Hans H. Diebner
- Public Health, Environmental and Occupational Health top 5%
- Genetics
- Immunology
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Co-authors
- L. MolineauxMartin EichnerGeoffrey M. JefferyKlaus DietzWilliam E. CollinsOtto E. RösslerDetlef SeeseMiguel Ángel Canela
- Topics
- Chaos control and synchronization (7 papers)Nonlinear Dynamics and Pattern Formation (6 papers)Neural Networks and Applications (6 papers)
- Cited by
- Public Health, Environmental and Occupational HealthModeling and SimulationStatistical and Nonlinear Physics
- Journals
- PLoS ONECancer ResearchSensors
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Hans H. Diebner
39 papers receiving 493 citations
Peers
Comparison fields: 5 of 120
- Public Health, Environmental and Occupational Health 289
- Genetics 90
- Immunology 77
- Statistical and Nonlinear Physics 61
- Molecular Biology 49
Countries citing papers authored by Hans H. Diebner
This map shows the geographic impact of Hans H. Diebner'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 Hans H. Diebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans H. Diebner more than expected).
Fields of papers citing papers by Hans H. Diebner
This network shows the impact of papers produced by Hans H. Diebner. 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 Hans H. Diebner. The network helps show where Hans H. Diebner may publish in the future.
Co-authorship network of co-authors of Hans H. Diebner
This figure shows the co-authorship network connecting the top 25 collaborators of Hans H. Diebner. A scholar is included among the top collaborators of Hans H. Diebner 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 Hans H. Diebner. Hans H. Diebner 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 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 130 | |
| 18 | 96 | |
| 19 | 54 | |
| 20 | 1 |
About Hans H. Diebner
Hans H. Diebner is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Applied Microbiology and Biotechnology, having authored 42 papers that have together received 519 indexed citations. Recurring topics across this work include Chaos control and synchronization (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (289 citations), Modeling and Simulation (40 citations) and Statistical and Nonlinear Physics (61 citations). Hans H. Diebner has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include L. Molineaux, Martin Eichner, Geoffrey M. Jeffery, Klaus Dietz, William E. Collins, Otto E. Rössler, Detlef Seese, Miguel Ángel Canela, Sven Sahle and Sebastian Fischer. Their work appears in journals such as PLoS ONE, Cancer Research and Sensors.
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.