Thomas Helmuth
Impact in
- Artificial Intelligence top 2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
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- Teaching and Learning Programming
Papers in
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- Evolutionary Algorithms and Applications 43
- Metaheuristic Optimization Algorithms Research 37
- Reinforcement Learning in Robotics 5
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- Viral Infectious Diseases and Gene Expression in Insects 10
- CRISPR and Genetic Engineering 6
- Co-authors
- Lee Spector (35 shared papers)Nicholas Freitag McPhee (10 shared papers)James Matheson (1 shared paper)Peter Kelly (2 shared papers)William La Cava (4 shared papers)Jason H. Moore (2 shared papers)Kyle Harrington (3 shared papers)Brian Martin (2 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (2 papers)Evolutionary Computation (2 papers)IEEE Transactions on Evolutionary Computation (1 paper)Scholarworks (University of Massachusetts Amherst) (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference (7 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Thomas Helmuth
42 papers receiving 547 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 529
- Computer Science Applications 85
- Software 56
- Computational Theory and Mathematics 45
- Molecular Biology 186
Countries citing papers authored by Thomas Helmuth
This map shows the geographic impact of Thomas Helmuth'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 Thomas Helmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Helmuth more than expected).
Fields of papers citing papers by Thomas Helmuth
This network shows the impact of papers produced by Thomas Helmuth. 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 Thomas Helmuth. The network helps show where Thomas Helmuth may publish in the future.
Co-authors
The 17 scholars most cited alongside Thomas Helmuth, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 99 | |
| 2 | 2015 | 82 | |
| 3 | 2018 | 40 | |
| 4 | 2017 | 31 | |
| 5 | 2018 | 30 | |
| 6 | 2021 | 23 | |
| 7 | 2015 | 20 | |
| 8 | 2011 | 20 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2016 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2019 | 10 | |
| 16 | 2012 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2020 | 9 |
About Thomas Helmuth
Thomas Helmuth is a scholar working on Artificial Intelligence, Molecular Biology, Computer Science Applications, Genetics and Software, having authored 44 papers that have together received 569 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (43 papers), Metaheuristic Optimization Algorithms Research (37 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Teaching and Learning Programming (8 papers), Evolution and Genetic Dynamics (7 papers), CRISPR and Genetic Engineering (6 papers), Reinforcement Learning in Robotics (5 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (529 citations), Computer Science Applications (85 citations), Software (56 citations), Computational Theory and Mathematics (45 citations) and Molecular Biology (186 citations). Thomas Helmuth has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Lee Spector, Nicholas Freitag McPhee, James Matheson, Peter Kelly, William La Cava, Jason H. Moore, Kyle Harrington, Brian Martin, Paweł Liskowski and Krzysztof Krawiec. Their work appears in journals such as Genetic Programming and Evolvable Machines, Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Scholarworks (University of Massachusetts Amherst) and Proceedings of the Genetic and Evolutionary Computation Conference.
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.