Philipp M. Scholl

15 papers and 85 indexed citations i.

About

Philipp M. Scholl is a scholar working on Computer Vision and Pattern Recognition, Transportation and Artificial Intelligence. According to data from OpenAlex, Philipp M. Scholl has authored 15 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Transportation and 3 papers in Artificial Intelligence. Recurrent topics in Philipp M. Scholl’s work include Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Philipp M. Scholl is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Philipp M. Scholl collaborates with scholars based in Germany, Japan and North Macedonia. Philipp M. Scholl's co-authors include Kristof Van Laerhoven, Chaithanya Kumar Mummadi, Silvia Santini, Bernd Becker, Marcel Miché, Roselind Lieb, Karina Wahl, Kei Hiroi, Pekka Siirtola and Paula Lago and has published in prestigious journals such as Energies, Computers in Biology and Medicine and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Co-authorship network of co-authors of Philipp M. Scholl i

Fields of papers citing papers by Philipp M. Scholl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp M. Scholl

Since Specialization
Citations

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