Markus Müller-Olm

1.6k citations
24 papers · 340 · h-index 9

Impact in

Papers in

Markus Müller-Olm

22 papers receiving 303 citations

Peers

Markus Müller-Olm
Comparison fields: 5 of 29
  • Software 148
  • Computational Theory and Mathematics 239
  • Hardware and Architecture 68
  • Artificial Intelligence 212
  • Signal Processing 30
Replace Enea Zaffanella with:
Enea Zaffanella Italy
Amir M. Ben-Amram Israel
Nicolas Markey France
Germán Vidal Spain
Enric Rodríguez-Carbonell Spain
Jürgen Giesl Germany
Judi Romijn Netherlands
Wouter Swierstra Netherlands
Marie-Claude Gaudel France
Bruno Barras France
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Citations per field
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Citations per year

Countries citing papers authored by Markus Müller-Olm

Since Specialization
Citations

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

Fields of papers citing papers by Markus Müller-Olm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Müller-Olm. 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 Markus Müller-Olm. The network helps show where Markus Müller-Olm may publish in the future.

Co-authors

The 14 scholars most cited alongside Markus Müller-Olm, 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 Markus Müller-Olm Line = papers co-authored together Markus Müller-Olm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2
Model-Checking: A Tutorial Introduction
199969
3 200446
4 200732
5 200122
6 199821
7 199714
8 200411
9 20118
10 20117
11 19975
12 20114
13 20204
14 20062
15
On the Evolution of Reactive Components: A Process-Algebraic Approach
19992
16 20182
17 20032
18
On Excusable and Inexcusable Failures
19991
19 20091
20 20111

About Markus Müller-Olm

Markus Müller-Olm is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Software, Artificial Intelligence and Computer Networks and Communications, having authored 24 papers that have together received 340 indexed citations. Recurring topics across this work include Formal Methods in Verification (16 papers), Parallel Computing and Optimization Techniques (9 papers), Software Testing and Debugging Techniques (8 papers), Logic, programming, and type systems (7 papers), Real-Time Systems Scheduling (5 papers), Model-Driven Software Engineering Techniques (3 papers), Software Reliability and Analysis Research (3 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Software (148 citations), Computational Theory and Mathematics (239 citations), Hardware and Architecture (68 citations), Artificial Intelligence (212 citations) and Signal Processing (30 citations). Markus Müller-Olm has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Helmut Seidl, Bernhard Steffen, David A. Schmidt, Juris Hartmanis, Jan Van Leeuwen, Peter Lammich, Zijiang Yang, Rance Cleaveland, Neil D. Jones and Xinyu Feng. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, Proceedings of the ACM on Programming Languages, Theoretical Computer Science and Information and Computation.

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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