Viggo Kann

27 papers and 2.1k indexed citations i.

About

Viggo Kann is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Education. According to data from OpenAlex, Viggo Kann has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 6 papers in Education. Recurrent topics in Viggo Kann’s work include Combinatorial Optimization and Complexity Theory (11 papers), Advanced Graph Theory Research (7 papers) and Natural Language Processing Techniques (5 papers). Viggo Kann is often cited by papers focused on Combinatorial Optimization and Complexity Theory (11 papers), Advanced Graph Theory Research (7 papers) and Natural Language Processing Techniques (5 papers). Viggo Kann collaborates with scholars based in Sweden, Italy and United States. Viggo Kann's co-authors include E. Amaldi, Pierluigi Crescenzi, Giorgio Gambosi, Marco Protasi, Giorgio Ausiello, Paola Alimonti, Alberto Marchetti-Spaccamela, Riccardo Silvestri, Luca Trevisan and Jens Lagergren and has published in prestigious journals such as Computers & Mathematics with Applications, SIAM Journal on Computing and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Viggo Kann i

Fields of papers citing papers by Viggo Kann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Viggo Kann

Since Specialization
Citations

This map shows the geographic impact of Viggo Kann'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 Viggo Kann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viggo Kann 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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2025