Marco Kuhlmann

34 papers and 493 indexed citations i.

About

Marco Kuhlmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Marco Kuhlmann has authored 34 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Marco Kuhlmann’s work include Natural Language Processing Techniques (30 papers), Topic Modeling (17 papers) and semigroups and automata theory (12 papers). Marco Kuhlmann is often cited by papers focused on Natural Language Processing Techniques (30 papers), Topic Modeling (17 papers) and semigroups and automata theory (12 papers). Marco Kuhlmann collaborates with scholars based in Sweden, Italy and Germany. Marco Kuhlmann's co-authors include Stephan Oepen, Giorgio Satta, Dan Flickinger, Daniel Zeman, Yusuke Miyao, Carlos Gómez‐Rodríguez, Zdeňka Urešová, Jan Hajič, Silvie Cinková and Yi Zhang and has published in prestigious journals such as Journal of Computer and System Sciences, Lecture notes in computer science and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Marco Kuhlmann i

Fields of papers citing papers by Marco Kuhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Kuhlmann

Since Specialization
Citations

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