F. Hergert
Impact in
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- Plant Pathogens and Fungal Diseases
Papers in
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- Coding theory and cryptography 5
- Neural Networks and Applications 5
- Machine Learning and ELM 2
- Machine Learning and Data Classification 1
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- graph theory and CDMA systems 5
- Co-authors
- Gerhard Gierz (3 shared papers)S. Bartnicki-García (2 shared papers)William Finnoff (5 shared papers)Hans Georg Zimmermann (1 shared paper)Bernhard Ganter (1 shared paper)Heinz Bauer (1 shared paper)Martin Bossert (2 shared papers)Ralph Neuneier (1 shared paper)
- Journals
- Discrete Mathematics (2 papers)PROTOPLASMA (1 paper)Neural Networks (1 paper)COMBINATORICA (1 paper)IEEE Transactions on Information Theory (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
F. Hergert
13 papers receiving 565 citations
Peers
Comparison fields: 5 of 98
- Cell Biology 116
- Discrete Mathematics and Combinatorics 22
- Artificial Intelligence 226
- Plant Science 140
- Molecular Biology 207
Countries citing papers authored by F. Hergert
This map shows the geographic impact of F. Hergert'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 F. Hergert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Hergert more than expected).
Fields of papers citing papers by F. Hergert
This network shows the impact of papers produced by F. Hergert. 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 F. Hergert. The network helps show where F. Hergert may publish in the future.
Co-authors
The 12 scholars most cited alongside F. Hergert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 259 | |
| 2 | 1993 | 182 | |
| 3 | 1983 | 52 | |
| 4 | 1994 | 40 | |
| 5 | 1990 | 33 | |
| 6 | 1986 | 27 | |
| 7 | 1990 | 12 | |
| 8 | 1982 | 8 | |
| 9 | 2003 | 4 | |
| 10 | 1992 | 3 | |
| 11 | 1991 | 2 | |
| 12 | Extended Regularization Methods for Nonconvergent Model Selection | 1992 | 2 |
| 13 | 1986 | 1 | |
| 14 | 1989 | 0 |
About F. Hergert
F. Hergert is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Pharmacology, Computational Theory and Mathematics and Plant Science, having authored 14 papers that have together received 625 indexed citations. Recurring topics across this work include graph theory and CDMA systems (5 papers), Coding theory and cryptography (5 papers), Neural Networks and Applications (5 papers), Fungal Biology and Applications (2 papers), Machine Learning and ELM (2 papers), Control Systems and Identification (2 papers), Machine Learning and Data Classification (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Cell Biology (116 citations), Discrete Mathematics and Combinatorics (22 citations), Artificial Intelligence (226 citations), Plant Science (140 citations) and Molecular Biology (207 citations). F. Hergert has collaborated with scholars based in Germany and United States. Frequent co-authors include Gerhard Gierz, S. Bartnicki-García, William Finnoff, Hans Georg Zimmermann, Bernhard Ganter, Heinz Bauer, Martin Bossert, Ralph Neuneier, Dirk Ormoneit and Ulrike M. Krämer. Their work appears in journals such as Discrete Mathematics, PROTOPLASMA, Neural Networks, COMBINATORICA and IEEE Transactions on Information Theory.
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.