Stephan Schulz

1.3k citations
38 papers · 989 · h-index 19

Impact in

Papers in

Stephan Schulz

37 papers receiving 910 citations

Peers

Stephan Schulz
Comparison fields: 5 of 93
  • Software 130
  • Computational Theory and Mathematics 484
  • Artificial Intelligence 742
  • Hardware and Architecture 52
  • Computer Networks and Communications 106
Replace Samuel Boutin with:
Samuel Boutin Canada
Jozef Gruska Czechia
Frédéric Magniez France
Saurabh Srivastava India
Erwin Engeler Switzerland
Karen Seidel United Kingdom
Alessandra Di Pierro Italy
Peter van Rossum Netherlands
Anna Bernasconi Italy
Gabriel Ciobanu Romania
Stephan Schulz relative to Samuel Boutin Canada Samuel Boutin's profile →
Citations per field
00.5×1.5×1.9×
Samuel Boutin · 1×
Citations per year

Countries citing papers authored by Stephan Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200586
2 201969
3 200967
4 200561
5 200460
6 200559
7 200657
8 199755
9 200649
10 200846
11 200546
12 201242
13 200836
14 199628
15 200528
16
A Comparison of Different Techniques for Grounding Near-Propositional CNF Formulae
200224
17 199623
18 201223
19 201919
20 201714

About Stephan Schulz

Stephan Schulz is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Atomic and Molecular Physics, and Optics and Hardware and Architecture, having authored 38 papers that have together received 989 indexed citations. Recurring topics across this work include Logic, programming, and type systems (20 papers), Logic, Reasoning, and Knowledge (17 papers), Formal Methods in Verification (16 papers), Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (3 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Model-Driven Software Engineering Techniques (3 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Software (130 citations), Computational Theory and Mathematics (484 citations), Artificial Intelligence (742 citations), Hardware and Architecture (52 citations) and Computer Networks and Communications (106 citations). Stephan Schulz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Jörg Denzinger, Simon Cruanes, Geoff Sutcliffe, Ferdinand Schmidt‐Kaler, Ulrich Poschinger, Roberto Sebastiani, Roberto Bruttomesso, Alessandro Cimatti, Tommi A. Junttila and Marco Bozzano. Their work appears in journals such as Journal of Automated Reasoning, Lecture notes in computer science, Fortschritte der Physik, Physical Review A and Chemical Physics.

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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