Daniel Lehmann

142 papers and 4.3k indexed citations i.

About

Daniel Lehmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Geometry and Topology. According to data from OpenAlex, Daniel Lehmann has authored 142 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 23 papers in Geometry and Topology. Recurrent topics in Daniel Lehmann’s work include Logic, Reasoning, and Knowledge (26 papers), Advanced Algebra and Logic (16 papers) and Homotopy and Cohomology in Algebraic Topology (13 papers). Daniel Lehmann is often cited by papers focused on Logic, Reasoning, and Knowledge (26 papers), Advanced Algebra and Logic (16 papers) and Homotopy and Cohomology in Algebraic Topology (13 papers). Daniel Lehmann collaborates with scholars based in Israel, Germany and France. Daniel Lehmann's co-authors include Menachem Magidor, Jan Lunze, Sarit Kraus, Liadan O'Callaghan, Yoav Shoham, Noam Nisan, Karl Henrik Johansson, Moshe Abeles, Dov M. Gabbay and Dietrich R. T. Zahn and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and The Journal of Physical Chemistry B.

In The Last Decade

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

Fields of papers citing papers by Daniel Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Lehmann

Since Specialization
Citations

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