Mads Dam

2.0k citations
60 papers · 780 · h-index 17

Impact in

    • Advanced Malware Detection Techniques
    • Security and Verification in Computing
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge

Papers in

Mads Dam

56 papers receiving 691 citations

Peers

Mads Dam
Comparison fields: 5 of 38
  • Signal Processing 189
  • Artificial Intelligence 556
  • Computer Networks and Communications 350
  • Software 55
  • Computational Theory and Mathematics 228
Replace Pierre-Yves Strub with:
Pierre-Yves Strub France
David A. Naumann United States
Toby Murray Australia
Michael R. Clarkson United States
Iliano Cervesato United States
Drew Dean United States
François Pottier France
Luı́s Caires Portugal
Rodney Topor Australia
Jon G. Riecke United States
Mads Dam relative to Pierre-Yves Strub France Pierre-Yves Strub's profile →
Citations per field
00.5×1.5×1.8×
Pierre-Yves Strub · 1×
Citations per year

Countries citing papers authored by Mads Dam

Since Specialization
Citations

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

Fields of papers citing papers by Mads Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mads Dam, 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 Mads Dam Line = papers co-authored together Mads Dam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199476
2
A GENERIC PROTOCOL FOR NETWORK STATE AGGREGATION
200546
3 201645
4 201341
5 199638
6 202032
7 200526
8 200725
9 200923
10 200723
11 199722
12 201422
13 200322
14 200820
15 201119
16 199718
17 200416
18 200316
19
Logical Omniscience in the Semantics of BAN Logics
200315
20 201215

About Mads Dam

Mads Dam is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Signal Processing and Information Systems, having authored 60 papers that have together received 780 indexed citations. Recurring topics across this work include Security and Verification in Computing (25 papers), Logic, programming, and type systems (19 papers), Distributed systems and fault tolerance (16 papers), Formal Methods in Verification (15 papers), Advanced Malware Detection Techniques (14 papers), Peer-to-Peer Network Technologies (11 papers), Logic, Reasoning, and Knowledge (11 papers) and Caching and Content Delivery (5 papers). The work is most often cited by research in Signal Processing (189 citations), Artificial Intelligence (556 citations), Computer Networks and Communications (350 citations), Software (55 citations) and Computational Theory and Mathematics (228 citations). Mads Dam has collaborated with scholars based in Sweden, United Kingdom and Belgium. Frequent co-authors include Rolf Stadler, Roberto Guanciale, Fetahi Wuhib, Musard Balliu, Gurvan Le Guernic, Dilian Gurov, Lars‐Åke Fredlund, Oliver Schwarz, Narges Khakpour and Karl Palmskog. Their work appears in journals such as Journal of Computer Security, Journal of Logic and Computation, Theoretical Computer Science, IEEE Transactions on Network and Service Management and Information and Computation.

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.

Explore authors with similar magnitude of impact