Markus Mock

868 citations
33 papers · 665 · h-index 12

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 2%
    • Software Testing and Debugging Techniques

Papers in

Markus Mock

30 papers receiving 598 citations

Peers

Markus Mock
Comparison fields: 5 of 33
  • Hardware and Architecture 390
  • Software 209
  • Information Systems 249
  • Computer Networks and Communications 247
  • Artificial Intelligence 305
Replace Toshiaki Yasue with:
Toshiaki Yasue Japan
Brendan Eich United States
Kazuaki Ishizaki Japan
Dries Buytaert Belgium
Motohiro Kawahito Japan
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Cliff Click United States
Toshio Suganuma Japan
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Citations per field
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Citations per year

Countries citing papers authored by Markus Mock

Since Specialization
Citations

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

Fields of papers citing papers by Markus Mock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Markus Mock, 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 Mock Line = papers co-authored together Markus Mock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 1999117
3 199768
4 200259
5 200052
6 200146
7 202126
8 200524
9 199322
10 200018
11
Automatic Dynamic Compilation Support for Event Dispatching in Extensible Systems
199812
12 201912
13
An evaluation of staged run-time optimizations in DyC (with retrospective)
199911
14 20029
15 19949
16 19977
17 20197
18 20197
19 20026
20 19996

About Markus Mock

Markus Mock is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Software and Artificial Intelligence, having authored 33 papers that have together received 665 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Software Testing and Debugging Techniques (14 papers), Advanced Data Storage Technologies (7 papers), Software Engineering Research (7 papers), Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (6 papers), Logic, programming, and type systems (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Hardware and Architecture (390 citations), Software (209 citations), Information Systems (249 citations), Computer Networks and Communications (247 citations) and Artificial Intelligence (305 citations). Markus Mock has collaborated with scholars based in United States and Germany. Frequent co-authors include Craig Chambers, Susan J. Eggers, Matthai Philipose, Brian Grant, Darren C. Atkinson, Benedikt C. Spies, Manuvir Das, Alexander Schill, Chandra Krintz and Rich Wolski. Their work appears in journals such as ACM SIGPLAN Notices, Theoretical Computer Science, IEEE Transactions on Software Engineering, ACM Transactions on Programming Languages and Systems and Lecture notes in computer science.

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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