Heinz Koeppl
- Molecular Biology top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Biophysics top 2%
- Biomedical Engineering
- Co-authors
- Christoph ZechnerMatthias PeterSerge PeletMichael KlannMarc HafnerM. UngerPeter SingerlJohn Lygeros
- Topics
- Gene Regulatory Network Analysis (55 papers)Microbial Metabolic Engineering and Bioproduction (13 papers)Control Systems and Identification (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchThe Journal of Chemical Physics
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Heinz Koeppl
138 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 884
- Computer Networks and Communications 163
- Electrical and Electronic Engineering 150
- Biophysics 146
- Biomedical Engineering 144
Countries citing papers authored by Heinz Koeppl
This map shows the geographic impact of Heinz Koeppl'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 Heinz Koeppl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz Koeppl more than expected).
Fields of papers citing papers by Heinz Koeppl
This network shows the impact of papers produced by Heinz Koeppl. 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 Heinz Koeppl. The network helps show where Heinz Koeppl may publish in the future.
Co-authorship network of co-authors of Heinz Koeppl
This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Koeppl. A scholar is included among the top collaborators of Heinz Koeppl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heinz Koeppl. Heinz Koeppl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | Inverse Reinforcement Learning via Nonparametric Subgoal Modeling | 3 |
| 9 | 3 | |
| 10 | 15 | |
| 11 | A variational approach to path estimation and parameter inference of hidden diffusion processes | 2 |
| 12 | 40 | |
| 13 | 22 | |
| 14 | 55 | |
| 15 | 29 | |
| 16 | 32 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Behavioral Modeling of Time-Interleaved ADCs using MATLAB | 6 |
About Heinz Koeppl
Heinz Koeppl is a scholar working on Biophysics, Computational Mathematics and Statistical and Nonlinear Physics, having authored 149 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (55 papers), Microbial Metabolic Engineering and Bioproduction (13 papers) and Control Systems and Identification (11 papers). The work is most often cited by research in Biophysics (146 citations), Molecular Biology (884 citations) and Computational Mathematics (7 citations). Heinz Koeppl has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Christoph Zechner, Matthias Peter, Serge Pelet, Michael Klann, Marc Hafner, M. Unger, Peter Singerl, John Lygeros, Jakob Ruess and Peter W. Krenn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Chemical Physics.
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.