Michael Hohmuth

1.0k citations
15 papers · 675 indexed · h-index 11

Impact in

Papers in

Michael Hohmuth

15 papers receiving 575 citations

Peers

Michael Hohmuth
Comparison fields: 5 of 23
  • Hardware and Architecture 442
  • Computer Networks and Communications 430
  • Signal Processing 108
  • Artificial Intelligence 284
  • Information Systems 175
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Citations per year

Countries citing papers authored by Michael Hohmuth

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hohmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michael Hohmuth, 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 Michael Hohmuth Line = papers co-authored together Michael Hohmuth links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1997188
2 2002132
3 200662
4 201057
5 200457
6 201042
7
Pragmatic Nonblocking Synchronization for Real-Time Systems
200136
8 200326
9 200222
10
The Semantics of C++ Data Types: Towards Verifying low-level System Components
200313
11 199711
12
RTLinux with Address Spaces
20019
13
Hardware acceleration for lock-free data structures and software-transactional memory
20089
14 20016
15
The performance of µ-kernel-based systems
19975

About Michael Hohmuth

Michael Hohmuth is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 15 papers that have together received 675 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (9 papers), Advanced Data Storage Technologies (6 papers), Real-Time Systems Scheduling (5 papers), Security and Verification in Computing (3 papers), Logic, programming, and type systems (2 papers), Advanced Malware Detection Techniques (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Hardware and Architecture (442 citations), Computer Networks and Communications (430 citations), Signal Processing (108 citations), Artificial Intelligence (284 citations) and Information Systems (175 citations). Michael Hohmuth has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Hermann Härtig, Jochen Liedtke, Sebastian Schönberg, Jean Wolter, Michael Peter, Stephan Diestelhorst, Hendrik Tews, Jonathan Shapiro, JaeWoong Chung and Adam Lackorzyński. Their work appears in journals such as Journal of Bacteriology, ACM SIGOPS Operating Systems Review and Zenodo (CERN European Organization for Nuclear Research).

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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