Mean citation rate per article in mathematics journals: Differences from the scientific model. - Stephen J. Bensman; Lawrence J. Smolinsky; Alexander I. Pudovkin (J. Assoc. Inf. Sci. Technol., 2010)

Citation rates in mathematics: a study of variation by subdiscipline. - Lawrence J. Smolinsky; Aaron J. Lercher (Scientometrics, 2012)

Power-law distributions, the h-index, and Google Scholar (GS) citations: a test of their relationship with economics Nobelists. - Stephen J. Bensman; Alice L. Daugherty; Lawrence J. Smolinsky; Daniel S. Sage; J. Sylvan Katz (CoRR, 2014)

Comparison of the Research Effectiveness of Chemistry Nobelists and Fields Medalist Mathematicians with Google Scholar: the Yule-Simon Model. - Stephen J. Bensman; Lawrence J. Smolinsky; Daniel S. Sage (CoRR, 2014)

Testing theories of preferential attachment in random networks of citations. - Lawrence J. Smolinsky; Aaron J. Lercher; Andrew McDaniel (J. Assoc. Inf. Sci. Technol., 2015)

Expected number of citations and the crown indicator. - Lawrence J. Smolinsky (J. Informetrics, 2016)

Persistent value of older scientific journal articles. - Aaron J. Lercher; Lawrence J. Smolinsky (Scientometrics, 2016)

On normalization by division and comparing citation counts. - Lawrence J. Smolinsky (ISSI, 2017)

Lotka's inverse square law of scientific productivity: Its methods and statistics. - Stephen J. Bensman; Lawrence J. Smolinsky (J. Assoc. Inf. Sci. Technol., 2017)

Discrete power law with exponential cutoff and Lotka's law. - Lawrence J. Smolinsky (J. Assoc. Inf. Sci. Technol., 2017)

Odds ratios, risk ratios, and Bornmann and Haunschild's new indicators. - Lawrence J. Smolinsky; Brian D. Marx (J. Informetrics, 2018)

National Research Council's Bibliometric Methodology and Subfields of a Scientific Discipline. - Lawrence J. Smolinsky; Aaron J. Lercher (ISSI, 2019)

Odds ratios and Mantel-Haenszel quotients. - Lawrence J. Smolinsky (J. Informetrics, 2019)

Co-author Weighting in Bibliometric Methodology and Subfields of a Scientific Discipline. - Lawrence J. Smolinsky; Aaron J. Lercher (J. Data Inf. Sci., 2020)

Arbitrage opportunities in publication and ghost authors. - Lawrence J. Smolinsky (J. Informetrics, 2020)

Two theorems on "Polar coordinates and generalized h-type indices". - Lawrence J. Smolinsky (J. Informetrics, 2020)

Citations versus expert opinions: citation analysis of featured reviews of the American Mathematical Society. - Lawrence J. Smolinsky; Daniel S. Sage; Aaron J. Lercher; Aaron Cao (Scientometrics, 2021)

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators. - Joel Emanuel Fuchs; Lawrence J. Smolinsky; Ronald Rousseau 001 (J. Data Inf. Sci., 2022)

Interpretation and inference for altmetric indicators arising from sparse data statistics. - Lawrence J. Smolinsky; Bernhard Klingenberg; Brian D. Marx (J. Informetrics, 2022)

Validity and bias of indicators of international collaboration: A theoretical analysis with an empirical study of Ukraine-Russia-United States and China-United States. - Lawrence J. Smolinsky; Seungwon Yang (J. Informetrics, 2024)