Carsten Maus

426 citations
22 papers · 340 · h-index 9

Impact in

Papers in

Carsten Maus

22 papers receiving 330 citations

Peers

Carsten Maus
Comparison fields: 5 of 57
  • Software 65
  • Management Science and Operations Research 165
  • Information Systems and Management 55
  • Computational Theory and Mathematics 49
  • Molecular Biology 175
Replace Fiete Haack with:
Fiete Haack Germany
Paola Quaglia Italy
Amir Aryani Australia
Laura Nenzi Italy
Luca Tesei Italy
David Šafránek Czechia
Mostafa Herajy Egypt
Michael Hartung Germany
Mateusz Pawlik Austria
Can Türker Germany
Carsten Maus relative to Fiete Haack Germany Fiete Haack's profile →
Citations per field
00.5×1.5×2.3×
Fiete Haack · 1×
Citations per year

Countries citing papers authored by Carsten Maus

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Maus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2 200728
3 201128
4 200724
5 201723
6 200721
7 201214
8 201213
9 200910
10 20087
11 20127
12 20087
13 20095
14 20144
15 20094
16 20223
17 20083
18 20133
19 20132
20
Dictyostelium discoideum: Aggregation and Synchronisation of Amoebas in Time and Space
20152

About Carsten Maus

Carsten Maus is a scholar working on Molecular Biology, Management Science and Operations Research, Software, Computational Theory and Mathematics and Genetics, having authored 22 papers that have together received 340 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Simulation Techniques and Applications (11 papers), Model-Driven Software Engineering Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers), Protein Structure and Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Modeling and Simulation Systems (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Software (65 citations), Management Science and Operations Research (165 citations), Information Systems and Management (55 citations), Computational Theory and Mathematics (49 citations) and Molecular Biology (175 citations). Carsten Maus has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Adelinde M. Uhrmacher, Roland Ewald, Mathias John, Fiete Haack, A. Rolfs, Jan Himmelspach, Heidrun Schumann, Mathias Röhl, Hans‐Jörg Schulz and Arndt Rolfs. Their work appears in journals such as Journal of Simulation, International Journal of Cancer, BMC Systems Biology, ACM Transactions on Modeling and Computer Simulation and Lecture notes in computer science.

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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