Daniel Bär

About

Daniel Bär is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel Bär has authored 10 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel Bär’s work include Topic Modeling (5 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Natural Language Processing Techniques (3 papers). Daniel Bär is often cited by papers focused on Topic Modeling (5 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Natural Language Processing Techniques (3 papers). Daniel Bär collaborates with scholars based in Germany, Israel and Australia. Daniel Bär's co-authors include Torsten Zesch, Iryna Gurevych, Chris Biemann, Rachpon Kalra, Juha T. Muhonen, Arne Laucht, Andrea Morello, Juan Pablo Dehollain, Stephanie Simmons and Solomon Freer and has published in prestigious journals such as Review of Scientific Instruments, International Journal of Theoretical Physics and NeuroQuantology.

In The Last Decade

Co-authorship network of co-authors of Daniel Bär i

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Fields of papers citing papers by Daniel Bär

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Bär

Since Specialization

Citations

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