Christopher Diehl
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Video Surveillance and Tracking Methods 6
- Robotic Path Planning Algorithms 5
- Advanced Vision and Imaging 3
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- Autonomous Vehicle Technology and Safety 4
- Co-authors
- Lise GetoorAmit BanerjeePhilippe BurlinaGert CauwenberghsGalileo NamataJ.B. HampshireCash CostelloPradeep K. Khosla
- Journals
- IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics and Automation (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IFAC-PapersOnLine (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (4 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Christopher Diehl
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Statistical and Nonlinear Physics 430
- Media Technology 264
- Artificial Intelligence 745
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 291
Countries citing papers authored by Christopher Diehl
This map shows the geographic impact of Christopher Diehl'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 Christopher Diehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Diehl more than expected).
Fields of papers citing papers by Christopher Diehl
This network shows the impact of papers produced by Christopher Diehl. 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 Christopher Diehl. The network helps show where Christopher Diehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Diehl, 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 | 2025 | 0 | |
| 2 | 2023 | 19 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2018 | 0 | |
| 7 | 2009 | 1 | |
| 8 | Relationship identification for social network discovery | 2007 | 65 |
| 9 | 2006 | 25 | |
| 10 | 2005 | 28 | |
| 11 | 2005 | 7 | |
| 12 | 2004 | 58 | |
| 13 | 2004 | 4 | |
| 14 | 2004 | 180 | |
| 15 | 2003 | 36 | |
| 16 | 2002 | 32 | |
| 17 | 2002 | 7 | |
| 18 | 2001 | 0 | |
| 19 | 2000 | 5 | |
| 20 | 1999 | 23 |
About Christopher Diehl
Christopher Diehl is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Vision and Imaging (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (430 citations), Media Technology (264 citations), Artificial Intelligence (745 citations), Computational Mathematics (10 citations) and Computer Vision and Pattern Recognition (291 citations). Christopher Diehl has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Lise Getoor, Amit Banerjee, Philippe Burlina, Gert Cauwenberghs, Galileo Namata, J.B. Hampshire, Cash Costello, Pradeep K. Khosla, P.K. Khosla and Torsten Bertram. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics and Automation, IEEE Transactions on Geoscience and Remote Sensing, IFAC-PapersOnLine and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.