Matthew T. McMahon
- Artificial Intelligence
- Sociology and Political Science
- Social Psychology
- Experimental and Cognitive Psychology
- Civil and Structural Engineering
- Co-authors
- Brian F. TivnanChristopher M. DanforthIsabel M. KloumannAndrew J. ReaganJames P. BagrowJake Ryland WilliamsPeter Sheridan DoddsLewis Mitchell
- Topics
- Distributed and Parallel Computing Systems (3 papers)Simulation Techniques and Applications (3 papers)Topology Optimization in Engineering (2 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Matthew T. McMahon
8 papers receiving 316 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 89
- Sociology and Political Science 74
- Social Psychology 65
- Experimental and Cognitive Psychology 58
- Civil and Structural Engineering 35
Countries citing papers authored by Matthew T. McMahon
This map shows the geographic impact of Matthew T. McMahon'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 Matthew T. McMahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. McMahon more than expected).
Fields of papers citing papers by Matthew T. McMahon
This network shows the impact of papers produced by Matthew T. McMahon. 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 Matthew T. McMahon. The network helps show where Matthew T. McMahon may publish in the future.
Co-authorship network of co-authors of Matthew T. McMahon
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. McMahon. A scholar is included among the top collaborators of Matthew T. McMahon 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 Matthew T. McMahon. Matthew T. McMahon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | Human language reveals a universal positivity biasbreakdown → | 252 |
| 4 | A Generic Linear Inequalities Solver (LIS) with an Application for Automated Air Traffic Control | 1 |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 40 |
About Matthew T. McMahon
Matthew T. McMahon is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Finance, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (3 papers), Simulation Techniques and Applications (3 papers) and Topology Optimization in Engineering (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (58 citations), Social Psychology (65 citations) and Artificial Intelligence (89 citations). Matthew T. McMahon has collaborated with scholars based in United States and Australia. Frequent co-authors include Brian F. Tivnan, Christopher M. Danforth, Isabel M. Kloumann, Andrew J. Reagan, James P. Bagrow, Jake Ryland Williams, Peter Sheridan Dodds, Lewis Mitchell, Eric M. Clark and Suma Desu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Engineering With Computers.
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.