Thomas Helmuth
Impact in
- Artificial Intelligence top 2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
-
- Teaching and Learning Programming
Papers in
-
- Evolutionary Algorithms and Applications 59
- Metaheuristic Optimization Algorithms Research 49
- Reinforcement Learning in Robotics 9
-
- Teaching and Learning Programming 9
- Co-authors
- Lee C. Spector (49 shared papers)Nicholas Freitag McPhee (14 shared papers)James E. Matheson (1 shared paper)William La Cava (7 shared papers)Peter Kelly (2 shared papers)Jason H. Moore (2 shared papers)Kyle Harrington (4 shared papers)Brian Martin (3 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (2 papers)Evolutionary Computation (2 papers)Artificial Life (1 paper)IEEE Transactions on Evolutionary Computation (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Thomas Helmuth
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 985
- Computer Science Applications 130
- Software 76
- Molecular Biology 368
- Computational Theory and Mathematics 87
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 19 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 152 | |
| 2 | 2015 | 134 | |
| 3 | 2018 | 70 | |
| 4 | 2018 | 51 | |
| 5 | 2016 | 50 | |
| 6 | 2017 | 47 | |
| 7 | 2021 | 41 | |
| 8 | 2011 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2016 | 27 | |
| 11 | 2015 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2015 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2016 | 14 |
About Thomas Helmuth
Thomas Helmuth is a scholar working on Artificial Intelligence, Computer Science Applications, Molecular Biology, Software and Genetics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (59 papers), Metaheuristic Optimization Algorithms Research (49 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Teaching and Learning Programming (9 papers), Evolution and Genetic Dynamics (9 papers), Reinforcement Learning in Robotics (9 papers), CRISPR and Genetic Engineering (8 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Artificial Intelligence (985 citations), Computer Science Applications (130 citations), Software (76 citations), Molecular Biology (368 citations) and Computational Theory and Mathematics (87 citations). Thomas Helmuth has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Lee C. Spector, Nicholas Freitag McPhee, James E. Matheson, William La Cava, Peter Kelly, 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, Artificial Life, IEEE Transactions on Evolutionary Computation 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.