Rob Mills
Impact in
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- Soil Carbon and Nitrogen Dynamics
Papers in ⓘ
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- Evolutionary Algorithms and Applications 7
- Neural Networks and Applications 4
- Co-authors
- Richard A. Watson (19 shared papers)Christopher L. Buckley (10 shared papers)Daniel Weinreich (1 shared paper)Mihaela Pavličev (1 shared paper)Günter P. Wagner (1 shared paper)Thomas Schmickl (9 shared papers)Simon T. Powers (4 shared papers)Bridget A. Emmett (4 shared papers)
- Journals
- Artificial Life (6 papers)Biogeochemistry (2 papers)Science Robotics (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Biogeosciences (1 paper)
- Partner nations
- United KingdomSwitzerlandAustria
In The Last Decade
Rob Mills
38 papers receiving 653 citations
Peers
Comparison fields: 5 of 108
- Aging 15
- Soil Science 51
- Genetics 145
- Cognitive Neuroscience 95
- Urology 28
Countries citing papers authored by Rob Mills
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | 2015 | 54 | |
| 3 | 2012 | 49 | |
| 4 | 2015 | 47 | |
| 5 | 2019 | 45 | |
| 6 | 2005 | 40 | |
| 7 | 2010 | 37 | |
| 8 | 2011 | 37 | |
| 9 | Associative memory in gene regulation networks | 2010 | 27 |
| 10 | 2013 | 27 | |
| 11 | 2023 | 23 | |
| 12 | 2011 | 20 | |
| 13 | 2006 | 17 | |
| 14 | 2011 | 16 | |
| 15 | On Crossing Fitness Valleys with the Baldwin Effect | 2006 | 15 |
| 16 | 2021 | 13 | |
| 17 | 2014 | 12 | |
| 18 | The Effect of Hebbian Learning on Optimisation in Hopfield Networks | 2009 | 11 |
| 19 | 2014 | 11 | |
| 20 | 2017 | 11 |
About Rob Mills
Rob Mills is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 39 papers that have together received 669 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (10 papers), Evolutionary Algorithms and Applications (7 papers), Insect and Arachnid Ecology and Behavior (5 papers), Evolution and Genetic Dynamics (5 papers), Neural Networks and Applications (4 papers), Peatlands and Wetlands Ecology (4 papers), Plant and animal studies (4 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Aging (15 citations), Soil Science (51 citations), Genetics (145 citations), Cognitive Neuroscience (95 citations) and Urology (28 citations). Rob Mills has collaborated with scholars based in United Kingdom, Switzerland and Austria. Frequent co-authors include Richard A. Watson, Christopher L. Buckley, Daniel Weinreich, Mihaela Pavličev, Günter P. Wagner, Thomas Schmickl, Simon T. Powers, Bridget A. Emmett, Thomas M. Kessler and Urs E. Studer. Their work appears in journals such as Artificial Life, Biogeochemistry, Science Robotics, Frontiers in Bioengineering and Biotechnology and Biogeosciences.
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.