M. Patrick Cottrell

1.4k citations
28 papers · 827 · h-index 12

Impact in

Papers in

M. Patrick Cottrell

26 papers receiving 730 citations

Peers

M. Patrick Cottrell
Comparison fields: 5 of 119
  • Management Science and Operations Research 175
  • Artificial Intelligence 333
  • Development 30
  • Signal Processing 86
  • Management Information Systems 59
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Citations per year

Countries citing papers authored by M. Patrick Cottrell

Since Specialization
Citations

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

Fields of papers citing papers by M. Patrick Cottrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Patrick Cottrell. 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 M. Patrick Cottrell. The network helps show where M. Patrick Cottrell may publish in the future.

Co-authors

The 16 scholars most cited alongside M. Patrick Cottrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Patrick Cottrell Line = papers co-authored together M. Patrick Cottrell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983157
2 1995143
3 1998128
4 200566
5 198666
6 201039
7 198838
8 200937
9 200533
10 201319
11 200217
12 201614
13 200211
14 201510
15 19979
16
Simulating interest rate structure evolution on a long term horizon: a Kohonen map application
19998
17 20157
18 20175
19 20024
20 20174

About M. Patrick Cottrell

M. Patrick Cottrell is a scholar working on Political Science and International Relations, Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition and Signal Processing, having authored 28 papers that have together received 827 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), International Relations and Foreign Policy (4 papers), International Law and Human Rights (3 papers), Global Peace and Security Dynamics (3 papers), Face and Expression Recognition (2 papers), Nuclear Issues and Defense (2 papers), Image Retrieval and Classification Techniques (2 papers) and Sports, Gender, and Society (2 papers). The work is most often cited by research in Management Science and Operations Research (175 citations), Artificial Intelligence (333 citations), Development (30 citations), Signal Processing (86 citations) and Management Information Systems (59 citations). M. Patrick Cottrell has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jean‐Claude Fort, Gilles Pagès, Mark T. Nance, Christian Müller, Morgan Mangeas, B. Girard, David M. Trubek, Amaury Lendasse, Michel Verleysen and Gyula Simon. Their work appears in journals such as European Journal of International Relations, Energy Research & Social Science, Neurocomputing, Biological Cybernetics and Refugee Survey Quarterly.

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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