Karsten Sohr

38 papers receiving 328 citations

Peers

Karsten Sohr
Comparison fields: 5 of 47
  • Software 33
  • Information Systems 178
  • Management Information Systems 63
  • Artificial Intelligence 196
  • Signal Processing 63
Replace Bart De Win with:
Bart De Win Belgium
Torsten Lodderstedt Switzerland
Yudistira Asnar Indonesia
Luca Verderame Italy
Bob Blakley United States
Twittie Senivongse Thailand
Jeffrey Voas United States
Jürgen Doser Switzerland
Mary Ellen Zurko United States
Steven A. Demurjian United States
Karsten Sohr relative to Bart De Win Belgium Bart De Win's profile →
Citations per field
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Bart De Win · 1×
Citations per year

Countries citing papers authored by Karsten Sohr

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Sohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Karsten Sohr, 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 Karsten Sohr Line = papers co-authored together Karsten Sohr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200657
2 200844
3 201320
4 200819
5
Organizing Security Patterns Related to Security and Pattern Recognition Requirements
201217
6 200415
7 200515
8 200414
9 200514
10 201212
11 201211
12 201110
13 201910
14 20199
15 20138
16 20118
17 20047
18 20107
19 20147
20 20116

About Karsten Sohr

Karsten Sohr is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Signal Processing and Software, having authored 44 papers that have together received 352 indexed citations. Recurring topics across this work include Security and Verification in Computing (22 papers), Access Control and Trust (19 papers), Advanced Malware Detection Techniques (14 papers), Service-Oriented Architecture and Web Services (10 papers), Business Process Modeling and Analysis (6 papers), Software Testing and Debugging Techniques (6 papers), Digital Games and Media (3 papers) and Digital and Cyber Forensics (3 papers). The work is most often cited by research in Software (33 citations), Information Systems (178 citations), Management Information Systems (63 citations), Artificial Intelligence (196 citations) and Signal Processing (63 citations). Karsten Sohr has collaborated with scholars based in Germany and United States. Frequent co-authors include Gail‐Joon Ahn, Andreas Schaad, Martin Gogolla, Bernhard Berger, Mirco Kuhlmann, Rainer Koschke, Rainer Malaka, Till Mossakowski, Carsten Bormann and Hongxin Hu. Their work appears in journals such as International Journal of Information Security, Mathematical Structures in Computer Science, IEEE Transactions on Knowledge and Data Engineering, Information and Software Technology and The Journal of Object Technology.

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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