Mads Dam

40 papers and 439 indexed citations i.

About

Mads Dam is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Mads Dam has authored 40 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 12 papers in Computational Theory and Mathematics. Recurrent topics in Mads Dam’s work include Security and Verification in Computing (18 papers), Logic, programming, and type systems (13 papers) and Distributed systems and fault tolerance (12 papers). Mads Dam is often cited by papers focused on Security and Verification in Computing (18 papers), Logic, programming, and type systems (13 papers) and Distributed systems and fault tolerance (12 papers). Mads Dam collaborates with scholars based in Sweden, United Kingdom and Germany. Mads Dam's co-authors include Roberto Guanciale, Musard Balliu, Rolf Stadler, Fetahi Wuhib, Alessio Lomuscio, Gurvan Le Guernic, Oliver Schwarz, Narges Khakpour, Francesco Russo and Karl Palmskog and has published in prestigious journals such as Computer Networks, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Mads Dam i

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.

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).

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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