Daniel Gehrig
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Acoustics and Ultrasonics top 5%
Papers in
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- Advanced Optical Sensing Technologies 6
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- Advanced Memory and Neural Computing 26
- CCD and CMOS Imaging Sensors 10
- Ferroelectric and Negative Capacitance Devices 9
- Co-authors
- Davide Scaramuzza (36 shared papers)Mathias Gehrig (13 shared papers)Henri Rebecq (4 shared papers)Antonio Loquercio (4 shared papers)Guillermo Gallego (3 shared papers)Konstantinos G. Derpanis (2 shared papers)Nico Messikommer (5 shared papers)Yuanyou Li (5 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)Nature (2 papers)International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Daniel Gehrig
40 papers receiving 2.8k citations
Daniel Gehrig's Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 1.1k
- Acoustics and Ultrasonics 45
- Instrumentation 134
- Electrical and Electronic Engineering 1.3k
- Cognitive Neuroscience 379
Countries citing papers authored by Daniel Gehrig
This map shows the geographic impact of Daniel Gehrig'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 Daniel Gehrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gehrig more than expected).
Fields of papers citing papers by Daniel Gehrig
This network shows the impact of papers produced by Daniel Gehrig. 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 Daniel Gehrig. The network helps show where Daniel Gehrig may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gehrig, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 286 | |
| 2 | DSEC: A Stereo Event Camera Dataset for Driving Scenarios Hit paper breakdown → | 2022 | 268 |
| 3 | Biosynthetic potential of the global ocean microbiome Hit paper breakdown → | 2022 | 238 |
| 4 | 2019 | 182 | |
| 5 | 2021 | 174 | |
| 6 | 2020 | 174 | |
| 7 | 2018 | 164 | |
| 8 | Low-latency automotive vision with event cameras Hit paper breakdown → | 2024 | 125 |
| 9 | 2021 | 122 | |
| 10 | 2018 | 118 | |
| 11 | 2022 | 118 | |
| 12 | 2022 | 116 | |
| 13 | 2020 | 116 | |
| 14 | 2022 | 108 | |
| 15 | 2020 | 93 | |
| 16 | 2022 | 68 | |
| 17 | 2021 | 65 | |
| 18 | 2022 | 56 | |
| 19 | 2022 | 43 | |
| 20 | 2022 | 35 |
About Daniel Gehrig
Daniel Gehrig is a scholar working on Instrumentation, Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 42 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), CCD and CMOS Imaging Sensors (10 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Advanced Neural Network Applications (6 papers), Advanced Optical Sensing Technologies (6 papers), Robotics and Sensor-Based Localization (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Acoustics and Ultrasonics (45 citations), Instrumentation (134 citations), Electrical and Electronic Engineering (1.3k citations) and Cognitive Neuroscience (379 citations). Daniel Gehrig has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Davide Scaramuzza, Mathias Gehrig, Henri Rebecq, Antonio Loquercio, Guillermo Gallego, Konstantinos G. Derpanis, Nico Messikommer, Yuanyou Li, Stepan Tulyakov and Stamatios Georgoulis. Their work appears in journals such as IEEE Robotics and Automation Letters, Nature, International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence and Philosophical Transactions of the Royal Society B Biological Sciences.
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.