Markus Holzer

2.7k citations
224 papers · 1.9k · h-index 22

Impact in

Papers in

    • semigroups and automata theory 154
    • Formal Methods in Verification 30
    • Advanced Algebra and Logic 24
    • Machine Learning and Algorithms 61
    • Logic, programming, and type systems 36
    • Algorithms and Data Compression 33
    • Natural Language Processing Techniques 24

Markus Holzer

203 papers receiving 1.8k citations

Peers

Markus Holzer
Comparison fields: 5 of 89
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 1.2k
  • Molecular Biology 880
  • Computer Vision and Pattern Recognition 156
  • Software 29
Replace Etsuji Tomita with:
Etsuji Tomita Japan
Hiroki Arimura Japan
Yeow Meng Chee Singapore
Juris Hartmanis United States
Donald Beaver United States
Jeanette P. Schmidt United States
Guoliang Chen China
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Citations per field
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Etsuji Tomita · 1×
Citations per year

Countries citing papers authored by Markus Holzer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Holzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003123
2 2010105
3 200456
4 200851
5 201047
6 200941
7 201237
8 200737
9 201036
10 200936
11 200136
12 200335
13 201234
14 200430
15 200728
16 199326
17 200324
18 200924
19 200324
20 201223

About Markus Holzer

Markus Holzer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 224 papers that have together received 1.9k indexed citations. Recurring topics across this work include semigroups and automata theory (154 papers), DNA and Biological Computing (96 papers), Machine Learning and Algorithms (61 papers), Logic, programming, and type systems (36 papers), Algorithms and Data Compression (33 papers), Formal Methods in Verification (30 papers), Natural Language Processing Techniques (24 papers) and Advanced Algebra and Logic (24 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.2k citations), Molecular Biology (880 citations), Computer Vision and Pattern Recognition (156 citations) and Software (29 citations). Markus Holzer has collaborated with scholars based in Germany, Canada and Austria. Frequent co-authors include Martin Kutrib, Hermann Gruber, Henning Bordihn, Henning Fernau, Barbara König, Georg Langs, Andreas Malcher, Carsten Damm, Klaus-Jörn Lange and René Donner. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Lecture notes in computer science, Information and Computation and Fundamenta Informaticae.

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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