Christopher Diehl

15 papers and 933 indexed citations i.

About

Christopher Diehl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Christopher Diehl has authored 15 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Christopher Diehl’s work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Christopher Diehl is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Christopher Diehl collaborates with scholars based in United States and Germany. Christopher Diehl's co-authors include Lise Getoor, Amit Banerjee, Philippe Burlina, Gert Cauwenberghs, Galileo Namata, Pradeep K. Khosla, R. Jacob Vogelstein, Kartikeya Murari, Shantanu Chakrabartty and J.B. Hampshire and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Robotics and Automation and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Christopher Diehl i

Fields of papers citing papers by Christopher Diehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Christopher Diehl

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025