M. Patrick Cottrell

1.4k citations
36 papers · 1.0k · h-index 13

Impact in

Papers in

M. Patrick Cottrell

32 papers receiving 892 citations

Peers

M. Patrick Cottrell
Comparison fields: 5 of 120
  • Management Science and Operations Research 199
  • Artificial Intelligence 444
  • Signal Processing 116
  • Development 32
  • Management Information Systems 64
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İrvin Cemi̇l Schick United States
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Citations per field
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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 20 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998171
2 1995170
3 1983169
4 198687
5 200585
6 201047
7 198847
8 200940
9 200539
10 200225
11 201323
12 201614
13 200213
14 200112
15 199711
16 201510
17
Simulating interest rate structure evolution on a long term horizon: a Kohonen map application
19998
18 20157
19 19946
20 20176

About M. Patrick Cottrell

M. Patrick Cottrell is a scholar working on Artificial Intelligence, Political Science and International Relations, Computer Vision and Pattern Recognition, Sociology and Political Science and Economics and Econometrics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Face and Expression Recognition (5 papers), International Relations and Foreign Policy (4 papers), Stochastic processes and financial applications (3 papers), Global Peace and Security Dynamics (3 papers), International Law and Human Rights (3 papers), Historical and Contemporary Political Dynamics (2 papers) and Economic theories and models (2 papers). The work is most often cited by research in Management Science and Operations Research (199 citations), Artificial Intelligence (444 citations), Signal Processing (116 citations), Development (32 citations) and Management Information Systems (64 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, B. Girard, Morgan Mangeas, Christian Müller, David M. Trubek, Michel Verleysen, Amaury Lendasse and Eric de Bodt. Their work appears in journals such as Neurocomputing, Energy Research & Social Science, Biological Cybernetics, European Journal of International Relations and Review of International Studies.

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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