Frank Moosmann
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- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 2
- Geology top 2%
- Instrumentation top 5%
- Advanced Optical Sensing Technologies 3
- Aerospace Engineering top 1%
- Robotics and Sensor-Based Localization 9
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 4
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- Autonomous Vehicle Technology and Safety 4
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- Vehicular Ad Hoc Networks (VANETs) 2
- Co-authors
- Christoph StillerAndreas GeigerOliver PinkFrédéric JurieÉric NowakMartin RöserHolger RappBenjamin Ranft
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (3 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Frank Moosmann
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 961
- Geology 234
- Instrumentation 132
- Aerospace Engineering 717
- Environmental Engineering 366
Countries citing papers authored by Frank Moosmann
This map shows the geographic impact of Frank Moosmann'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 Frank Moosmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Moosmann more than expected).
Fields of papers citing papers by Frank Moosmann
This network shows the impact of papers produced by Frank Moosmann. 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 Frank Moosmann. The network helps show where Frank Moosmann may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Frank Moosmann, 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 | 2021 | 55 | |
| 2 | 2019 | 7 | |
| 3 | 2013 | 11 | |
| 4 | 2013 | 73 | |
| 5 | Automatic camera and range sensor calibration using a single shotbreakdown → | 2012 | 455 |
| 6 | 2012 | 145 | |
| 7 | 2011 | 172 | |
| 8 | 2011 | 5 | |
| 9 | 2010 | 36 | |
| 10 | 2009 | 219 | |
| 11 | 2009 | 37 | |
| 12 | 2008 | 201 | |
| 13 | 2008 | 88 | |
| 14 | 2007 | 8 |
About Frank Moosmann
Frank Moosmann is a scholar working on Instrumentation, Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering and Environmental Engineering, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced Optical Sensing Technologies (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (961 citations), Geology (234 citations), Instrumentation (132 citations), Aerospace Engineering (717 citations) and Environmental Engineering (366 citations). Frank Moosmann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Christoph Stiller, Andreas Geiger, Oliver Pink, Frédéric Jurie, Éric Nowak, Martin Röser, Holger Rapp, Benjamin Ranft, Martin Lauer and Julius Ziegler. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Repository KITopen (Karlsruhe Institute of Technology), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.