Jan Cederquist

414 citations
9 papers · 77 · h-index 5

Impact in

Papers in

Jan Cederquist

9 papers receiving 68 citations

Peers

Jan Cederquist
Comparison fields: 5 of 15
  • Artificial Intelligence 53
  • Information Systems 32
  • Computer Networks and Communications 32
  • Sociology and Political Science 40
  • Signal Processing 5
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Anya Kim United States
Chris Culnane United Kingdom
Romaric Ludinard France
Santosh Chokhani United States
Dominik Haneberg Germany
Chris Lesniewski-Laas United States
Carlos Luna Uruguay
Ciarán Bryce Switzerland
Jürgen Schlegelmilch Germany
Julien P. Stern France
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Citations per field
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Citations per year

Countries citing papers authored by Jan Cederquist

Since Specialization
Citations

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

Fields of papers citing papers by Jan Cederquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jan Cederquist, 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 Jan Cederquist Line = papers co-authored together Jan Cederquist links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200738
2 200613
3 20079
4 20055
5
The Audit Logic: Policy Compliance in Distributed Systems
20064
6
An intruder model for verifying termination in security protocols
20053
7 20073
8 20111
9 20141

About Jan Cederquist

Jan Cederquist is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Information Systems and Signal Processing, having authored 9 papers that have together received 77 indexed citations. Recurring topics across this work include Access Control and Trust (5 papers), Security and Verification in Computing (5 papers), Cryptography and Data Security (4 papers), Advanced Authentication Protocols Security (3 papers), User Authentication and Security Systems (3 papers), Distributed systems and fault tolerance (2 papers), Advanced Malware Detection Techniques (2 papers) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Artificial Intelligence (53 citations), Information Systems (32 citations), Computer Networks and Communications (32 citations), Sociology and Political Science (40 citations) and Signal Processing (5 citations). Jan Cederquist has collaborated with scholars based in Netherlands, Portugal and United Kingdom. Frequent co-authors include Mohammad Torabi Dashti, Sandro Etalle, Ricardo Corin, Gabriele Lenzini, Sjouke Mauw, Jerry den Hartog and Julian M. Crampton. Their work appears in journals such as International Journal of Information Security, Mathematical Structures in Computer Science, University of Twente Research Information, TU/e Research Portal and Open Repository and Bibliography (University of Luxembourg).

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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