Steve Phelps

860 citations
44 papers · 617 · h-index 12

Impact in

Papers in

Steve Phelps

42 papers receiving 568 citations

Peers

Steve Phelps
Comparison fields: 5 of 105
  • Developmental Biology 60
  • Management Science and Operations Research 238
  • Marketing 79
  • Ecology, Evolution, Behavior and Systematics 99
  • Economics and Econometrics 134
Replace Rahul Savani with:
Rahul Savani United Kingdom
Barry Eaglestone United Kingdom
E. J. Collins United Kingdom
Güven Demirel United Kingdom
Nádia Félix Felipe da Silva Brazil
Mauro Martino United States
Segismundo S. Izquierdo Spain
Holger Ebel Germany
Daniel Mittleman United States
Luo-Luo Jiang China
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Citations per field
00.5×2.9×
Rahul Savani · 1×
Citations per year

Countries citing papers authored by Steve Phelps

Since Specialization
Citations

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

Fields of papers citing papers by Steve Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200979
2 200378
3 200576
4 200240
5 200639
6 201338
7 201830
8 200826
9
Overview of CAT: A Market Design Competition
200926
10 201318
11 201217
12 201213
13 200811
14 201910
15 200910
16 20189
17 20078
18 20167
19
Coevolution of Technical Trading Rules for High Frequency Trading
20106
20 20106

About Steve Phelps

Steve Phelps is a scholar working on Management Science and Operations Research, Economics and Econometrics, Statistical and Nonlinear Physics, Marketing and Finance, having authored 44 papers that have together received 617 indexed citations. Recurring topics across this work include Auction Theory and Applications (13 papers), Complex Systems and Time Series Analysis (13 papers), Game Theory and Applications (11 papers), Consumer Market Behavior and Pricing (8 papers), Economic theories and models (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Opinion Dynamics and Social Influence (6 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in Developmental Biology (60 citations), Management Science and Operations Research (238 citations), Marketing (79 citations), Ecology, Evolution, Behavior and Systematics (99 citations) and Economics and Econometrics (134 citations). Steve Phelps has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon Parsons, Peter McBurney, Valentina Tamma, Ian Dickinson, Michael Wooldridge, Peter L. Hurd, William Rand, Michael J. Ryan, A. Stanley Rand and Elizabeth Sklar. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, PLoS ONE, IEEE Intelligent Systems, Journal of Avian Biology and The American Naturalist.

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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