Torsten Priebe

685 citations
20 papers · 291 · h-index 11

Impact in

Papers in

Torsten Priebe

20 papers receiving 254 citations

Peers

Torsten Priebe
Comparison fields: 5 of 45
  • Information Systems 156
  • Management Information Systems 60
  • Artificial Intelligence 141
  • Management Science and Operations Research 52
  • Computer Networks and Communications 87
Replace Twittie Senivongse with:
Twittie Senivongse Thailand
Yiannis Verginadis Greece
András Micsik Hungary
Christophe Debruyne Ireland
Devdatta Kulkarni United States
Mattia Salnitri Italy
S. Swamynathan India
Pietro Colombo Italy
Antonio Maña Spain
Damiano Torre Canada
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Citations per field
00.5×2.9×
Twittie Senivongse · 1×
Citations per year

Countries citing papers authored by Torsten Priebe

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Priebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Torsten Priebe, 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 Torsten Priebe Line = papers co-authored together Torsten Priebe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200660
2 200040
3 200736
4 200421
5 200320
6 201515
7 200414
8 202213
9
ABAC – Ein Referenzmodell für attributbasierte Zugriffskontrolle
200512
10 200511
11 202110
12 20048
13 20216
14 20116
15 20074
16
Supporting Knowledge Work with Knowledge Stance-Oriented Integrative Portals
20054
17 20194
18 20094
19 20112
20 20241

About Torsten Priebe

Torsten Priebe is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Management Science and Operations Research, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (5 papers), Cryptography and Data Security (4 papers), Access Control and Trust (4 papers), Service-Oriented Architecture and Web Services (4 papers), Data Management and Algorithms (4 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Information Systems (156 citations), Management Information Systems (60 citations), Artificial Intelligence (141 citations), Management Science and Operations Research (52 citations) and Computer Networks and Communications (87 citations). Torsten Priebe has collaborated with scholars based in Germany, Austria and Hungary. Frequent co-authors include Günther Pernul, Thomas Hädrich, Sebastian Neumaier, Rui Neves Madeira, Fabio Martinelli, A Min Tjoa, Michael Hölzer, Francesco Mercaldo, Antonella Santone and Kamran Sharifabadi. Their work appears in journals such as Journal of the Association for Information Systems, IEEE Power and Energy Magazine, International Journal on Semantic Web and Information Systems, The Journal of Engineering and Journal of Software.

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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