Michael Conrad
Impact in
- Astronomy and Astrophysics top 5%
- Origins and Evolution of Life
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
Papers in
-
- Gene Regulatory Network Analysis 21
-
- Evolutionary Algorithms and Applications 36
- Neural Networks and Applications 31
- Co-authors
- S. J. Singer (2 shared papers)Peter Calow (1 shared paper)Klaus‐Peter Zauner (14 shared papers)Mateen M. Rizki (5 shared papers)Jong‐Chen Chen (5 shared papers)Petr Jarolı́m (15 shared papers)H. H. Pattee (1 shared paper)E.A. Liberman (3 shared papers)
- Journals
- Biosystems (38 papers)Bulletin of Mathematical Biology (11 papers)Journal of Theoretical Biology (11 papers)Chaos Solitons & Fractals (6 papers)Applied Mathematics and Computation (4 papers)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Michael Conrad
216 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 192
- Astronomy and Astrophysics 651
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 533
- Cognitive Neuroscience 456
- Statistical and Nonlinear Physics 288
Countries citing papers authored by Michael Conrad
This map shows the geographic impact of Michael Conrad'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 Michael Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conrad more than expected).
Fields of papers citing papers by Michael Conrad
This network shows the impact of papers produced by Michael Conrad. 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 Michael Conrad. The network helps show where Michael Conrad may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Conrad, 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 263 | |
| 2 | 1987 | 257 | |
| 3 | 1984 | 165 | |
| 4 | 1990 | 155 | |
| 5 | 1981 | 140 | |
| 6 | 1985 | 136 | |
| 7 | 1990 | 100 | |
| 8 | 1974 | 98 | |
| 9 | 1983 | 97 | |
| 10 | 1974 | 82 | |
| 11 | 1970 | 80 | |
| 12 | 1992 | 69 | |
| 13 | 1979 | 69 | |
| 14 | 1996 | 66 | |
| 15 | 1972 | 64 | |
| 16 | 1983 | 63 | |
| 17 | 1994 | 59 | |
| 18 | 1979 | 58 | |
| 19 | 1979 | 51 | |
| 20 | 1992 | 51 |
About Michael Conrad
Michael Conrad is a scholar working on Molecular Biology, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Sociology and Political Science, having authored 229 papers that have together received 4.6k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (36 papers), Neural Networks and Applications (31 papers), Gene Regulatory Network Analysis (21 papers), Evolutionary Game Theory and Cooperation (20 papers), Neural dynamics and brain function (19 papers), Quantum Mechanics and Applications (18 papers), Evolution and Genetic Dynamics (18 papers) and Origins and Evolution of Life (18 papers). The work is most often cited by research in Astronomy and Astrophysics (651 citations), Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (533 citations), Cognitive Neuroscience (456 citations) and Statistical and Nonlinear Physics (288 citations). Michael Conrad has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include S. J. Singer, Peter Calow, Klaus‐Peter Zauner, Mateen M. Rizki, Jong‐Chen Chen, Petr Jarolı́m, H. H. Pattee, E.A. Liberman, Kevin G. Kirby and Mario Dal Cin. Their work appears in journals such as Biosystems, Bulletin of Mathematical Biology, Journal of Theoretical Biology, Chaos Solitons & Fractals and Applied Mathematics and Computation.
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.