Jörg Siekmann

24 papers and 355 indexed citations i.

About

Jörg Siekmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Strategy and Management. According to data from OpenAlex, Jörg Siekmann has authored 24 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Strategy and Management. Recurrent topics in Jörg Siekmann’s work include Semantic Web and Ontologies (3 papers), Logic, Reasoning, and Knowledge (1 paper) and Data Management and Algorithms (1 paper). Jörg Siekmann is often cited by papers focused on Semantic Web and Ontologies (3 papers), Logic, Reasoning, and Knowledge (1 paper) and Data Management and Algorithms (1 paper). Jörg Siekmann collaborates with scholars based in Germany, United States and Canada. Jörg Siekmann's co-authors include Jaime Carbonell, Christian Müller, Jaime G. Carbonell, Wolfgang Wahlster, Grigori Sidorov, Ildar Batyrshin, Asunción Gómez‐Pérez, V. Richard Benjamins, Juan Carlos Augusto and Chris Nugent and has published in prestigious journals such as Lecture notes in computer science, Formal Aspects of Computing and International Joint Conference on Artificial Intelligence.

In The Last Decade

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

Fields of papers citing papers by Jörg Siekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jörg Siekmann

Since Specialization
Citations

This map shows the geographic impact of Jörg 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 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 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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