Mads Dam

2.0k citations
100 papers · 1.5k · h-index 23

Impact in

Papers in

    • Logic, programming, and type systems 40
    • Security and Verification in Computing 39
    • Logic, Reasoning, and Knowledge 20
    • Distributed systems and fault tolerance 26
    • Peer-to-Peer Network Technologies 11
    • Network Security and Intrusion Detection 6

Mads Dam

95 papers receiving 1.4k citations

Peers

Mads Dam
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 596
  • Artificial Intelligence 1.2k
  • Software 135
  • Signal Processing 310
  • Computer Networks and Communications 586
Replace David A. Naumann with:
David A. Naumann United States
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Luı́s Caires Portugal
Michaël Rusinowitch France
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Citations per field
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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 25 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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994125
2 199670
3
A GENERIC PROTOCOL FOR NETWORK STATE AGGREGATION
200559
4 201357
5 200353
6 201651
7 199740
8 201139
9 202036
10 200536
11 199330
12 200328
13 201428
14 200728
15 199727
16 200827
17 200927
18 200727
19 201226
20 200926

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 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Logic, programming, and type systems (40 papers), Security and Verification in Computing (39 papers), Formal Methods in Verification (32 papers), Distributed systems and fault tolerance (26 papers), Logic, Reasoning, and Knowledge (20 papers), Advanced Malware Detection Techniques (18 papers), Peer-to-Peer Network Technologies (11 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Computational Theory and Mathematics (596 citations), Artificial Intelligence (1.2k citations), Software (135 citations), Signal Processing (310 citations) and Computer Networks and Communications (586 citations). Mads Dam has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Roberto Guanciale, Rolf Stadler, Musard Balliu, Dilian Gurov, Christoph Sprenger, Fetahi Wuhib, Gurvan Le Guernic, Oliver Schwarz, Lars‐Åke Fredlund and Thomas Arts. Their work appears in journals such as Lecture notes in computer science, Theoretical Computer Science, Journal of Logic and Computation, 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.

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