Mathias Niepert

About

Mathias Niepert is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mathias Niepert has authored 47 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mathias Niepert’s work include Bayesian Modeling and Causal Inference (16 papers), Topic Modeling (15 papers) and Advanced Graph Neural Networks (11 papers). Mathias Niepert is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Topic Modeling (15 papers) and Advanced Graph Neural Networks (11 papers). Mathias Niepert collaborates with scholars based in United States, Germany and Belgium. Mathias Niepert's co-authors include Alberto García-Durán, Sebastijan Dumančić, Heiner Stuckenschmidt, Hui Li, Jan Noessner, Guy Van den Broeck, Marc Gyssens, Dirk Van Gucht, Christian Meilicke and Carolin Lawrence and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Mathias Niepert i

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Fields of papers citing papers by Mathias Niepert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mathias Niepert

Since Specialization

Citations

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