John Hallam

4.1k citations
169 papers · 3.0k · h-index 28

Impact in

Papers in

John Hallam

161 papers receiving 2.7k citations

Peers

John Hallam
Comparison fields: 5 of 145
  • Developmental Biology 150
  • Artificial Intelligence 1.4k
  • Developmental and Educational Psychology 420
  • Human-Computer Interaction 156
  • Cognitive Neuroscience 465
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Stephen Marsland New Zealand
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Randall D. Beer United States
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John Hallam relative to Stephen Marsland New Zealand Stephen Marsland's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Hallam

Since Specialization
Citations

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

Fields of papers citing papers by John Hallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
From Animals to Animats
2004227
2
From Animals to Animats 10
2008161
3 2009153
4 2007103
5 200899
6 200794
7 201487
8
European Symposium on Artificial Neural Networks
200686
9 200486
10 201171
11 200867
12 200263
13 200161
14 200961
15 200256
16 199853
17 200651
18 199846
19 200244
20 200140

About John Hallam

John Hallam is a scholar working on Artificial Intelligence, Ecology, Evolution, Behavior and Systematics, Computer Vision and Pattern Recognition, Developmental Biology and Ecology, having authored 169 papers that have together received 3.0k indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (24 papers), Reinforcement Learning in Robotics (24 papers), Bat Biology and Ecology Studies (23 papers), Artificial Intelligence in Games (19 papers), Marine animal studies overview (18 papers), Evolutionary Algorithms and Applications (17 papers), Educational Games and Gamification (12 papers) and Modular Robots and Swarm Intelligence (11 papers). The work is most often cited by research in Developmental Biology (150 citations), Artificial Intelligence (1.4k citations), Developmental and Educational Psychology (420 citations), Human-Computer Interaction (156 citations) and Cognitive Neuroscience (465 citations). John Hallam has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Georgios N. Yannakakis, Henrik Hautop Lund, Wei‐Po Lee, Auke Jan Ijspeert, Herbert Peremans, Aude Billard, Sethu Vijayakumar, Stefan Schaal, Leena N. Patel and Jean-Arcady Meyer. Their work appears in journals such as The Journal of the Acoustical Society of America, Adaptive Behavior, International Journal of Neural Systems, Robotics and Autonomous Systems and Lecture notes in 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.

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