Andreas Geiger
- Computer Vision and Pattern Recognition top 0.01%
- Advanced Vision and Imaging 62
- Video Surveillance and Tracking Methods 19
- Advanced Neural Network Applications 19
- Geology top 0.01%
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- Computer Graphics and Visualization Techniques 22
- Aerospace Engineering top 0.01%
- Robotics and Sensor-Based Localization 39
- Automotive Engineering top 0.05%
- Autonomous Vehicle Technology and Safety 13
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- 3D Shape Modeling and Analysis 20
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- Remote Sensing and LiDAR Applications 13
- Co-authors
- P LenzChristoph StillerRaquel UrtasunPhilip LenzAli Osman UlusoyGernot RieglerJulius ZieglerYiyi Liao
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)ACM Transactions on Graphics (4 papers)International Journal of Computer Vision (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Andreas Geiger
127 papers receiving 25.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 19.8k
- Geology 3.3k
- Computer Graphics and Computer-Aided Design 1.9k
- Aerospace Engineering 9.2k
- Automotive Engineering 3.6k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 35 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 52 | |
| 4 | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputsbreakdown → | 2022 | 284 |
| 5 | 2021 | 131 | |
| 6 | 2021 | 59 | |
| 7 | 2021 | 34 | |
| 8 | Counterfactual Generative Networks | 2021 | 4 |
| 9 | 2021 | 132 | |
| 10 | Computer Vision for Autonomous Vehiclesbreakdown → | 2020 | 341 |
| 11 | GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis | 2020 | 23 |
| 12 | 2020 | 66 | |
| 13 | 2019 | 48 | |
| 14 | PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds. | 2018 | 6 |
| 15 | OctNet: Learning Deep 3D Representations at High Resolutionsbreakdown → | 2017 | 987 |
| 16 | 2017 | 20 | |
| 17 | Joint 3D Estimation of Objects and Scene Layout | 2011 | 69 |
| 18 | 2009 | 0 | |
| 19 | EU-Lobbying und Demokratieprinzip | 2008 | 1 |
| 20 | CAD/CAM integrated building prefabrication based on a product data model | 2006 | 1 |
About Andreas Geiger
Andreas Geiger is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 135 papers that have together received 26.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (62 papers), Robotics and Sensor-Based Localization (39 papers), Computer Graphics and Visualization Techniques (22 papers), 3D Shape Modeling and Analysis (20 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Neural Network Applications (19 papers), Remote Sensing and LiDAR Applications (13 papers) and Autonomous Vehicle Technology and Safety (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (19.8k citations), Geology (3.3k citations) and Computer Graphics and Computer-Aided Design (1.9k citations). Andreas Geiger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include P Lenz, Christoph Stiller, Raquel Urtasun, Philip Lenz, Ali Osman Ulusoy, Gernot Riegler, Julius Ziegler, Yiyi Liao, Torsten Sattler and Fatma Güney. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics, International Journal of Computer Vision, IEEE Transactions on Image Processing and IEEE Transactions on Intelligent Transportation Systems.
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.