Rob Mills

1.2k citations
49 papers · 773 · h-index 16

Impact in

    • Evolution and Genetic Dynamics
    • Insect and Arachnid Ecology and Behavior

Papers in

    • Evolution and Genetic Dynamics 10
    • Insect and Arachnid Ecology and Behavior 5
    • Evolutionary Algorithms and Applications 8
    • Neural Networks and Applications 4

Rob Mills

45 papers receiving 749 citations

Peers

Rob Mills
Comparison fields: 5 of 110
  • Aging 15
  • Genetics 163
  • Cognitive Neuroscience 107
  • Soil Science 51
  • History and Philosophy of Science 23
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D’Arcy Wentworth Thompson Sweden
W. G. S. Hines Canada
Michael Grant United States
Vera Vasas United Kingdom
Guy Shinar United States
Daniel R. Amor Spain
Jorge Wagensberg Spain
Jorge Navarro Spain
Andrew M. Hein United States
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Citations per field
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Citations per year

Countries citing papers authored by Rob Mills

Since Specialization
Citations

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

Fields of papers citing papers by Rob Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201555
3 201251
4 201950
5 201550
6 201143
7 200541
8 201039
9
Associative memory in gene regulation networks
201028
10 201328
11 202325
12 201122
13 200620
14 201117
15
On Crossing Fitness Valleys with the Baldwin Effect
200617
16 201115
17 201414
18
The Effect of Hebbian Learning on Optimisation in Hopfield Networks
200914
19 202113
20 201413

About Rob Mills

Rob Mills is a scholar working on Genetics, Artificial Intelligence, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics and Statistical and Nonlinear Physics, having authored 49 papers that have together received 773 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (13 papers), Evolution and Genetic Dynamics (10 papers), Evolutionary Algorithms and Applications (8 papers), Plant and animal studies (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Insect and Pesticide Research (4 papers), Neural dynamics and brain function (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Aging (15 citations), Genetics (163 citations), Cognitive Neuroscience (107 citations), Soil Science (51 citations) and History and Philosophy of Science (23 citations). Rob Mills has collaborated with scholars based in United Kingdom, Switzerland and Portugal. Frequent co-authors include Richard A. Watson, Christopher L. Buckley, Mihaela Pavličev, Daniel Weinreich, Günter P. Wagner, Simon T. Powers, Thomas Schmickl, Bridget A. Emmett, Francesco Mondada and Thomas M. Kessler. Their work appears in journals such as Artificial Life, Biogeochemistry, Science Robotics, Evolution and Biology Direct.

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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