Lars Rosenbaum
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Computational Drug Discovery Methods 10
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- Advanced Neural Network Applications 8
- Co-authors
- Klaus Dietmayer (7 shared papers)Di Feng (7 shared papers)Fabian Timm (6 shared papers)Claudius Gläser (2 shared papers)W. Wiesbeck (1 shared paper)Christian Schütz (1 shared paper)Heinz Hertlein (1 shared paper)Andreas Zell (14 shared papers)
- Journals
- Journal of Cheminformatics (5 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Clinical Chemistry (1 paper)Journal of Chromatography B (1 paper)Diabetes Care (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Lars Rosenbaum
24 papers receiving 1.9k citations
Lars Rosenbaum's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 818
- Automotive Engineering 304
- Instrumentation 56
- Artificial Intelligence 413
- Media Technology 104
Countries citing papers authored by Lars Rosenbaum
This map shows the geographic impact of Lars Rosenbaum'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 Lars Rosenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Rosenbaum more than expected).
Fields of papers citing papers by Lars Rosenbaum
This network shows the impact of papers produced by Lars Rosenbaum. 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 Lars Rosenbaum. The network helps show where Lars Rosenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Rosenbaum, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Hit paper breakdown → | 2020 | 1005 |
| 2 | 2013 | 235 | |
| 3 | 2018 | 195 | |
| 4 | 2013 | 94 | |
| 5 | 2011 | 78 | |
| 6 | 2019 | 64 | |
| 7 | 2011 | 50 | |
| 8 | 2013 | 42 | |
| 9 | 2014 | 40 | |
| 10 | 2011 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2015 | 14 | |
| 15 | 2011 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2010 | 2 |
About Lars Rosenbaum
Lars Rosenbaum is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence and Aerospace Engineering, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Advanced Neural Network Applications (8 papers), Autonomous Vehicle Technology and Safety (5 papers), Machine Learning in Materials Science (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Robotics and Sensor-Based Localization (3 papers), Protein Structure and Dynamics (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (818 citations), Automotive Engineering (304 citations), Instrumentation (56 citations), Artificial Intelligence (413 citations) and Media Technology (104 citations). Lars Rosenbaum has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Klaus Dietmayer, Di Feng, Fabian Timm, Claudius Gläser, W. Wiesbeck, Christian Schütz, Heinz Hertlein, Andreas Zell, Andreas Jahn and Georg Hinselmann. Their work appears in journals such as Journal of Cheminformatics, IEEE Transactions on Intelligent Transportation Systems, Clinical Chemistry, Journal of Chromatography B and Diabetes Care.
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.