Stephen E. G. Lea

165 papers receiving 7.3k citations

Stephen E. G. Lea's Hit Papers

The psychology of animal learning 1975 · 1.6k citations
1.6k0+17+34Years since publication50010001.5k

Peers

Stephen E. G. Lea
Comparison fields: 5 of 180
  • General Decision Sciences 368
  • Developmental Biology 337
  • Developmental and Educational Psychology 1.9k
  • Cognitive Neuroscience 1.9k
  • Social Psychology 1.9k
Replace Daniel Nettle with:
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Citations per year

Countries citing papers authored by Stephen E. G. Lea

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. G. Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. G. Lea. 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 Stephen E. G. Lea. The network helps show where Stephen E. G. Lea may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The psychology of animal learning
Hit paper breakdown →
19751619
2 1996498
3 1995289
4 2006277
5 2008268
6 1995258
7 1979250
8 1978245
9 2000220
10 1993169
11 1994142
12
The Individual in the Economy
1987124
13 2005111
14 1977105
15 200488
16 199981
17 199877
18 201377
19 200776
20 199774

About Stephen E. G. Lea

Stephen E. G. Lea is a scholar working on Developmental and Educational Psychology, Social Psychology, Cognitive Neuroscience, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 168 papers that have together received 7.8k indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (39 papers), Child and Animal Learning Development (18 papers), Animal Behavior and Reproduction (18 papers), Primate Behavior and Ecology (16 papers), Animal Behavior and Welfare Studies (15 papers), Animal Nutrition and Physiology (13 papers), Cognitive and developmental aspects of mathematical skills (12 papers) and Animal Ecology and Behavior Studies (11 papers). The work is most often cited by research in General Decision Sciences (368 citations), Developmental Biology (337 citations), Developmental and Educational Psychology (1.9k citations), Cognitive Neuroscience (1.9k citations) and Social Psychology (1.9k citations). Stephen E. G. Lea has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul Webley, Winand H. Dittrich, Lisa A. Leaver, Emma Davies, Dawn Morgan, Tom Trościanko, Michael C. Corballis, Catherine M. Walker, Roger M. Tarpy and Catriona M. E. Ryan. Their work appears in journals such as Journal of Economic Psychology, Animal Cognition, Animal Behaviour, Behavioral and Brain Sciences and Behavioural Processes.

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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