Lawrence J. Smolinsky

According to our database, Lawrence J. Smolinsky authored at least 20 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, February, 2024

2022

Interpretation and inference for altmetric indicators arising from sparse data statistics.

Lawrence J. Smolinsky, Bernhard Klingenberg, Brian D. Marx

J. Informetrics, 2022

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators.

Joel Emanuel Fuchs, Lawrence J. Smolinsky, Ronald Rousseau

J. Data Inf. Sci., 2022

2021

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

2020

Two theorems on "Polar coordinates and generalized h-type indices".

Lawrence J. Smolinsky

J. Informetrics, 2020

Arbitrage opportunities in publication and ghost authors.

Lawrence J. Smolinsky

J. Informetrics, 2020

Co-author Weighting in Bibliometric Methodology and Subfields of a Scientific Discipline.

Lawrence J. Smolinsky, Aaron J. Lercher

J. Data Inf. Sci., 2020

2019

Odds ratios and Mantel-Haenszel quotients.

Lawrence J. Smolinsky

J. Informetrics, 2019

National Research Council's Bibliometric Methodology and Subfields of a Scientific Discipline.

Lawrence J. Smolinsky, Aaron J. Lercher

Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

2018

Odds ratios, risk ratios, and Bornmann and Haunschild's new indicators.

Lawrence J. Smolinsky, Brian D. Marx

J. Informetrics, 2018

2017

Discrete power law with exponential cutoff and Lotka's law.

Lawrence J. Smolinsky

J. Assoc. Inf. Sci. Technol., 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

On normalization by division and comparing citation counts.

Lawrence J. Smolinsky

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

2016

Persistent value of older scientific journal articles.

Aaron J. Lercher, Lawrence J. Smolinsky

Scientometrics, 2016

Expected number of citations and the crown indicator.

Lawrence J. Smolinsky

J. Informetrics, 2016

2015

Testing theories of preferential attachment in random networks of citations.

Lawrence J. Smolinsky, Aaron J. Lercher, Andrew McDaniel

J. Assoc. Inf. Sci. Technol., 2015

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

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

2012

Citation rates in mathematics: a study of variation by subdiscipline.

Lawrence J. Smolinsky, Aaron J. Lercher

Scientometrics, 2012

2010

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