Peter Borm

3.9k citations
208 papers · 2.6k · h-index 26

Impact in

Papers in

Peter Borm

190 papers receiving 2.5k citations

Peers

Peter Borm
Comparison fields: 5 of 97
  • Management Science and Operations Research 1.7k
  • Economics and Econometrics 1.8k
  • Management Information Systems 267
  • General Decision Sciences 48
  • Industrial and Manufacturing Engineering 238
Replace Gerhard Sorger with:
Gerhard Sorger Austria
Shu‐Heng Chen Taiwan
S.H. Tijs Netherlands
Donald M. Topkis United States
James Schummer United States
Evangelos Markakis Greece
Marco Slikker Netherlands
Jay Sethuraman United States
Michal Feldman Israel
James E. Smith United States
Peter Borm relative to Gerhard Sorger Austria Gerhard Sorger's profile →
Citations per field
00.5×2.7×
Gerhard Sorger · 1×
Citations per year

Countries citing papers authored by Peter Borm

Since Specialization
Citations

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

Fields of papers citing papers by Peter Borm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992202
2 2001151
3 1999112
4 200996
5
200477
6 199677
7 200671
8 201071
9 199965
10 199258
11 199758
12 199557
13 199956
14 200151
15 200350
16 200448
17 200042
18 199939
19 199138
20 199838

About Peter Borm

Peter Borm is a scholar working on Economics and Econometrics, Management Science and Operations Research, Management Information Systems, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 208 papers that have together received 2.6k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (138 papers), Game Theory and Applications (88 papers), Auction Theory and Applications (83 papers), Economic theories and models (63 papers), Supply Chain and Inventory Management (16 papers), Law, Economics, and Judicial Systems (14 papers), Complexity and Algorithms in Graphs (12 papers) and Scheduling and Optimization Algorithms (11 papers). The work is most often cited by research in Management Science and Operations Research (1.7k citations), Economics and Econometrics (1.8k citations), Management Information Systems (267 citations), General Decision Sciences (48 citations) and Industrial and Manufacturing Engineering (238 citations). Peter Borm has collaborated with scholars based in Netherlands, Spain and United Kingdom. Frequent co-authors include Herbert Hamers, S.H. Tijs, Ruud Hendrickx, Jeroen Suijs, Anne van den Nouweland, Roy Lindelauf, Anja De Waegenaere, Mark Voorneveld, René van den Brink and Judith Timmer. Their work appears in journals such as Mathematical Methods of Operations Research, European Journal of Operational Research, International Journal of Game Theory, Top and Games and Economic Behavior.

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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