Sebastian Ries

21 papers receiving 515 citations

Peers

Sebastian Ries
Comparison fields: 5 of 35
  • Information Systems 423
  • Artificial Intelligence 264
  • Sociology and Political Science 233
  • Computer Networks and Communications 231
  • Information Systems and Management 18
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Smitha Sundareswaran United States
Sheikh Mahbub Habib Germany
Els Van Herreweghen Switzerland
D. Recordon
Nathan Dimmock United Kingdom
Leon Gommans Netherlands
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Canh Ngo Netherlands
Satoshi Hada Japan
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Countries citing papers authored by Sebastian Ries

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Ries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Ries

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Ries. A scholar is included among the top collaborators of Sebastian Ries 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 Sebastian Ries. Sebastian Ries 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 22
2 95
3 4
4 12
5 3
6 9
7 21
8 8
9 3
10
Identifiers, Privacy and Trust in the Internet of Services
1
11 84
12
Interactive access rule learning : Generating adapted access rule sets
1
13
Concepts and Scheme for Multilaterally Secure, User-Friendly Attribute-Based Messaging
3
14
Towards Trustworthy Identity and Access Management for the Future Internet
15
15
Shaping the Future Internet
5
16 41
17 13
18
Evaluating User Representations for the Trustworthiness of Interaction Partners
5
19
Inherent tradeoffs in ubiquitous computing services
6
20 36

About Sebastian Ries

Sebastian Ries is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications, having authored 22 papers that have together received 565 indexed citations. Recurring topics across this work include Access Control and Trust (17 papers), Cryptography and Data Security (11 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Information Systems (423 citations), Computer Networks and Communications (231 citations) and Artificial Intelligence (264 citations). Sebastian Ries has collaborated with scholars based in Germany, Australia and Sweden. Frequent co-authors include Max Mühlhäuser, Sheikh Mahbub Habib, Sascha Hauke, Stefan Weber, Leonardo A. Martucci, Erwin Aitenbichler, Guido Schryen, Melanie Volkamer, Audun Jøsang and Roksana Boreli. Their work appears in journals such as Wireless Networks, Security and Communication Networks and Journal of Cloud Computing Advances Systems and Applications.

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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