James W. Hooper

52 total papers · 707 total citations
30 papers, 516 citations indexed

About

James W. Hooper is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, James W. Hooper has authored 30 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in James W. Hooper's work include Simulation Techniques and Applications (7 papers), Advanced Software Engineering Methodologies (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). James W. Hooper is often cited by papers focused on Simulation Techniques and Applications (7 papers), Advanced Software Engineering Methodologies (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). James W. Hooper collaborates with scholars based in United States, United Kingdom and Australia. James W. Hooper's co-authors include Anna Dornhaus, Nigel R. Franks, Pei Hsia, Catherine L. Webb, Michael Kemp, Francis D. Ferdinand, Tat W. Koh, J Pepper, D G Gibson and Stefanie M. Berghoff and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, The Journal of Urology and Animal Behaviour.

In The Last Decade

James W. Hooper

28 papers receiving 480 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 W. Hooper 114 112 110 108 105 30 516
Olivier Van Laere 71 0.6× 95 0.8× 77 0.7× 3 0.0× 75 0.7× 48 549
Cartik R. Kothari 17 0.1× 10 0.1× 105 1.0× 16 0.1× 33 0.3× 18 463
Girmaw Abebe Tadesse 27 0.2× 26 0.2× 109 1.0× 25 0.2× 38 549
T. Vijayakumar 10 0.1× 7 0.1× 47 0.4× 28 0.3× 9 0.1× 40 535
Amjad Mahmood 39 0.3× 1 0.0× 116 1.1× 37 0.3× 15 0.1× 53 614
Kaniz Fatema 6 0.1× 3 0.0× 33 0.3× 12 0.1× 12 0.1× 31 452
Zhongjie Li 4 0.0× 5 0.0× 178 1.6× 10 0.1× 6 0.1× 46 589
Giovanni Paragliola 22 0.2× 28 0.3× 26 0.2× 10 0.1× 35 512
Efnan Şora Günal 12 0.1× 12 0.1× 119 1.1× 361 3.3× 15 0.1× 17 585
Ming Zhu 183 1.6× 47 0.4× 6 0.1× 39 0.4× 51 514

Countries citing papers authored by James W. Hooper

Since Specialization
Citations

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

Fields of papers citing papers by James W. Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James W. Hooper

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