Kai Kohlhoff
Impact in
- Human-Computer Interaction top 5%
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
Papers in ⓘ
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- Protein Structure and Dynamics 5
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- Visual Attention and Saliency Detection 3
- Co-authors
- Michele Vendruscolo (8 shared papers)Andrea Cavalli (2 shared papers)Paul Robustelli (2 shared papers)Russ B. Altman (3 shared papers)Vijay S. Pande (3 shared papers)David E. Konerding (2 shared papers)Xavier Salvatella (1 shared paper)Morgan Lawrenz (1 shared paper)
- Journals
- Biophysical Journal (2 papers)IEEE Internet Computing (1 paper)Nature Chemistry (1 paper)Autism Research (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kai Kohlhoff
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Human-Computer Interaction 116
- Spectroscopy 227
- Molecular Biology 758
- Control and Systems Engineering 221
- Computational Theory and Mathematics 130
Countries citing papers authored by Kai Kohlhoff
This map shows the geographic impact of Kai Kohlhoff'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 Kai Kohlhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Kohlhoff more than expected).
Fields of papers citing papers by Kai Kohlhoff
This network shows the impact of papers produced by Kai Kohlhoff. 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 Kai Kohlhoff. The network helps show where Kai Kohlhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Kohlhoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 330 | |
| 2 | 2016 | 222 | |
| 3 | 2009 | 203 | |
| 4 | 2020 | 133 | |
| 5 | 2010 | 121 | |
| 6 | 2006 | 51 | |
| 7 | 2022 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2011 | 32 | |
| 10 | 2011 | 29 | |
| 11 | 2012 | 23 | |
| 12 | 2024 | 18 | |
| 13 | 2011 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 1 |
About Kai Kohlhoff
Kai Kohlhoff is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Spectroscopy and Artificial Intelligence, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), Gaze Tracking and Assistive Technology (3 papers), Molecular spectroscopy and chirality (3 papers), Visual Attention and Saliency Detection (3 papers), Robot Manipulation and Learning (2 papers), Scientific Computing and Data Management (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Human-Computer Interaction (116 citations), Spectroscopy (227 citations), Molecular Biology (758 citations), Control and Systems Engineering (221 citations) and Computational Theory and Mathematics (130 citations). Kai Kohlhoff has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michele Vendruscolo, Andrea Cavalli, Paul Robustelli, Russ B. Altman, Vijay S. Pande, David E. Konerding, Xavier Salvatella, Morgan Lawrenz, Gregory R. Bowman and Diwakar Shukla. Their work appears in journals such as Biophysical Journal, IEEE Internet Computing, Nature Chemistry, Autism Research and Journal of the American Chemical Society.
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.