 (2020) - [i16]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2006.06777 (2020) - [i15]Shihao Song, Anup Das:
A Case for Lifetime Reliability-Aware Neuromorphic Computing. CoRR abs/2007.02210 (2020) - [i14]Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor:
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR abs/2009.09298 (2020) - [i13]Twisha Titirsha, Anup Das:
Reliability-Performance Trade-offs in Neuromorphic Computing. CoRR abs/2009.12672 (2020) - [i12]Twisha Titirsha, Anup Das:
Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2010.04773 (2020) - [i11]Ethan Jacob Moyer, Anup Das:
Machine learning applications to DNA subsequence and restriction site analysis. CoRR abs/2011.03544 (2020) - [i10]Shihao Song, Anup Das:
Design Methodologies for Reliable and Energy-efficient PCM Systems. CoRR abs/2011.13959 (2020) - [i9]Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. CoRR abs/2011.13965 (2020) - [i8]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Aging-Aware Request Scheduling for Non-Volatile Main Memory. CoRR abs/2012.00050 (2020)
2010 – 2019
- 2019
- [j16]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18(2): 149-152 (2019) - [j15]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. ACM Trans. Embed. Comput. Syst. 18(5s): 53:1-53:25 (2019) - [c33]Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar:
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 489-494 - [c32]Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma:
Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2019: 495-499 - [c31]Adarsha Balaji, Anup Das:
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. ISVLSI 2019: 193-196 - [i7]Anup Das, Francky Catthoor, Siebren Schaafsma:
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. CoRR abs/1908.06865 (2019) - [i6]Shihao Song, Anup Das, Onur Mutlu, Nagarajan Kandasamy:
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories. CoRR abs/1908.07966 (2019) - [i5]Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma:
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware. CoRR abs/1908.08024 (2019) - [i4]Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor:
Mapping Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/1909.01843 (2019) - [i3]Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor:
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR abs/1911.00548 (2019) - 2018
- [j14]Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor:
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14(4): 508-519 (2018) - [j13]Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof:
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks 99: 134-147 (2018) - [j12]Anup Das, Francky Catthoor, André Bourdoux, Bert Gyselinckx:
Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers. IEEE Trans. Green Commun. Netw. 2(2): 397-407 (2018) - [c30]Anup K. Das, Francky Catthoor, Siebren Schaafsma:
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG. CHASE 2018: 69-74 - [c29]Anup Das, Hasan Hassan, Onur Mutlu:
VRL-DRAM: improving DRAM performance via variable refresh latency. DAC 2018: 171:1-171:6 - [c28]Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Francky Catthoor, Siebren Schaafsma:
Mapping of local and global synapses on spiking neuromorphic hardware. DATE 2018: 1217-1222 - [c27]Anup Das, Akash Kumar:
Dataflow-Based Mapping of Spiking Neural Networks on Neuromorphic Hardware. ACM Great Lakes Symposium on VLSI 2018: 419-422 - [c26]Anup Das, Domenico Balsamo, Geoff V. Merrett, Bashir M. Al-Hashimi, Francky Catthoor:
Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones. IGSC 2018: 1-6 - [i2]Raj Thilak Rajan, Rob van Schaijk, Anup Das, Jac Romme, Frank J. Pasveer:
Reference-free Calibration in Sensor Networks. CoRR abs/1805.11999 (2018) - 2017
- [j11]Matthew J. Walker, Stephan Diestelhorst, Andreas Hansson, Anup Das, Sheng Yang, Bashir M. Al-Hashimi, Geoff V. Merrett:
Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(1): 106-119 (2017) - [i1]Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof:
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout. CoRR abs/1708.05356 (2017) - 2016
- [j10]Domenico Balsamo, Anup Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini:
Graceful Performance Modulation for Power-Neutral Transient Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(5): 738-749 (2016) - [j9]Rishad A. Shafik, Sheng Yang, Anup Das, Luis Alfonso Maeda-Nunez, Geoff V. Merrett, Bashir M. Al-Hashimi:
Learning Transfer-Based Adaptive Energy Minimization in Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(6): 877-890 (2016) - [j8]Anup Das, Geoff V. Merrett, Mirco Tribastone, Bashir M. Al-Hashimi:
Workload Change Point Detection for Runtime Thermal Management of Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1358-1371 (2016) - [j7]Domenico Balsamo, Alex S. Weddell, Anup Das, Alberto Rodriguez Arreola, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett, Luca Benini:
Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(12): 1968-1980 (2016) - [j6]Anup Das, Bashir M. Al-Hashimi, Geoff V. Merrett:
Adaptive and Hierarchical Runtime Manager for Energy-Aware Thermal Management of Embedded Systems. ACM Trans. Embed. Comput. Syst. 15(2): 24:1-24:25 (2016) - [j5]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Reliability and Energy-Aware Mapping and Scheduling of Multimedia Applications on Multiprocessor Systems. IEEE Trans. Parallel Distributed Syst. 27(3): 869-884 (2016) - [c25]Anup Das, Geoff V. Merrett, Bashir M. Al-Hashimi:
