Andreas Geiger
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Vision and Imaging 77
- Video Surveillance and Tracking Methods 20
- Advanced Neural Network Applications 19
-
- Robotics and Sensor-Based Localization 45
- Co-authors
- P Lenz (1 shared paper)Raquel Urtasun (11 shared papers)Christoph Stiller (7 shared papers)Philip Lenz (3 shared papers)Ali Osman Ulusoy (6 shared papers)Gernot Riegler (4 shared papers)Julius Ziegler (3 shared papers)Martin Röser (5 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)ACM Transactions on Graphics (4 papers)Lecture notes in computer science (20 papers)International Journal of Computer Vision (2 papers)Zeitschrift für wirtschaftlichen Fabrikbetrieb (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Andreas Geiger
159 papers receiving 31.2k citations
Andreas Geiger's Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 24.5k
- Computer Graphics and Computer-Aided Design 3.0k
- Geology 3.8k
- Aerospace Engineering 10.7k
- Automotive Engineering 4.1k
Countries citing papers authored by Andreas Geiger
This map shows the geographic impact of Andreas Geiger'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 Andreas Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Geiger more than expected).
Fields of papers citing papers by Andreas Geiger
This network shows the impact of papers produced by Andreas Geiger. 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 Andreas Geiger. The network helps show where Andreas Geiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Geiger, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Are we ready for autonomous driving? The KITTI vision benchmark suite Hit paper breakdown → | 2012 | 9592 |
| 2 | Vision meets robotics: The KITTI dataset Hit paper breakdown → | 2013 | 6469 |
| 3 | Object scene flow for autonomous vehicles Hit paper breakdown → | 2015 | 1500 |
| 4 | OctNet: Learning Deep 3D Representations at High Resolutions Hit paper breakdown → | 2017 | 1099 |
| 5 | StereoScan: Dense 3d reconstruction in real-time Hit paper breakdown → | 2011 | 818 |
| 6 | TensoRF: Tensorial Radiance Fields Hit paper breakdown → | 2022 | 745 |
| 7 | Efficient Large-Scale Stereo Matching Hit paper breakdown → | 2011 | 580 |
| 8 | Convolutional Occupancy Networks Hit paper breakdown → | 2020 | 571 |
| 9 | A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos Hit paper breakdown → | 2017 | 563 |
| 10 | A new performance measure and evaluation benchmark for road detection algorithms Hit paper breakdown → | 2013 | 497 |
| 11 | Automatic camera and range sensor calibration using a single shot Hit paper breakdown → | 2012 | 492 |
| 12 | KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D Hit paper breakdown → | 2022 | 431 |
| 13 | Computer Vision for Autonomous Vehicles Hit paper breakdown → | 2020 | 388 |
| 14 | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Hit paper breakdown → | 2022 | 362 |
| 15 | Visual odometry based on stereo image sequences with RANSAC-based outlier rejection scheme Hit paper breakdown → | 2010 | 310 |
| 16 | 2013 | 308 | |
| 17 | Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes Hit paper breakdown → | 2018 | 298 |
| 18 | Computer Vision and Pattern Recognition 2020 Hit paper breakdown → | 2021 | 245 |
| 19 | 2018 | 239 | |
| 20 | 2015 | 223 |
About Andreas Geiger
Andreas Geiger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computational Mechanics and Automotive Engineering, having authored 167 papers that have together received 32.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (77 papers), Robotics and Sensor-Based Localization (45 papers), Computer Graphics and Visualization Techniques (28 papers), 3D Shape Modeling and Analysis (24 papers), Video Surveillance and Tracking Methods (20 papers), Advanced Neural Network Applications (19 papers), Autonomous Vehicle Technology and Safety (15 papers) and Remote Sensing and LiDAR Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (24.5k citations), Computer Graphics and Computer-Aided Design (3.0k citations), Geology (3.8k citations), Aerospace Engineering (10.7k citations) and Automotive Engineering (4.1k citations). Andreas Geiger has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include P Lenz, Raquel Urtasun, Christoph Stiller, Philip Lenz, Ali Osman Ulusoy, Gernot Riegler, Julius Ziegler, Martin Röser, Lars Mescheder and Yiyi Liao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, Lecture notes in computer science, International Journal of Computer Vision and Zeitschrift für wirtschaftlichen Fabrikbetrieb.
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.