Peter M. Todd

157 papers receiving 8.9k citations

Peter M. Todd's Hit Papers

Exploration versus exploitation in space, mind, and society 2014 · 337 citations
3370+12+24Years since publication50010001.5k2.0k

Peers

Peter M. Todd
Comparison fields: 5 of 200
  • General Decision Sciences 2.0k
  • Experimental and Cognitive Psychology 1.6k
  • Applied Psychology 563
  • Safety Research 870
  • Marketing 921
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Citations per year

Countries citing papers authored by Peter M. Todd

Since Specialization
Citations

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

Fields of papers citing papers by Peter M. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Simple Heuristics That Make Us Smart
Hit paper breakdown →
19992262
2
Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload
Hit paper breakdown →
2010671
3
Designing neural networks using genetic algorithms
Hit paper breakdown →
1989455
4 2000405
5
Ecological RationalityIntelligence in the World
Hit paper breakdown →
2012400
6
Exploration versus exploitation in space, mind, and society
Hit paper breakdown →
2014337
7
Fast and frugal heuristics: The adaptive toolbox.
1999326
8 2012249
9 2007236
10 2007223
11 2015222
12 1998221
13 2003192
14 2007178
15 2005142
16 2009132
17 1989124
18 2007115
19 2007102
20 201092

About Peter M. Todd

Peter M. Todd is a scholar working on Experimental and Cognitive Psychology, Sociology and Political Science, General Decision Sciences, Cognitive Neuroscience and Artificial Intelligence, having authored 161 papers that have together received 9.6k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (31 papers), Evolutionary Psychology and Human Behavior (29 papers), Decision-Making and Behavioral Economics (27 papers), Experimental Behavioral Economics Studies (15 papers), Animal Behavior and Reproduction (11 papers), Psychology of Moral and Emotional Judgment (10 papers), Child and Animal Learning Development (9 papers) and Game Theory and Applications (8 papers). The work is most often cited by research in General Decision Sciences (2.0k citations), Experimental and Cognitive Psychology (1.6k citations), Applied Psychology (563 citations), Safety Research (870 citations) and Marketing (921 citations). Peter M. Todd has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gerd Gigerenzer, Geoffrey F. Miller, Benjamin Scheibehenne, Thomas T. Hills, Rainer Greifeneder, Shailesh Hegde, Barbara Fasolo, Lars Penke, Michael N. Jones and Andreas Wilke. Their work appears in journals such as Behavioral and Brain Sciences, Appetite, Adaptive Behavior, Cognitive Science and Evolution and Human 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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