Michael Hanselmann
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Structural Biology top 10%
Papers in
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- Anomaly Detection Techniques and Applications 2
-
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Fred A. Hamprecht (7 shared papers)Ron M. A. Heeren (5 shared papers)Rainer Stiefelhagen (1 shared paper)Philip Schmidt (1 shared paper)Attila Reiss (1 shared paper)Robert Dürichen (1 shared paper)Bernhard Y. Renard (5 shared papers)Marc Kirchner (4 shared papers)
- Journals
- Analytical Chemistry (2 papers)Cardiovascular Diabetology (1 paper)Nano Letters (1 paper)Advances in cancer research (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Michael Hanselmann
14 papers receiving 656 citations
Peers
Comparison fields: 5 of 103
- Spectroscopy 164
- Structural Biology 14
- Computer Vision and Pattern Recognition 178
- Polymers and Plastics 84
- Analytical Chemistry 37
Countries citing papers authored by Michael Hanselmann
This map shows the geographic impact of Michael Hanselmann'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 Michael Hanselmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hanselmann more than expected).
Fields of papers citing papers by Michael Hanselmann
This network shows the impact of papers produced by Michael Hanselmann. 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 Michael Hanselmann. The network helps show where Michael Hanselmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Hanselmann, 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 | 2017 | 196 | |
| 2 | 2011 | 141 | |
| 3 | 2008 | 106 | |
| 4 | 2009 | 85 | |
| 5 | Conditional Flow Variational Autoencoders for Structured Sequence Prediction | 2019 | 35 |
| 6 | 2011 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2012 | 23 | |
| 9 | 2012 | 8 | |
| 10 | 2025 | 5 | |
| 11 | 2024 | 4 | |
| 12 | A Tableaux-based Mobile DL Reasoner - An Experience Report. | 2006 | 3 |
| 13 | Fast greedy insertion and deletion in sparse Gaussian process regression. | 2015 | 2 |
| 14 | 2009 | 1 |
About Michael Hanselmann
Michael Hanselmann is a scholar working on Artificial Intelligence, Spectroscopy, Analytical Chemistry, Computational Theory and Mathematics and Software, having authored 14 papers that have together received 667 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (4 papers), Spectroscopy and Chemometric Analyses (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Anomaly Detection Techniques and Applications (2 papers), Hydrocarbon exploration and reservoir analysis (1 paper), Cancer Genomics and Diagnostics (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Organic Electronics and Photovoltaics (1 paper). The work is most often cited by research in Spectroscopy (164 citations), Structural Biology (14 citations), Computer Vision and Pattern Recognition (178 citations), Polymers and Plastics (84 citations) and Analytical Chemistry (37 citations). Michael Hanselmann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Fred A. Hamprecht, Ron M. A. Heeren, Rainer Stiefelhagen, Philip Schmidt, Attila Reiss, Robert Dürichen, Bernhard Y. Renard, Marc Kirchner, Kristine Glunde and Erika R. Amstalden. Their work appears in journals such as Analytical Chemistry, Cardiovascular Diabetology, Nano Letters, Advances in cancer research and PLoS ONE.
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.