Kim S. Larsen

102 papers and 1.1k indexed citations i.

About

Kim S. Larsen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Kim S. Larsen has authored 102 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 18 papers in Computational Theory and Mathematics. Recurrent topics in Kim S. Larsen’s work include Optimization and Search Problems (40 papers), Algorithms and Data Compression (12 papers) and Auction Theory and Applications (10 papers). Kim S. Larsen is often cited by papers focused on Optimization and Search Problems (40 papers), Algorithms and Data Compression (12 papers) and Auction Theory and Applications (10 papers). Kim S. Larsen collaborates with scholars based in Denmark, Canada and United States. Kim S. Larsen's co-authors include Joan Boyar, Lene M. Favrholdt, P Dombernowsky, Nissen Ni, Morten Nielsen, Sanne Wøhlk, Shahin Kamali, Rolf Fagerberg, Alejandro López‐Ortiz and R. J. Joost van Neerven and has published in prestigious journals such as European Journal of Operational Research, Journal of the American Geriatrics Society and BMJ.

In The Last Decade

Co-authorship network of co-authors of Kim S. Larsen i

Fields of papers citing papers by Kim S. Larsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim S. Larsen. 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 Kim S. Larsen. The network helps show where Kim S. Larsen may publish in the future.

Countries citing papers authored by Kim S. Larsen

Since Specialization
Citations

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