Ralf Molitor

699 citations
10 papers · 261 · h-index 9

Impact in

Papers in

Ralf Molitor

10 papers receiving 225 citations

Peers

Ralf Molitor
Comparison fields: 5 of 25
  • Artificial Intelligence 237
  • Computational Theory and Mathematics 71
  • Information Systems 77
  • Computer Networks and Communications 76
  • Signal Processing 22
Replace Patrick Koopmann with:
Patrick Koopmann Germany
Renata Wassermann Brazil
Yuting Zhao United Kingdom
Pavel Klinov United Kingdom
Nitisha Jain India
Panos Rondogiannis Greece
Martin Peim United Kingdom
Barış Sertkaya Germany
Jan Noessner Germany
Bradley L. Richards United States
Ralf Molitor relative to Patrick Koopmann Germany Patrick Koopmann's profile →
Citations per field
00.5×2.7×
Patrick Koopmann · 1×
Citations per year

Countries citing papers authored by Ralf Molitor

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Molitor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Ralf Molitor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ralf Molitor Line = papers co-authored together Ralf Molitor links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Computing Least Common Subsumers in Description Logics with Existential Restrictions
1999116
2 200728
3 199925
4 200024
5 200124
6 200012
7
Approximating most specific concepts in description logics with existential restrictions
200210
8
Unterstützung der Modellierung verfahrenstechnischer Prozesse durch Nicht-Standardinferenzen in Beschreibungslogiken.
20009
9 20059
10
Using Lazy Unfolding for the Computation of Least Common Subsumers.
20014

About Ralf Molitor

Ralf Molitor is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Molecular Biology, having authored 10 papers that have together received 261 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Logic, Reasoning, and Knowledge (5 papers), Natural Language Processing Techniques (4 papers), Advanced Database Systems and Queries (2 papers), Rough Sets and Fuzzy Logic (2 papers), Fuzzy Logic and Control Systems (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Formal Methods in Verification (1 paper). The work is most often cited by research in Artificial Intelligence (237 citations), Computational Theory and Mathematics (71 citations), Information Systems (77 citations), Computer Networks and Communications (76 citations) and Signal Processing (22 citations). Ralf Molitor has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ralf Küsters, Franz Baader, Diego Calvanese, Ulrike Sattler, Stephan Tobies and Anni-Yasmin Turhan. Their work appears in journals such as Studia Logica, Lecture notes in computer science, AI Communications, Studies in fuzziness and soft computing and Description Logics.

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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