Michael Glaß

2.7k citations
102 papers · 1.5k · h-index 21

Impact in

Papers in

Michael Glaß

99 papers receiving 1.5k citations

Peers

Michael Glaß
Comparison fields: 5 of 84
  • Hardware and Architecture 708
  • Software 119
  • Computer Networks and Communications 430
  • Computational Theory and Mathematics 241
  • Artificial Intelligence 480
Replace Janusz Zalewski with:
Janusz Zalewski United States
Peter H. Feiler United States
B.W. Johnson United States
William H. Sanders United States
Patricia Derler United States
Jakob Axelsson Sweden
G. Franceschinis Italy
Cristiana Bolchini Italy
Christian Kreiner Austria
C. A. Petri Germany
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Citations per field
00.5×8.2×
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Citations per year

Countries citing papers authored by Michael Glaß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Glaß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015193
2 2011142
3 200984
4 200753
5 201753
6 201647
7 202247
8 200942
9 200839
10 201737
11 200736
12 201436
13
Learning by reading: a prototype system, performance baseline and lessons learned
200732
14 201426
15 201725
16 201425
17 202322
18 201622
19 200720
20 200820

About Michael Glaß

Michael Glaß is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (34 papers), Real-Time Systems Scheduling (20 papers), Interconnection Networks and Systems (17 papers), Parallel Computing and Optimization Techniques (14 papers), Radiation Effects in Electronics (13 papers), Formal Methods in Verification (13 papers), Software Reliability and Analysis Research (13 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (708 citations), Software (119 citations), Computer Networks and Communications (430 citations), Computational Theory and Mathematics (241 citations) and Artificial Intelligence (480 citations). Michael Glaß has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Jürgen Teich, Martin Lukasiewycz, Felix Reimann, Christian Haubelt, Bing Xiang, Bowen Zhou, Minwei Feng, Lidan Wang, Stefan Wildermann and Hananeh Aliee. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, Journal of Systems Architecture, Engineering Applications of Artificial Intelligence, Systems Science & Control Engineering and AI Magazine.

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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