Mark-Oliver Stehr

906 citations
55 papers · 698 · h-index 17

Impact in

Papers in

Mark-Oliver Stehr

54 papers receiving 650 citations

Peers

Mark-Oliver Stehr
Comparison fields: 5 of 41
  • Computational Theory and Mathematics 278
  • Computer Networks and Communications 367
  • Software 60
  • Hardware and Architecture 78
  • Artificial Intelligence 339
Replace Antonio Cau with:
Antonio Cau United Kingdom
Dilsun Kaynar United States
Giuseppe Della Penna Italy
José Proença Portugal
Fabrizio Montesi Denmark
Wolfgang Blochinger Germany
Rachid Hadjidj Canada
Jeremy T. Bradley United Kingdom
Karl Meinke Sweden
Brian Larson United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark-Oliver Stehr

Since Specialization
Citations

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

Fields of papers citing papers by Mark-Oliver Stehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark-Oliver Stehr. 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 Mark-Oliver Stehr. The network helps show where Mark-Oliver Stehr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200167
2 199952
3 200738
4 201237
5 200732
6 200730
7 200429
8 201029
9
The HOL/NuPRL Proof Translator (A Practical Approach to Formal Interoperability)
200125
10 201222
11 200722
12 201022
13 200122
14 200518
15 201317
16 200617
17 200516
18 200815
19 200415
20 201113

About Mark-Oliver Stehr

Mark-Oliver Stehr is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Hardware and Architecture, having authored 55 papers that have together received 698 indexed citations. Recurring topics across this work include Formal Methods in Verification (12 papers), Logic, programming, and type systems (11 papers), Opportunistic and Delay-Tolerant Networks (11 papers), Distributed systems and fault tolerance (11 papers), Caching and Content Delivery (10 papers), Mobile Ad Hoc Networks (8 papers), Logic, Reasoning, and Knowledge (7 papers) and Access Control and Trust (4 papers). The work is most often cited by research in Computational Theory and Mathematics (278 citations), Computer Networks and Communications (367 citations), Software (60 citations), Hardware and Architecture (78 citations) and Artificial Intelligence (339 citations). Mark-Oliver Stehr has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Carolyn Talcott, José Meseguer, Minyoung Kim, Grit Denker, Nalini Venkatasubramanian, Peter Csaba Ölveczky, Nikil Dutt, Daniel Elenius, David E. Wilkins and Pavel Naumov. Their work appears in journals such as Lecture notes in computer science, Science of Computer Programming, Journal of Logical and Algebraic Methods in Programming, Journal of Parallel and Distributed Computing and ACM Transactions on Embedded Computing Systems.

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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