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ORCIDLawrence J. Smolinsky
Person information
- affiliation: Louisiana State University, Department of Mathematics, Baton Rouge, LA, USA
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Journal Articles
- 2024
[j16]Lawrence J. Smolinsky
, Seungwon Yang:
Validity and bias of indicators of international collaboration: A theoretical analysis with an empirical study of Ukraine-Russia-United States and China-United States. J. Informetrics 18(1): 101488 (2024)- 2022
- [j15]Joel Emanuel Fuchs, Lawrence J. Smolinsky, Ronald Rousseau:
Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators. J. Data Inf. Sci. 7(4): 5-15 (2022) - [j14]Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx:
Interpretation and inference for altmetric indicators arising from sparse data statistics. J. Informetrics 16(1): 101250 (2022) - 2021
- [j13]Lawrence J. Smolinsky, Daniel S. Sage, Aaron J. Lercher, Aaron Cao:
Citations versus expert opinions: citation analysis of featured reviews of the American Mathematical Society. Scientometrics 126(5): 3853-3870 (2021) - 2020
- [j12]Lawrence J. Smolinsky, Aaron J. Lercher:
Co-author Weighting in Bibliometric Methodology and Subfields of a Scientific Discipline. J. Data Inf. Sci. 5(3): 84-96 (2020) - [j11]Lawrence J. Smolinsky:
Arbitrage opportunities in publication and ghost authors. J. Informetrics 14(2): 101016 (2020) - [j10]Lawrence J. Smolinsky:
Two theorems on "Polar coordinates and generalized h-type indices". J. Informetrics 14(3): 101045 (2020) - 2019
- [j9]Lawrence J. Smolinsky:
Odds ratios and Mantel-Haenszel quotients. J. Informetrics 13(1): 462-463 (2019) - 2018
- [j8]Lawrence J. Smolinsky, Brian D. Marx:
Odds ratios, risk ratios, and Bornmann and Haunschild's new indicators. J. Informetrics 12(3): 732-735 (2018) - 2017
- [j7]Stephen J. Bensman, Lawrence J. Smolinsky:
Lotka's inverse square law of scientific productivity: Its methods and statistics. J. Assoc. Inf. Sci. Technol. 68(7): 1786-1791 (2017) - [j6]Lawrence J. Smolinsky:
Discrete power law with exponential cutoff and Lotka's law. J. Assoc. Inf. Sci. Technol. 68(7): 1792-1795 (2017) - 2016
- [j5]Lawrence J. Smolinsky:
Expected number of citations and the crown indicator. J. Informetrics 10(1): 43-47 (2016) - [j4]Aaron J. Lercher, Lawrence J. Smolinsky:
Persistent value of older scientific journal articles. Scientometrics 108(3): 1205-1220 (2016) - 2015
- [j3]Lawrence J. Smolinsky, Aaron J. Lercher, Andrew McDaniel:
Testing theories of preferential attachment in random networks of citations. J. Assoc. Inf. Sci. Technol. 66(10): 2132-2145 (2015) - 2012
- [j2]Lawrence J. Smolinsky, Aaron J. Lercher:
Citation rates in mathematics: a study of variation by subdiscipline. Scientometrics 91(3): 911-924 (2012) - 2010
- [j1]Stephen J. Bensman, Lawrence J. Smolinsky, Alexander I. Pudovkin:
Mean citation rate per article in mathematics journals: Differences from the scientific model. J. Assoc. Inf. Sci. Technol. 61(7): 1440-1463 (2010)
Conference and Workshop Papers
- 2019
- [c2]Lawrence J. Smolinsky, Aaron J. Lercher:
National Research Council's Bibliometric Methodology and Subfields of a Scientific Discipline. ISSI 2019: 2684-2685 - 2017
- [c1]Lawrence J. Smolinsky:
On normalization by division and comparing citation counts. ISSI 2017: 1670-1671
Informal and Other Publications
- 2022
- [i8]Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx:
Interpretation and inference for altmetric indicators arising from sparse data statistics. CoRR abs/2201.03492 (2022) - 2020
- [i7]Lawrence J. Smolinsky, Daniel S. Sage, Aaron J. Lercher, Aaron Cao:
Citations versus expert opinions: Citation analysis of Featured Reviews of the American Mathematical Society. CoRR abs/2005.05389 (2020) - [i6]Lawrence J. Smolinsky, Aaron J. Lercher:
Co-author weighting in bibliometric methodology and subfields of a scientific discipline. CoRR abs/2005.05471 (2020) - 2019
- [i5]Lawrence J. Smolinsky:
Arbitrage opportunities in publication and ghost authors. CoRR abs/1911.05197 (2019) - 2016
- [i4]Stephen J. Bensman, Lawrence J. Smolinsky:
Lotka's Inverse Square Law of Scientific Productivity: Its Methods and Statistics. CoRR abs/1601.04950 (2016) - 2015
- [i3]Lawrence J. Smolinsky:
Discrete power law with exponential cutoff and Lotka's Law. CoRR abs/1512.08754 (2015) - 2014
- [i2]Stephen J. Bensman, Lawrence J. Smolinsky, Daniel S. Sage:
Comparison of the Research Effectiveness of Chemistry Nobelists and Fields Medalist Mathematicians with Google Scholar: the Yule-Simon Model. CoRR abs/1404.4904 (2014) - [i1]Stephen J. Bensman, Alice L. Daugherty, Lawrence J. Smolinsky, Daniel S. Sage, J. Sylvan Katz:
Power-law distributions, the h-index, and Google Scholar (GS) citations: a test of their relationship with economics Nobelists. CoRR abs/1411.0928 (2014)
Coauthor Index
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