5 citations · 10 across the 8 of their papers we have counts for
10 papers
Interpretation and inference for altmetric indicators arising from sparse data statistics
Lawrence Smolinsky, Bernhard Klingenberg, Brian D. Marx
In 2018 Bornmann and Haunschild (2018a) introduced a new indicator called the Mantel-Haenszel quotient (MHq) to measure alternative metrics (or altmetrics) of scientometric data. I…
Co-author weighting in bibliometric methodology and subfields of a scientific discipline
Lawrence Smolinsky, Aaron J. Lercher
Collaborative work and co-authorship are fundamental to the advancement of modern science. However, it is not clear how collaboration should be measured in achievement-based metric…
Citations versus expert opinions: Citation analysis of Featured Reviews of the American Mathematical Society
Lawrence Smolinsky, Daniel S. Sage, Aaron J. Lercher +1
Peer review and citation metrics are two means of gauging the value of scientific research, but the lack of publicly available peer review data makes the comparison of these method…
Arbitrage opportunities in publication and ghost authors
Lawrence Smolinsky
In some research evaluation systems, credit awarded to an article depends on the number of co-authors on the article with total credit to the article increasing with the number of…
The Social and Work Structure of an Afterschool Math Club
Lawrence Smolinsky, Liuli Huang, Andrew Alaniz
The objective of this exploratory study was to examine the interpersonal dynamics of an afterschool math club for middle schoolers. Using social network analysis, two networks were…
Features of a high school olympiad problem
Lawrence Smolinsky
This paper is a supplement to a talk for mathematics teachers given at the 2016 LSU Mathematics Contest for High School Students. The paper covers more details and aspects than cou…
Lotka's Inverse Square Law of Scientific Productivity: Its Methods and Statistics
Stephen J. Bensman, Lawrence J. Smolinsky
This brief communication analyzes the statistics and methods Lotka used to derive his inverse square law of scientific productivity from the standpoint of modern theory. It finds t…
Discrete power law with exponential cutoff and Lotka's Law
Lawrence Smolinsky
The first bibliometric law appeared in Alfred J. Lotka's 1926 examination of author productivity in chemistry and physics. The result is that the productivity distribution is thoug…
Power-law distributions, the h-index, and Google Scholar (GS) citations: a test of their relationship with economics Nobelists
Stephen J. Bensman, Alice Daugherty, Lawrence J. Smolinsky +2
This paper presents proof that Google Scholar (GS) can construct documentary sets relevant for evaluating researchers' works. Nobelists in economics were the researchers under anal…
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
This paper uses the Yule-Simon model to estimate to what extent the work of chemistry Nobelists and Fields medalist mathematicians is incorporated into the knowledge corpus of thei…