Paul Ormerod

21 papers receiving 271 citations

Peers

Paul Ormerod
Comparison fields: 5 of 108
  • Management Science and Operations Research 42
  • Modeling and Simulation 14
  • Urban Studies 17
  • Statistical and Nonlinear Physics 30
  • Economics and Econometrics 56
Replace Marc Keuschnigg with:
Marc Keuschnigg Germany
Susan Smith United Arab Emirates
Thomas W. Haase United States
Sun‐Ki Chai United States
Diana Mok Canada
Alina Lungeanu United States
Brad R. Taylor Australia
Claire Connolly Knox United States
Dan He China
Paul Ormerod relative to Marc Keuschnigg Germany Marc Keuschnigg's profile →
Citations per field
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Marc Keuschnigg · 1×
Citations per year

Countries citing papers authored by Paul Ormerod

Since Specialization
Citations

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

Fields of papers citing papers by Paul Ormerod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Ormerod. 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 Paul Ormerod. The network helps show where Paul Ormerod may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul Ormerod, 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 Paul Ormerod Line = papers co-authored together Paul Ormerod links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 200838
3 201027
4 200924
5 201416
6 200514
7 200612
8 200910
9 20159
10 20048
11 20038
12 20027
13 20055
14 20194
15 20123
16 20072
17 19902
18 19972
19 19961
20 20121

About Paul Ormerod

Paul Ormerod is a scholar working on Sociology and Political Science, Management Science and Operations Research, Statistical and Nonlinear Physics, Epidemiology and Marketing, having authored 26 papers that have together received 300 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Crime Patterns and Interventions (2 papers), Consumer Market Behavior and Pricing (2 papers), Misinformation and Its Impacts (2 papers), Culture, Economy, and Development Studies (2 papers), Language and cultural evolution (2 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Management Science and Operations Research (42 citations), Modeling and Simulation (14 citations), Urban Studies (17 citations), Statistical and Nonlinear Physics (30 citations) and Economics and Econometrics (56 citations). Paul Ormerod has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include R. Alexander Bentley, Christophe Le Page, Ruth Meyer, Bruce Edmonds, Cristina Montañola‐Sales, Volker Grimm, Mike Bithell, Edmund Chattoe‐Brown, Flaminio Squazzoni and Hilton L. Root. Their work appears in journals such as Long Range Planning, PLoS Currents, The Political Quarterly, Journal of Artificial Societies and Social Simulation and Nature.

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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