Daniel Gehrig

2.3k total citations · 1 hit paper
22 papers, 900 citations indexed

About

Daniel Gehrig is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Daniel Gehrig has authored 22 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Daniel Gehrig's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Neural Network Applications (4 papers). Daniel Gehrig is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Advanced Neural Network Applications (4 papers). Daniel Gehrig collaborates with scholars based in Switzerland, United States and China. Daniel Gehrig's co-authors include Davide Scaramuzza, Henri Rebecq, Guillermo Gallego, Mathias Gehrig, Robert Mahony, Cedric Scheerlinck, Nick Barnes, Javier Hidalgo‐Carrió, Stamatios Georgoulis and Stepan Tulyakov and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Daniel Gehrig

22 papers receiving 863 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Low-latency automotive vision with event cameras

2024 64 citations Daniel Gehrig, Davide Scaramuzza Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Gehrig Switzerland	13	463	364	145	137	132	22	900
Alex Zihao Zhu United States	7	546 1.2×	502 1.4×	344 2.4×	145 1.1×	173 1.3×	13	1.1k
Christian Brändli Switzerland	11	838 1.8×	295 0.8×	185 1.3×	238 1.7×	148 1.1×	14	1.1k
Xavier Lagorce France	10	724 1.6×	231 0.6×	118 0.8×	312 2.3×	154 1.2×	17	919
Minhao Yang Switzerland	18	984 2.1×	251 0.7×	113 0.8×	285 2.1×	307 2.3×	41	1.5k
Elias Mueggler Switzerland	17	739 1.6×	687 1.9×	712 4.9×	157 1.1×	147 1.1×	22	1.5k
Kenneth Chaney United States	7	219 0.5×	235 0.6×	103 0.7×	66 0.5×	80 0.6×	13	482
Lin Zhu China	17	265 0.6×	462 1.3×	79 0.5×	85 0.6×	119 0.9×	78	828
Dongjoo Shin South Korea	17	916 2.0×	642 1.8×	96 0.7×	71 0.5×	339 2.6×	64	1.4k
Jaime Lien United States	9	622 1.3×	180 0.5×	477 3.3×	183 1.3×	144 1.1×	13	1.4k
Henri Rebecq Switzerland	15	1.0k 2.2×	805 2.2×	650 4.5×	251 1.8×	210 1.6×	19	1.8k

Countries citing papers authored by Daniel Gehrig

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Gehrig

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gehrig. A scholar is included among the top collaborators of Daniel Gehrig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Gehrig. Daniel Gehrig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ayyad, Abdulla, et al.. (2024). E-Calib: A Fast, Robust, and Accurate Calibration Toolbox for Event Cameras. IEEE Transactions on Image Processing. 33. 3977–3990. 13 indexed citations

Gehrig, Daniel & Davide Scaramuzza. (2024). Low-latency automotive vision with event cameras. Nature. 629(8014). 1034–1040. 64 indexed citations breakdown →

Sun, Lei, Daniel Gehrig, Christos Sakaridis, et al.. (2024). A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2265–2279. 1 indexed citations

Cannici, Marco, et al.. (2024). Deep Visual Odometry with Events and Frames. 8966–8973. 3 indexed citations

Gehrig, Mathias, et al.. (2024). A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. 5701–5711. 11 indexed citations

Gao, Ling, Daniel Gehrig, Hang Su, Davide Scaramuzza, & Laurent Kneip. (2024). An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. 14596–14605. 5 indexed citations

Gao, Ling, Hang Su, Daniel Gehrig, et al.. (2023). A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. Zurich Open Repository and Archive (University of Zurich). 8015–8025. 8 indexed citations

Gehrig, Daniel, et al.. (2023). From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. Zurich Open Repository and Archive (University of Zurich). 12800–12810. 13 indexed citations

Gehrig, Daniel, et al.. (2022). Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics and Automation Letters. 7(2). 3515–3522. 32 indexed citations

10.

Gehrig, Daniel, et al.. (2022). Exploring Event Camera-Based Odometry for Planetary Robots. IEEE Robotics and Automation Letters. 7(4). 8651–8658. 38 indexed citations

11.

Gehrig, Daniel, et al.. (2022). AEGNN: Asynchronous Event-based Graph Neural Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12361–12371. 76 indexed citations

12.

Tulyakov, Stepan, et al.. (2022). Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17734–17743. 83 indexed citations

13.

Gehrig, Daniel, et al.. (2021). Conjugative plasmid transfer is limited by prophages but can be overcome by high conjugation rates. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1842). 20200470–20200470. 15 indexed citations

14.

Scheerlinck, Cedric, Henri Rebecq, Daniel Gehrig, et al.. (2020). Fast Image Reconstruction with an Event Camera. ANU Open Research (Australian National University). 156–163. 131 indexed citations

15.

Gehrig, Daniel, Mathias Gehrig, Javier Hidalgo‐Carrió, & Davide Scaramuzza. (2019). Video to Events: Bringing Modern Computer Vision Closer to Event Cameras.. arXiv (Cornell University). 6 indexed citations

16.

Gehrig, Daniel, Henri Rebecq, Guillermo Gallego, & Davide Scaramuzza. (2019). EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. International Journal of Computer Vision. 128(3). 601–618. 144 indexed citations

17.

Gehrig, Daniel, Henri Rebecq, Guillermo Gallego, & Davide Scaramuzza. (2019). Correction to: EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames. International Journal of Computer Vision. 128(3). 619–619. 2 indexed citations

18.

Rebecq, Henri, Daniel Gehrig, & Davide Scaramuzza. (2018). ESIM: an Open Event Camera Simulator. Zurich Open Repository and Archive (University of Zurich). 969–982. 131 indexed citations

19.

Gehrig, Daniel, et al.. (2017). Scale-Corrected Monocular-SLAM for the AR.Drone 2.0. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

20.

Weder, H. G., et al.. (1976). An improved method for flow dialysis studies with highly increased diffusion rates. Cellular and Molecular Life Sciences. 32(2). 259–261. 12 indexed citations

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.

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