Martin Pollet

551 citations
12 papers · 56 · h-index 5

Impact in

Papers in

Martin Pollet

10 papers receiving 32 citations

Peers

Martin Pollet
Comparison fields: 5 of 20
  • Software 9
  • Theoretical Computer Science 2
  • Artificial Intelligence 47
  • Computational Theory and Mathematics 23
  • Computer Networks and Communications 6
Replace Jan Leike with:
Jan Leike Australia
Benjamin Monmege France
Tobias Heindel Germany
Christian Sternagel Austria
Jacob M. Howe United Kingdom
Harald Zankl Austria
Edmund Clarke United States
Arnaud Sangnier France
Dav M. Gabbay United Kingdom
Healfdene Goguen United States
Martin Pollet relative to Jan Leike Australia Jan Leike's profile →
Citations per field
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Citations per year

Countries citing papers authored by Martin Pollet

Since Specialization
Citations

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

Fields of papers citing papers by Martin Pollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Martin Pollet, 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 Martin Pollet Line = papers co-authored together Martin Pollet links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199915
2
Proof Development with Omega-MEGA: sqrt(2) Is Irrational
200210
3 20028
4
Adaptive Course Generation and Presentation
20005
5
Automatic learning in proof planning
20024
6
Informal and Formal Representations in Mathematics
20073
7 20043
8
Proof Planning: A Fresh Start?
20013
9
Irrationality of square root of 2 -- A case study in OMEGA
20022
10 20062
11 20221
12 20250

About Martin Pollet

Martin Pollet is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Civil and Structural Engineering, General Health Professions and Computational Mechanics, having authored 12 papers that have together received 56 indexed citations. Recurring topics across this work include Logic, programming, and type systems (6 papers), Logic, Reasoning, and Knowledge (3 papers), Semantic Web and Ontologies (3 papers), Formal Methods in Verification (2 papers), Hermeneutics and Narrative Identity (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Mineral Processing and Grinding (1 paper) and History and Theory of Mathematics (1 paper). The work is most often cited by research in Software (9 citations), Theoretical Computer Science (2 citations), Artificial Intelligence (47 citations), Computational Theory and Mathematics (23 citations) and Computer Networks and Communications (6 citations). Martin Pollet has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Christoph Benzmüller, Volker Sorge, Armin Fiedler, Andreas Meier, Andreas Meier, Erica Melis⋆, Manfred Kerber, Jörg H. Siekmann, Mateja Jamnik and Helmut Horacek. Their work appears in journals such as Computers & Structures, Formal Aspects of Computing, Electronic Notes in Theoretical Computer Science, Journal of Symbolic Computation and European Conference on Artificial Intelligence.

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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