James A. Pittman

100 total papers · 2.1k total citations
69 papers, 1.4k citations indexed

About

James A. Pittman is a scholar working on Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, James A. Pittman has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in James A. Pittman's work include Thyroid Disorders and Treatments (19 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Handwritten Text Recognition Techniques (6 papers). James A. Pittman is often cited by papers focused on Thyroid Disorders and Treatments (19 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Handwritten Text Recognition Techniques (6 papers). James A. Pittman collaborates with scholars based in United States, Switzerland and Australia. James A. Pittman's co-authors include Jerome M. Hershman, Gale L. Martin, Charles M. Baugh, George Dailey, Philip R. Cohen, Constance S. Pittman, Ira Smith, David R. McGee, Sharon Oviatt and Michael Johnston and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

James A. Pittman

64 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
James A. Pittman 586 237 151 107 102 69 1.4k
Himanshu Arora 107 0.2× 60 0.3× 123 0.8× 468 4.4× 23 0.2× 87 1.5k
Paul Compton 176 0.3× 845 3.6× 81 0.5× 228 2.1× 8 0.1× 82 1.6k
Sten Carlsson 89 0.2× 51 0.2× 194 1.3× 103 1.0× 8 0.1× 77 1.2k
Νικόλαος Γιαννακέας 41 0.1× 293 1.2× 116 0.8× 150 1.4× 69 0.7× 116 1.6k
Scott Lee 109 0.2× 200 0.8× 48 0.3× 140 1.3× 33 0.3× 73 1.6k
Yuqi Cui 72 0.1× 136 0.6× 35 0.2× 302 2.8× 16 0.2× 70 1.5k
Pierre Chatelain 359 0.6× 160 0.7× 109 0.7× 569 5.3× 18 0.2× 88 1.7k
Tomohiro Harada 130 0.2× 272 1.1× 99 0.7× 183 1.7× 18 0.2× 123 1.5k
B.S. Thomas 336 0.6× 41 0.2× 29 0.2× 152 1.4× 9 0.1× 61 1.2k
Kenneth H. Norwich 246 0.4× 94 0.4× 14 0.1× 207 1.9× 8 0.1× 78 1.4k

Countries citing papers authored by James A. Pittman

Since Specialization
Citations

This map shows the geographic impact of James A. Pittman'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 James A. Pittman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Pittman more than expected).

Fields of papers citing papers by James A. Pittman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Pittman. 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 James A. Pittman. The network helps show where James A. Pittman may publish in the future.

Co-authorship network of co-authors of James A. Pittman

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Pittman. A scholar is included among the top collaborators of James A. Pittman 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 James A. Pittman. James A. Pittman 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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