James Montgomery
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 30
- Evolutionary Algorithms and Applications 25
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- Advanced Multi-Objective Optimization Algorithms 21
- Co-authors
- Stephen Chen (18 shared papers)Antonio Bolufé-Röhler (10 shared papers)Saurabh Garg (13 shared papers)Marcus Randall (13 shared papers)Tim Hendtlass (8 shared papers)Erfan Aghasian (3 shared papers)Longxiang Gao (2 shared papers)Andrew Lewis (8 shared papers)
In The Last Decade
James Montgomery
67 papers receiving 811 citations
Peers
Comparison fields: 5 of 117
- Developmental Biology 55
- Computational Theory and Mathematics 236
- Artificial Intelligence 412
- Environmental Engineering 73
- Computer Science Applications 27
Countries citing papers authored by James Montgomery
This map shows the geographic impact of James Montgomery'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 James Montgomery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Montgomery more than expected).
Fields of papers citing papers by James Montgomery
This network shows the impact of papers produced by James Montgomery. 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 James Montgomery. The network helps show where James Montgomery may publish in the future.
Co-authors
The 25 scholars most cited alongside James Montgomery, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2017 | 58 | |
| 3 | 2021 | 55 | |
| 4 | 2010 | 53 | |
| 5 | 2018 | 48 | |
| 6 | 2019 | 33 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2013 | 19 | |
| 11 | 2003 | 18 | |
| 12 | 2009 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2013 | 16 | |
| 15 | 2012 | 15 | |
| 16 | 2010 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 2011 | 12 | |
| 20 | 2013 | 12 |
About James Montgomery
James Montgomery is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Developmental Biology and Signal Processing, having authored 70 papers that have together received 837 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Evolutionary Algorithms and Applications (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Music and Audio Processing (7 papers), Animal Vocal Communication and Behavior (7 papers), Water resources management and optimization (5 papers), Vehicle Routing Optimization Methods (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Developmental Biology (55 citations), Computational Theory and Mathematics (236 citations), Artificial Intelligence (412 citations), Environmental Engineering (73 citations) and Computer Science Applications (27 citations). James Montgomery has collaborated with scholars based in Australia, Canada and Cuba. Frequent co-authors include Stephen Chen, Antonio Bolufé-Röhler, Saurabh Garg, Marcus Randall, Tim Hendtlass, Erfan Aghasian, Longxiang Gao, Andrew Lewis, Sudheer Kumar Battula and Shui Yu. Their work appears in journals such as IEEE Access, PLoS ONE, Water Resources Management, Applied Intelligence and IEEE Intelligent Systems.
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.