Andreas Malcher

1.0k citations
58 papers · 264 · h-index 8

Impact in

Papers in

Andreas Malcher

48 papers receiving 242 citations

Peers

Andreas Malcher
Comparison fields: 5 of 24
  • Computational Theory and Mathematics 240
  • Artificial Intelligence 168
  • Molecular Biology 167
  • Mathematical Physics 5
  • Computer Networks and Communications 11
Replace Michel Latteux with:
Michel Latteux France
Hing Leung United States
Detlef Wotschke United States
Beatrice Palano Italy
Carlo Mereghetti Italy
Cezar Câmpeanu Canada
Shinnosuke Seki Japan
Martin Plátek Czechia
Galina Jirásková Slovakia
Manfred Kudlek Germany
Andreas Malcher relative to Michel Latteux France Michel Latteux's profile →
Citations per field
00.5×11.5×
Michel Latteux · 1×
Citations per year

Countries citing papers authored by Andreas Malcher

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Malcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200247
2 200219
3 201017
4 201115
5 200412
6 201211
7 20159
8
On the Descriptional Complexity of Iterative Arrays
20048
9 20167
10 20077
11 20087
12 20097
13 20136
14 20206
15 20175
16 20125
17
On One-Way Cellular Automata with a Fixed Number of Cells.
20024
18 20164
19 20074
20 20074

About Andreas Malcher

Andreas Malcher is a scholar working on Computational Theory and Mathematics, Molecular Biology, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 58 papers that have together received 264 indexed citations. Recurring topics across this work include semigroups and automata theory (48 papers), DNA and Biological Computing (37 papers), Cellular Automata and Applications (18 papers), Machine Learning and Algorithms (15 papers), Formal Methods in Verification (10 papers), Algorithms and Data Compression (10 papers), Logic, programming, and type systems (6 papers) and Computability, Logic, AI Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (240 citations), Artificial Intelligence (168 citations), Molecular Biology (167 citations), Mathematical Physics (5 citations) and Computer Networks and Communications (11 citations). Andreas Malcher has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Martin Kutrib, Detlef Wotschke, Carlo Mereghetti, Hing Leung, Martin Kappes, Beatrice Palano, Jonathan Goldstine, Chandra M. R. Kintala, Markus Holzer and Henning Bordihn. Their work appears in journals such as Theoretical Computer Science, International Journal of Foundations of Computer Science, Information and Computation, Acta Informatica and Natural Computing.

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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