Klaus Stein

26 papers receiving 157 citations

Peers

Klaus Stein
Comparison fields: 5 of 70
  • Communication 49
  • Computer Science Applications 27
  • Toxicology 13
  • Computer Vision and Pattern Recognition 41
  • Statistical and Nonlinear Physics 24
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Countries citing papers authored by Klaus Stein

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Klaus Stein, 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 Klaus Stein Line = papers co-authored together Klaus Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200742
2 201027
3 201813
4 200613
5
Qualitative and Quantitative Representations of Locomotion and their Application in Robot Navigation
199912
6
Methods and Measures for the Analysis of Corporate Wikis: A Case Study
20089
7 20138
8 19927
9 20156
10 19836
11
DARPA stressing development of pilot's associate system
19854
12
Corporate Wikis: A Comparative Analysis of Structures and Dynamics
20094
13
A geowiki for participatory mobility
20133
14
Efficient calculation of personalized document rankings
20073
15
Naturphilosophie der Frühromantik
20042
16
Generalization, Segmentation and Classification of Qualitative Motion Data.
19982
17
Fessellos durch die Systeme : frühromantisches Naturdenken im Umfeld von Arnim, Ritter und Schelling
19972
18
Information Retrieval in Trust-Enhanced Document Networks
20062
19 20112
20 20062

About Klaus Stein

Klaus Stein is a scholar working on Information Systems, Sociology and Political Science, Computer Networks and Communications, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 30 papers that have together received 177 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers), Web Data Mining and Analysis (3 papers), Wikis in Education and Collaboration (3 papers), Open Source Software Innovations (2 papers), Advanced Battery Materials and Technologies (2 papers), Opinion Dynamics and Social Influence (2 papers) and Access Control and Trust (2 papers). The work is most often cited by research in Communication (49 citations), Computer Science Applications (27 citations), Toxicology (13 citations), Computer Vision and Pattern Recognition (41 citations) and Statistical and Nonlinear Physics (24 citations). Klaus Stein has collaborated with scholars based in Germany, Pakistan and United States. Frequent co-authors include Christoph Schlieder, Steffen Blaschke, Thomas Röfer, Heinz P. Fritz, Yang‐Hsin Shih, Ute Schmid, Joan D. Goodman, Michael Münz, R. Wilbur Herr and Dan J. Stein. Their work appears in journals such as KN - Journal of Cartography and Geographic Information, Journal of Ultrasound in Medicine, Forensic Science International, Journal of Power Sources and Pneumologie.

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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