Samuel Holtzman

34 total papers · 579 total citations
18 papers, 395 citations indexed

About

Samuel Holtzman is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Samuel Holtzman has authored 18 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Artificial Intelligence and 3 papers in Clinical Psychology. Recurrent topics in Samuel Holtzman's work include Bayesian Modeling and Causal Inference (5 papers), Organ Donation and Transplantation (4 papers) and AI-based Problem Solving and Planning (3 papers). Samuel Holtzman is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Organ Donation and Transplantation (4 papers) and AI-based Problem Solving and Planning (3 papers). Samuel Holtzman collaborates with scholars based in United States. Samuel Holtzman's co-authors include James Matheson, James E. Smith, Michael Newman, Kenneth S. Kornman, Roger Durand, Phillip J. Decker, Kimberly Davis, Adam Seiver, Charles Van Buren and Nicholas Crafts and has published in prestigious journals such as European Journal of Operational Research, Annals of the New York Academy of Sciences and Operations Research.

In The Last Decade

Samuel Holtzman

18 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel Holtzman 161 90 75 37 30 18 395
Chun-Lang Chang 120 0.7× 79 0.9× 8 0.1× 3 0.1× 5 0.2× 15 385
William J. Tastle 52 0.3× 65 0.7× 22 0.3× 8 0.3× 32 414
Nicola Lunardon 96 0.6× 14 0.2× 18 0.2× 2 0.1× 16 0.5× 11 401
Andrew Swiergosz 72 0.4× 13 0.1× 18 0.2× 3 0.1× 118 3.9× 10 436
Michele La Rocca 59 0.4× 66 0.7× 4 0.1× 25 0.7× 10 0.3× 33 332
Salih Tutun 102 0.6× 57 0.6× 15 0.2× 5 0.2× 17 349
Charles T. Gray 72 0.4× 5 0.1× 33 0.4× 2 0.1× 28 0.9× 10 432
David Riaño 216 1.3× 33 0.4× 55 0.7× 2 0.1× 11 0.4× 51 440
Matthew E. Fitzgerald 8 0.0× 50 0.6× 20 0.3× 2 0.1× 18 0.6× 30 357
Stefan Zugal 103 0.6× 31 0.3× 36 0.5× 11 0.4× 27 409

Countries citing papers authored by Samuel Holtzman

Since Specialization
Citations

This map shows the geographic impact of Samuel Holtzman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Holtzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Holtzman more than expected).

Fields of papers citing papers by Samuel Holtzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Holtzman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Holtzman. The network helps show where Samuel Holtzman may publish in the future.

Co-authorship network of co-authors of Samuel Holtzman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Holtzman. A scholar is included among the top collaborators of Samuel Holtzman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Holtzman. Samuel Holtzman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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