J rg Siekmann

About

J rg Siekmann is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, J rg Siekmann has authored 12 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Computational Theory and Mathematics. Recurrent topics in J rg Siekmann’s work include Distributed Constraint Optimization Problems and Algorithms (1 paper), Computability, Logic, AI Algorithms (1 paper) and Music and Audio Processing (1 paper). J rg Siekmann is often cited by papers focused on Distributed Constraint Optimization Problems and Algorithms (1 paper), Computability, Logic, AI Algorithms (1 paper) and Music and Audio Processing (1 paper). J rg Siekmann collaborates with scholars based in Germany, United States and Czechia. J rg Siekmann's co-authors include Jaime Carbonell, Barry Smyth, Jaime Carbonell, Pádraig Cunningham, Druckhaus Beltz, Jaime Carbonell, Guy W. Mineau, John W. Perram, Bernard Moulin and John F. Sowa and has published in prestigious journals such as Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of J rg Siekmann i

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Fields of papers citing papers by J rg Siekmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by J rg Siekmann

Since Specialization

Citations

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