Markulf Kohlweiss

6.1k citations
42 papers · 1.2k indexed · h-index 19

Markulf Kohlweiss

41 papers receiving 1.1k citations

Peers

Markulf Kohlweiss
Comparison fields: 5 of 52
  • Artificial Intelligence 901
  • Information Systems 522
  • Computer Networks and Communications 366
  • Software 53
  • Signal Processing 141
Replace Matteo Maffei with:
Matteo Maffei Germany
Birgit Pfitzmann United States
Srinath Setty United States
Bill Roscoe United Kingdom
Riccardo Focardi Italy
Stuart G. Stubblebine United States
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Citations per year

Countries citing papers authored by Markulf Kohlweiss

Since Specialization
Citations

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

Fields of papers citing papers by Markulf Kohlweiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20218
3 201748
4 201719
5 201618
6 201629
7 201610
8 20164
9 201510
10 201363
11
Differentially Private Billing with Rebates
20111
12
Scramble! your social network data
20115
13 201136
14
Blind and Anonymous Identity-Based Encryption and Authorised Private Searches on Public Key Encrypted Data
20094
15
Universally Composable Adaptive Priced Oblivious Transfer
20091
16
Randomizable Proofs and Delegatable Anonymous Credentials
200958
17 200914
18 20092
19
An Accumulator Based on Bilinear Maps and Efficient Revocation for Anonymous Credentials.
20081
20 2006127

About Markulf Kohlweiss

Markulf Kohlweiss is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Privacy-Preserving Technologies in Data (12 papers), Blockchain Technology Applications and Security (12 papers), Advanced Authentication Protocols Security (6 papers), Complexity and Algorithms in Graphs (5 papers), Cryptographic Implementations and Security (4 papers) and User Authentication and Security Systems (4 papers). The work is most often cited by research in Artificial Intelligence (901 citations), Information Systems (522 citations) and Computer Networks and Communications (366 citations). Markulf Kohlweiss has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Cédric Fournet, Pierre-Yves Strub, Karthikeyan Bhargavan, Anna Lysyanskaya, Jan Camenisch, George Danezis, Bryan Parno, A. Pironti, Antoine Delignat-Lavaud and Sarah Meiklejohn. Their work appears in journals such as Journal of Cryptology, International Journal of Information Security, Journal of Computer Security, Communications of the ACM and ACM SIGPLAN Notices.

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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