Bastian Bohn
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Machine Learning in Healthcare
- Anomaly Detection Techniques and Applications
Papers in
-
- Explainable Artificial Intelligence (XAI) 2
- Computational Physics and Python Applications 1
-
- Model Reduction and Neural Networks 2
- Co-authors
- Jochen Garcke (5 shared papers)Ribana Roscher (2 shared papers)Marco F. Duarte (2 shared papers)Michael Griebel (5 shared papers)Benjamin Peherstorfer (1 shared paper)Ulf Schepsmeier (1 shared paper)Rolf Fimmers (1 shared paper)Tim Becker (1 shared paper)
- Journals
- Journal of Computational Physics (1 paper)SIAM Journal on Numerical Analysis (1 paper)IEEE Access (1 paper)Human Heredity (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Bastian Bohn
7 papers receiving 664 citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 31
- Artificial Intelligence 255
- Environmental Engineering 66
- Information Systems and Management 24
- Signal Processing 34
Countries citing papers authored by Bastian Bohn
This map shows the geographic impact of Bastian Bohn'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 Bastian Bohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bastian Bohn more than expected).
Fields of papers citing papers by Bastian Bohn
This network shows the impact of papers produced by Bastian Bohn. 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 Bastian Bohn. The network helps show where Bastian Bohn may publish in the future.
Co-authors
The 19 scholars most cited alongside Bastian Bohn, 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 | Explainable Machine Learning for Scientific Insights and Discoveries Hit paper breakdown → | 2020 | 590 |
| 2 | 2013 | 42 | |
| 3 | 2010 | 19 | |
| 4 | 2020 | 19 | |
| 5 | 2015 | 11 | |
| 6 | 2024 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2022 | 0 |
About Bastian Bohn
Bastian Bohn is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems and Management, Molecular Biology and Automotive Engineering, having authored 8 papers that have together received 683 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Model Reduction and Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Cell Image Analysis Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (255 citations), Environmental Engineering (66 citations), Information Systems and Management (24 citations) and Signal Processing (34 citations). Bastian Bohn has collaborated with scholars based in Germany and United States. Frequent co-authors include Jochen Garcke, Ribana Roscher, Marco F. Duarte, Michael Griebel, Benjamin Peherstorfer, Ulf Schepsmeier, Rolf Fimmers, Tim Becker, Thomas F. Wienker and Thomas Sander. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis, IEEE Access, Human Heredity and SHILAP Revista de lepidopterología.
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.