Peter Baumgartner

1.6k citations
78 papers · 1.1k · h-index 21

Impact in

Papers in

Peter Baumgartner

71 papers receiving 1.0k citations

Peers

Peter Baumgartner
Comparison fields: 5 of 54
  • Computational Theory and Mathematics 535
  • Artificial Intelligence 1.0k
  • Software 114
  • Computer Networks and Communications 238
  • Information Systems 82
Replace Marco Cadoli with:
Marco Cadoli Italy
Robert Schrag United States
Andrew Ireland United Kingdom
Judicaël Courant France
Eduardo Giménez France
Boris Konev United Kingdom
Daniel J. Dougherty United States
Jan Małuszyński Sweden
Renate A. Schmidt United Kingdom
Amy Felty Canada
Peter Baumgartner relative to Marco Cadoli Italy Marco Cadoli's profile →
Citations per field
00.5×3.3×
Marco Cadoli · 1×
Citations per year

Countries citing papers authored by Peter Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Baumgartner, 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 Peter Baumgartner Line = papers co-authored together Peter Baumgartner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996119
2 200373
3 200060
4 200650
5 199445
6 200942
7 200740
8 199839
9 201238
10 200738
11 201333
12
Semantically Guided Theorem Proving for Diagnosis Applications.
199730
13 199429
14 200728
15 200627
16 200526
17 200025
18 200822
19 199721
20 200621

About Peter Baumgartner

Peter Baumgartner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Software and Hardware and Architecture, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (46 papers), Logic, programming, and type systems (38 papers), Formal Methods in Verification (29 papers), Semantic Web and Ontologies (26 papers), AI-based Problem Solving and Planning (11 papers), Natural Language Processing Techniques (8 papers), Advanced Database Systems and Queries (7 papers) and Constraint Satisfaction and Optimization (6 papers). The work is most often cited by research in Computational Theory and Mathematics (535 citations), Artificial Intelligence (1.0k citations), Software (114 citations), Computer Networks and Communications (238 citations) and Information Systems (82 citations). Peter Baumgartner has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Ulrich Furbach, Cesare Tinelli, Alexander Fuchs, Ilkka Niemelä, Uwe Waldmann, Frieder Stolzenburg, Fabio Massacci, Geoff Sutcliffe, Stephan Schulz and Renate A. Schmidt. Their work appears in journals such as Journal of Automated Reasoning, Lecture notes in computer science, Artificial Intelligence, IEEE Intelligent Systems and Journal of Applied Logic.

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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