Jörg H. Siekmann

31 papers and 363 indexed citations i.

About

Jörg H. Siekmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Jörg H. Siekmann has authored 31 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Jörg H. Siekmann’s work include Logic, programming, and type systems (13 papers), Logic, Reasoning, and Knowledge (10 papers) and Semantic Web and Ontologies (4 papers). Jörg H. Siekmann is often cited by papers focused on Logic, programming, and type systems (13 papers), Logic, Reasoning, and Knowledge (10 papers) and Semantic Web and Ontologies (4 papers). Jörg H. Siekmann collaborates with scholars based in Germany, Canada and United States. Jörg H. Siekmann's co-authors include Ryszard Tadeusiewicz, Leszek Rutkowski, Lotfi A. Zadeh, Erica Melis⋆, Christoph Benzmüller, Peter H. Schmitt, Christoph Beierle, Serge Autexier, Randy Goebel and Anca Ralescu and has published in prestigious journals such as Artificial Intelligence, Journal of the ACM and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Jörg H. Siekmann i

Fields of papers citing papers by Jörg H. Siekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörg H. Siekmann. 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 Jörg H. Siekmann. The network helps show where Jörg H. Siekmann may publish in the future.

Countries citing papers authored by Jörg H. Siekmann

Since Specialization
Citations

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