Philipp Benz

14 papers and 373 indexed citations i.

About

Philipp Benz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Philipp Benz has authored 14 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Philipp Benz’s work include Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (5 papers) and Biological Agents for Bioterrorism (4 papers). Philipp Benz is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (5 papers) and Biological Agents for Bioterrorism (4 papers). Philipp Benz collaborates with scholars based in South Korea, United States and Canada. Philipp Benz's co-authors include Chaoning Zhang, In So Kweon, Adil Karjauv, Seokju Lee, Geng Sun, Junsik Kim, Jean‐Charles Bazin, François Rameau, In-So Kweon and Sanghyun Woo and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Philipp Benz i

Fields of papers citing papers by Philipp Benz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Benz. 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 Philipp Benz. The network helps show where Philipp Benz may publish in the future.

Countries citing papers authored by Philipp Benz

Since Specialization
Citations

This map shows the geographic impact of Philipp Benz'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 Philipp Benz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Benz 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.

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