Jörg H. Siekmann
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Information Systems
- Software top 10%
- Co-authors
- Franz BaaderErica Melis⋆Lotfi A. ZadehLeszek RutkowskiChristoph BenzmüllerChristoph BeierlePeter H. SchmittSerge Autexier
- Topics
- Logic, programming, and type systems (15 papers)Logic, Reasoning, and Knowledge (10 papers)semigroups and automata theory (5 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Jörg H. Siekmann
36 papers receiving 504 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 484
- Computational Theory and Mathematics 311
- Computer Networks and Communications 84
- Information Systems 33
- Software 32
Countries citing papers authored by Jörg H. Siekmann
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).
Fields of papers citing papers by Jörg H. Siekmann
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.
Co-authorship network of co-authors of Jörg H. Siekmann
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg H. Siekmann. A scholar is included among the top collaborators of Jörg H. Siekmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jörg H. Siekmann. Jörg H. Siekmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Resource-Bounded Modelling and Analysis of Human-Level Interactive Proofs. | 0 |
| 2 | 4 | |
| 3 | 25 | |
| 4 | Holonic Multiagent Systems: A Foundation for the Organisation of Multiagent Systems | 1 |
| 5 | KI - Die Entwicklung der Disziplin in Deutschland. | 2 |
| 6 | Proof Development with Omega-MEGA: sqrt(2) Is Irrational | 10 |
| 7 | 1 | |
| 8 | 32 | |
| 9 | An Interactive Proof Development Environment + Anticipation = A Mathematical Assistant? | 2 |
| 10 | 2 | |
| 11 | 41 | |
| 12 | 115 | |
| 13 | Abelian semigroups | 5 |
| 14 | Unification theory | 6 |
| 15 | 10 | |
| 16 | Classical papers on computational logic | 1 |
| 17 | 9 | |
| 18 | 60 | |
| 19 | The Markgraf Karl refutation procedure | 13 |
| 20 | Universal unification and regular equational ACFM theories | 2 |
About Jörg H. Siekmann
Jörg H. Siekmann is a scholar working on Computational Theory and Mathematics, Theoretical Computer Science and Artificial Intelligence, having authored 40 papers that have together received 575 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (10 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Computational Theory and Mathematics (311 citations), Artificial Intelligence (484 citations) and Software (32 citations). Jörg H. Siekmann has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Franz Baader, Erica Melis⋆, Lotfi A. Zadeh, Leszek Rutkowski, Christoph Benzmüller, Christoph Beierle, Peter H. Schmitt, Serge Autexier, Hans Jürgen Ohlbach and Andreas Meier. Their work appears in journals such as Artificial Intelligence, Journal of the ACM and Decision Support Systems.
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.