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
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
Papers in
-
- Computational Physics and Python Applications 2
- Explainable Artificial Intelligence (XAI) 2
-
- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Jochen Garcke (5 shared papers)Marco F. Duarte (2 shared papers)Ribana Roscher (2 shared papers)Michael Griebel (7 shared papers)Ulf Schepsmeier (1 shared paper)Benjamin Peherstorfer (1 shared paper)Costin Leu (1 shared paper)Christine Herold (1 shared paper)
- Journals
- Lecture notes in computational science and engineering (2 papers)IEEE Access (1 paper)SIAM Journal on Numerical Analysis (1 paper)Human Heredity (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Bastian Bohn
11 papers receiving 765 citations
Bastian Bohn's Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 31
- Artificial Intelligence 291
- Computational Mathematics 5
- Environmental Engineering 70
- Information Systems and Management 29
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 | 665 |
| 2 | 2013 | 47 | |
| 3 | 2020 | 22 | |
| 4 | 2010 | 20 | |
| 5 | 2015 | 11 | |
| 6 | 2012 | 7 | |
| 7 | 2018 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2012 | 2 | |
| 10 | 2017 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2022 | 0 |
About Bastian Bohn
Bastian Bohn is a scholar working on Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics, Computational Mathematics and Information Systems and Management, having authored 12 papers that have together received 782 indexed citations. Recurring topics across this work include Computational Physics and Python Applications (2 papers), Scientific Computing and Data Management (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Tensor decomposition and applications (2 papers), Matrix Theory and Algorithms (2 papers), Model Reduction and Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (291 citations), Computational Mathematics (5 citations), Environmental Engineering (70 citations) and Information Systems and Management (29 citations). Bastian Bohn has collaborated with scholars based in Germany and United States. Frequent co-authors include Jochen Garcke, Marco F. Duarte, Ribana Roscher, Michael Griebel, Ulf Schepsmeier, Benjamin Peherstorfer, Costin Leu, Christine Herold, Thomas Gerstner and Thomas Sander. Their work appears in journals such as Lecture notes in computational science and engineering, IEEE Access, SIAM Journal on Numerical Analysis, Human Heredity and Journal of Computational 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.