Roland Ewald

912 citations
52 papers · 607 indexed · h-index 15
Topics
Simulation Techniques and Applications (41 papers)Gene Regulatory Network Analysis (15 papers)Scientific Computing and Data Management (11 papers)

In The Last Decade

Roland Ewald

51 papers receiving 582 citations

Peers

Roland Ewald
Comparison fields: 5 of 87
  • Management Science and Operations Research 400
  • Molecular Biology 223
  • Computer Networks and Communications 184
  • Information Systems and Management 166
  • Software 75
Replace Carsten Maus with:
Carsten Maus Germany
Daniel Karlsson Sweden
Wentao Wu China
Michihiro Yasunaga United States
Nikolaus Augsten Austria
Antoon Goderis United Kingdom
Paulo Pinheiro da Silva United States
Darren Marvin United Kingdom
Justin Ferris United Kingdom
Carl Tropper Canada
Roland Ewald relative to Carsten Maus Germany Carsten Maus's profile →
Citations per field
00.5×5.9×
Carsten Maus · 1×
Citations per year

Countries citing papers authored by Roland Ewald

Since Specialization
Citations

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

Fields of papers citing papers by Roland Ewald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Ewald

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Ewald. A scholar is included among the top collaborators of Roland Ewald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roland Ewald. Roland Ewald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 3
3 54
4 12
5 4
6 2
7 2
8 1
9 3
10 34
11 2
12 2
13 1
14 8
15
Modeling, Simulation and Games.
1
16 23
17 17
18 21
19 7
20 10

About Roland Ewald

Roland Ewald is a scholar working on Management Science and Operations Research, Information Systems and Management and Software, having authored 52 papers that have together received 607 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (41 papers), Gene Regulatory Network Analysis (15 papers) and Scientific Computing and Data Management (11 papers). The work is most often cited by research in Management Science and Operations Research (400 citations), Information Systems and Management (166 citations) and Software (75 citations). Roland Ewald has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Adelinde M. Uhrmacher, Jan Himmelspach, Mathias John, Carsten Maus, Heiko Lemcke, Fiete Haack, Tareck Rharass, Richard Fujimoto, A. Rolfs and Georgios Theodoropoulos. Their work appears in journals such as PLoS ONE, Journal of Computational Physics and BMC Bioinformatics.

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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