Mads Dam
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Information Systems top 5%
- Co-authors
- Rolf StadlerRoberto GuancialeFetahi WuhibMusard BalliuGurvan Le GuernicLars‐Åke FredlundDilian GurovOliver Schwarz
- Topics
- Security and Verification in Computing (25 papers)Logic, programming, and type systems (19 papers)Distributed systems and fault tolerance (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer NetworksTheoretical Computer Science
- Partner nations
- SwedenUnited KingdomBelgium
In The Last Decade
Mads Dam
56 papers receiving 691 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 556
- Computer Networks and Communications 350
- Computational Theory and Mathematics 228
- Signal Processing 189
- Information Systems 169
Countries citing papers authored by Mads Dam
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
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-authorship network of co-authors of Mads Dam
This figure shows the co-authorship network connecting the top 25 collaborators of Mads Dam. A scholar is included among the top collaborators of Mads Dam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mads Dam. Mads Dam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | Scalable metadata-directed search in a network of information | 5 |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | Logical Omniscience in the Semantics of BAN Logics | 15 |
| 9 | A note on global induction in a µ-calculus with explicit approximations | 1 |
| 10 | 2 | |
| 11 | 14 | |
| 12 | A research agenda for distributed policy-based management | 5 |
| 13 | mu-Calculus with explicit points and approximations | 2 |
| 14 | Compositional verification of Erlang programs | 1 |
| 15 | Toward Parametric Verification of Open Distributed Systems | 9 |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 18 | |
| 19 | 38 | |
| 20 | 76 |
About Mads Dam
Mads Dam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing, 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) and Distributed systems and fault tolerance (16 papers). The work is most often cited by research in Signal Processing (189 citations), Artificial Intelligence (556 citations) and Computer Networks and Communications (350 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, Lars‐Åke Fredlund, Dilian Gurov, Oliver Schwarz, Narges Khakpour and Karl Palmskog. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Networks and Theoretical Computer Science.
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.