Philipp Gysel

3 papers and 154 indexed citations i.

About

Philipp Gysel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Philipp Gysel has authored 3 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Philipp Gysel’s work include Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Philipp Gysel is often cited by papers focused on Advanced Neural Network Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Philipp Gysel collaborates with scholars based in United States and Singapore. Philipp Gysel's co-authors include Soheil Ghiasi, Mohammad Motamedi, Jon J. Pimentel, Dinil Mon Divakaran and Mohan Gurusamy and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Multimedia Computing Communications and Applications and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Philipp Gysel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Gysel

Since Specialization
Citations

This map shows the geographic impact of Philipp Gysel'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 Gysel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Gysel 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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2025