The slowdown or race-to-idle question: Workload-aware energy optimization of SMT multicore platforms under process variation. DATE 2016: 535-538 - 2015
- [j4]Anup Das, Shyamsundar Venkataraman, Akash Kumar:
Autonomous Soft-Error Tolerance of FPGA Configuration Bits. ACM Trans. Reconfigurable Technol. Syst. 8(2): 12:1-12:17 (2015) - [j3]Anup Das, Amit Kumar Singh, Akash Kumar:
Execution Trace-Driven Energy-Reliability Optimization for Multimedia MPSoCs. ACM Trans. Reconfigurable Technol. Syst. 8(3): 18:1-18:19 (2015) - [c24]Anup Das, Akash Kumar, Bharadwaj Veeravalli, Rishad Ahmed Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi:
Workload uncertainty characterization and adaptive frequency scaling for energy minimization of embedded systems. DATE 2015: 43-48 - [c23]Rishad A. Shafik, Anup Das, Sheng Yang, Geoff V. Merrett, Bashir M. Al-Hashimi:
Adaptive Energy Minimization of OpenMP Parallel Applications on Many-Core Systems. PARMA-DITAM@HiPEAC 2015: 19-24 - [c22]Anup Das, Matthew J. Walker, Andreas Hansson, Bashir M. Al-Hashimi, Geoff V. Merrett:
Hardware-software interaction for run-time power optimization: A case study of embedded Linux on multicore smartphones. ISLPED 2015: 165-170 - [c21]Alberto Rodriguez Arreola, Domenico Balsamo, Anup K. Das, Alex S. Weddell, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett:
Approaches to Transient Computing for Energy Harvesting Systems: A Quantitative Evaluation. ENSsys@SenSys 2015: 3-8 - 2014
- [j2]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Communication and migration energy aware task mapping for reliable multiprocessor systems. Future Gener. Comput. Syst. 30: 216-228 (2014) - [j1]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Energy-aware task mapping and scheduling for reliable embedded computing systems. ACM Trans. Embed. Comput. Syst. 13(2s): 72:1-72:27 (2014) - [c20]Anup Das, Rishad A. Shafik, Geoff V. Merrett, Bashir M. Al-Hashimi, Akash Kumar, Bharadwaj Veeravalli:
Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems. DAC 2014: 170:1-170:6 - [c19]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs. DATE 2014: 1-6 - [c18]Anup Das, Akash Kumar, Bharadwaj Veeravalli, Cristiana Bolchini, Antonio Miele:
Combined DVFS and mapping exploration for lifetime and soft-error susceptibility improvement in MPSoCs. DATE 2014: 1-6 - [c17]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Artificial intelligence based task mapping and pipelined scheduling for checkpointing on real time systems with imperfect fault detection. DFT 2014: 134-140 - [c16]Rui Santos, Shyamsundar Venkataraman, Anup Das, Akash Kumar:
Criticality-aware scrubbing mechanism for SRAM-based FPGAs. FPL 2014: 1-8 - [c15]Shyamsundar Venkataraman, Rui Santos, Anup Das, Akash Kumar:
A bit-interleaved embedded hamming scheme to correct single-bit and multi-bit upsets for SRAM-based FPGAs. FPL 2014: 1-4 - 2013
- [c14]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems. CASES 2013: 1:1-1:10 - [c13]Amit Kumar Singh, Anup Das, Akash Kumar:
Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. DAC 2013: 115:1-115:7 - [c12]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Reliability-driven task mapping for lifetime extension of networks-on-chip based multiprocessor systems. DATE 2013: 689-694 - [c11]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Communication and migration energy aware design space exploration for multicore systems with intermittent faults. DATE 2013: 1631-1636 - [c10]Cristiana Bolchini, Matteo Carminati, Antonio Miele, Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Run-time mapping for reliable many-cores based on energy/performance trade-offs. DFTS 2013: 58-64 - [c9]Amit Kumar Singh, Anup Das, Akash Kumar:
RAPIDITAS: RAPId Design-Space-Exploration Incorporating Trace-Based Analysis and Simulation. DSD 2013: 836-843 - [c8]Anup Das, Shyamsundar Venkataraman, Akash Kumar:
Improving autonomous soft-error tolerance of FPGA through LUT configuration bit manipulation. FPL 2013: 1-8 - [c7]Anup Das, Amit Kumar Singh, Akash Kumar:
Energy-aware dynamic reconfiguration of communication-centric applications for reliable MPSoCs. ReCoSoC 2013: 1-7 - 2012
- [c6]Sheng Hao Wang, Anup Das, Akash Kumar, Henk Corporaal:
Minimizing Power Consumption of Spatial Division Based Networks-on-Chip Using Multi-path and Frequency Reduction. DSD 2012: 576-583 - [c5]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems. ICPADS 2012: 564-571 - [c4]Anup Das, Akash Kumar, Bharadwaj Veeravalli:
Fault-tolerant network interface for spatial division multiplexing based Network-on-Chip. ReCoSoC 2012: 1-8 - [c3]Anup Das, Akash Kumar:
Fault-aware task re-mapping for throughput constrained multimedia applications on NoC-based MPSoCs. RSP 2012: 149-155 - [c2]Jiashu Li, Anup Das, Akash Kumar:
A design flow for partially reconfigurable heterogeneous multi-processor platforms. RSP 2012: 170-176 - 2010
- [c1]Anup Das, Rance Rodrigues, Israel Koren, Sandip Kundu:
A study on performance benefits of core morphing in an asymmetric multicore processor. ICCD 2010: 17-22
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).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.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.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-09-23 00:13 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 has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
