Markus L. Schmid

493 citations
34 papers · 98 · h-index 6

Impact in

Papers in

Markus L. Schmid

26 papers receiving 90 citations

Peers

Markus L. Schmid
Comparison fields: 5 of 18
  • Computational Theory and Mathematics 61
  • Artificial Intelligence 72
  • Hardware and Architecture 8
  • Software 4
  • Computer Graphics and Computer-Aided Design 2
Replace Takayoshi Shoudai with:
Takayoshi Shoudai Japan
Jean-Marc Talbot France
Shankara Narayanan Krishna India
Avivit Levy Israel
Hiroki Shizuya Japan
Marcella Anselmo Italy
Claudio Ferretti Italy
S. Yu Canada
Sebastian Seibert Germany
Lewis M. Norton United States
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Citations per field
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Citations per year

Countries citing papers authored by Markus L. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Markus L. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201612
2 20159
3 20139
4 20158
5 20148
6 20156
7 20215
8 20164
9 20183
10 20183
11 20133
12 20173
13 20203
14 20133
15 20213
16 20132
17 20162
18 20202
19 20142
20 20132

About Markus L. Schmid

Markus L. Schmid is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 98 indexed citations. Recurring topics across this work include semigroups and automata theory (22 papers), Algorithms and Data Compression (20 papers), DNA and Biological Computing (13 papers), Machine Learning and Algorithms (8 papers), Advanced Graph Theory Research (6 papers), Graph Theory and Algorithms (4 papers), Optimization and Search Problems (3 papers) and Network Packet Processing and Optimization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (61 citations), Artificial Intelligence (72 citations), Hardware and Architecture (8 citations), Software (4 citations) and Computer Graphics and Computer-Aided Design (2 citations). Markus L. Schmid has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Henning Fernau, Daniel Reidenbach, Yngve Villanger, Florín Manea, Robert Mercaş, Rudolf Freund, Nicole Schweikardt, K. G. Subramanian, Laurent Bulteau and Serge Gaspers. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Theory of Computing Systems, Discrete Applied Mathematics and Journal of Computer and System Sciences.

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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