Neil T. Diamond

47 total papers · 423 total citations
26 papers, 292 citations indexed

About

Neil T. Diamond is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Neil T. Diamond has authored 26 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 5 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Neil T. Diamond's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Optimal Experimental Design Methods (4 papers) and Sport and Mega-Event Impacts (2 papers). Neil T. Diamond is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Optimal Experimental Design Methods (4 papers) and Sport and Mega-Event Impacts (2 papers). Neil T. Diamond collaborates with scholars based in Australia, Switzerland and United States. Neil T. Diamond's co-authors include Ewa Sztendur, Dorothy Bruck, Julie Byles, Melinda L. Jackson, Kate de Bruin, Sever S Dragomir, Dennis W. Moore, Joanne Deppeler, David C. Steart and Paul I. Boon and has published in prestigious journals such as Review of Educational Research, BMC Public Health and Knee Surgery Sports Traumatology Arthroscopy.

In The Last Decade

Neil T. Diamond

23 papers receiving 261 citations

Author Peers

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

Author Last Decade Papers Cites
Neil T. Diamond 68 64 46 33 29 26 292
Eren Can Aybek 41 0.6× 29 0.5× 40 0.9× 14 0.4× 61 2.1× 29 305
Gabriela Stegmann 40 0.6× 44 0.7× 25 0.5× 13 0.4× 14 0.5× 23 288
J. B. Stroud 21 0.3× 37 0.6× 37 0.8× 4 0.1× 37 1.3× 29 285
Maximilian Maier 51 0.8× 41 0.6× 28 0.6× 15 0.5× 11 0.4× 19 307
Eric P. Charles 62 0.9× 37 0.6× 40 0.9× 15 0.5× 26 0.9× 30 326
Virginia L. Senders 74 1.1× 23 0.4× 14 0.3× 18 0.5× 23 0.8× 15 301
Daan G. Nel 51 0.8× 31 0.5× 65 1.4× 10 0.3× 4 0.1× 19 313
Michael Hildebrandt 55 0.8× 18 0.3× 31 0.7× 16 0.5× 18 0.6× 30 284
Yingying Yang 118 1.7× 24 0.4× 15 0.3× 12 0.4× 13 0.4× 41 310
Jamis J. Perrett 19 0.3× 21 0.3× 25 0.5× 9 0.3× 78 2.7× 17 300

Countries citing papers authored by Neil T. Diamond

Since Specialization
Citations

This map shows the geographic impact of Neil T. Diamond'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 Neil T. Diamond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil T. Diamond more than expected).

Fields of papers citing papers by Neil T. Diamond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil T. Diamond. 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 Neil T. Diamond. The network helps show where Neil T. Diamond may publish in the future.

Co-authorship network of co-authors of Neil T. Diamond

This figure shows the co-authorship network connecting the top 25 collaborators of Neil T. Diamond. A scholar is included among the top collaborators of Neil T. Diamond 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 Neil T. Diamond. Neil T. Diamond 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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