Birgit Pfitzmann

6.0k citations
127 papers · 4.3k · h-index 36

Impact in

Papers in

Birgit Pfitzmann

116 papers receiving 3.9k citations

Peers

Birgit Pfitzmann
Comparison fields: 5 of 67
  • Artificial Intelligence 3.5k
  • Computer Networks and Communications 1.6k
  • Information Systems 1.6k
  • Computer Vision and Pattern Recognition 787
  • Computational Theory and Mathematics 528
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Pfitzmann

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Pfitzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Birgit Pfitzmann, 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 Birgit Pfitzmann Line = papers co-authored together Birgit Pfitzmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997429
2 2000218
3 2003197
4 1991185
5 1992154
6 1996148
7 1997121
8 1996101
9 1995100
10
From Regulatory Policies to Event Monitoring Rules: Towards Model-Driven Compliance Automation
200695
11 200488
12
ISDN-MIXes: Untraceable Communication with Small Bandwidth Overhead
199182
13 199781
14 200778
15
A Universally Composable Cryptographic Library
200377
16
Regulations Expressed As Logical Models (REALM)
200576
17 202273
18 200373
19 200768
20 199464

About Birgit Pfitzmann

Birgit Pfitzmann is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 127 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cryptography and Data Security (73 papers), Advanced Authentication Protocols Security (29 papers), Cryptographic Implementations and Security (27 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Security and Verification in Computing (16 papers), Chaos-based Image/Signal Encryption (14 papers), User Authentication and Security Systems (12 papers) and Access Control and Trust (11 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Networks and Communications (1.6k citations), Information Systems (1.6k citations), Computer Vision and Pattern Recognition (787 citations) and Computational Theory and Mathematics (528 citations). Birgit Pfitzmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Michael Waidner, Michael Backes, Matthias Schunter, Andreas Pfitzmann, Ahmad‐Reza Sadeghi, Torben Pedersen, Samuel Müller, David Chaum, Ivan Damgård and Michael Backes. Their work appears in journals such as Lecture notes in computer science, International Journal of Information Security, Journal of Computer Security, SIAM Journal on Computing and Journal of Cryptology.

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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