Kai Kohlhoff
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- DNA and Nucleic Acid Chemistry
Papers in
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- Visual Attention and Saliency Detection 3
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- Parallel Computing and Optimization Techniques 2
- Co-authors
- Michele Vendruscolo (8 shared papers)Paul Robustelli (2 shared papers)Andrea Cavalli (2 shared papers)Russ Biagio Altman (3 shared papers)Vijay S. Pande (3 shared papers)David E. Konerding (2 shared papers)Morgan Lawrenz (1 shared paper)Gregory R. Bowman (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Nature Chemistry (1 paper)Integrative Biology (1 paper)Nature Communications (1 paper)ACS Chemical Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kai Kohlhoff
22 papers receiving 1.5k citations
Kai Kohlhoff's Hit Papers
Peers
Comparison fields: 5 of 103
- Human-Computer Interaction 102
- Molecular Biology 716
- Control and Systems Engineering 257
- Spectroscopy 132
- Hardware and Architecture 39
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 360 | |
| 2 | Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards Hit paper breakdown → | 2016 | 270 |
| 3 | 2009 | 217 | |
| 4 | 2020 | 171 | |
| 5 | 2010 | 132 | |
| 6 | 2006 | 53 | |
| 7 | 2021 | 45 | |
| 8 | 2022 | 39 | |
| 9 | 2024 | 38 | |
| 10 | 2011 | 37 | |
| 11 | 2011 | 29 | |
| 12 | 2012 | 24 | |
| 13 | 2012 | 20 | |
| 14 | 2011 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2019 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 3 |
About Kai Kohlhoff
Kai Kohlhoff is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Visual Attention and Saliency Detection (3 papers), Cloud Computing and Resource Management (2 papers), Parallel Computing and Optimization Techniques (2 papers), Neurobiology and Insect Physiology Research (2 papers), Alzheimer's disease research and treatments (2 papers), Robot Manipulation and Learning (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Human-Computer Interaction (102 citations), Molecular Biology (716 citations), Control and Systems Engineering (257 citations), Spectroscopy (132 citations) and Hardware and Architecture (39 citations). Kai Kohlhoff has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michele Vendruscolo, Paul Robustelli, Andrea Cavalli, Russ Biagio Altman, Vijay S. Pande, David E. Konerding, Morgan Lawrenz, Gregory R. Bowman, Dan Belov and Diwakar Shukla. Their work appears in journals such as Biophysical Journal, Nature Chemistry, Integrative Biology, Nature Communications and ACS Chemical Neuroscience.
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.