Tobias Leemann

2 papers and 302 indexed citations i.

About

Tobias Leemann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Tobias Leemann has authored 2 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Tobias Leemann’s work include Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Statistical and Computational Modeling (1 paper). Tobias Leemann is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Statistical and Computational Modeling (1 paper). Tobias Leemann collaborates with scholars based in Germany and United States. Tobias Leemann's co-authors include Gjergji Kasneci, Martin Pawelczyk, Vadim Borisov, Kathrin Seßler, Johannes Haug, Enkelejda Kasneci, Tina Seidel and Vaibhav Unhelkar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Tobias Leemann i

Fields of papers citing papers by Tobias Leemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tobias Leemann

Since Specialization
Citations

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