Liina Kamm

7 papers and 244 indexed citations i.

About

Liina Kamm is a scholar working on Artificial Intelligence, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Liina Kamm has authored 7 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Cancer Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Liina Kamm’s work include Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Genetic Associations and Epidemiology (2 papers). Liina Kamm is often cited by papers focused on Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Genetic Associations and Epidemiology (2 papers). Liina Kamm collaborates with scholars based in Estonia, United States and Belgium. