Martin Gairing
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Burkhard MonienRahul SavaniMarios MavronicolasThomas LückingTim RoughgardenKshipra BhawalkarStephen T. HedetniemiFlorian Schoppmann
- Topics
- Game Theory and Applications (22 papers)Game Theory and Voting Systems (16 papers)Optimization and Search Problems (11 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsComputer Networks and Communications
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Martin Gairing
28 papers receiving 443 citations
Peers
Comparison fields: 5 of 40
- Management Science and Operations Research 315
- Economics and Econometrics 215
- Computer Networks and Communications 149
- Statistical and Nonlinear Physics 48
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Martin Gairing
This map shows the geographic impact of Martin Gairing'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 Martin Gairing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Gairing more than expected).
Fields of papers citing papers by Martin Gairing
This network shows the impact of papers produced by Martin Gairing. 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 Martin Gairing. The network helps show where Martin Gairing may publish in the future.
Co-authorship network of co-authors of Martin Gairing
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gairing. A scholar is included among the top collaborators of Martin Gairing 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 Martin Gairing. Martin Gairing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 29 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 32 | |
| 14 | Selfish routing in networks | 1 |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 21 | |
| 18 | 9 | |
| 19 | 32 | |
| 20 | 51 |
About Martin Gairing
Martin Gairing is a scholar working on Management Science and Operations Research, Economics and Econometrics and Computer Networks and Communications, having authored 35 papers that have together received 466 indexed citations. Recurring topics across this work include Game Theory and Applications (22 papers), Game Theory and Voting Systems (16 papers) and Optimization and Search Problems (11 papers). The work is most often cited by research in Management Science and Operations Research (315 citations), Economics and Econometrics (215 citations) and Computer Networks and Communications (149 citations). Martin Gairing has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Burkhard Monien, Rahul Savani, Marios Mavronicolas, Thomas Lücking, Tim Roughgarden, Kshipra Bhawalkar, Stephen T. Hedetniemi, Florian Schoppmann, George Christodoulou and Wayne Goddard. Their work appears in journals such as Operations Research, SIAM Journal on Computing and Theoretical Computer Science.
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.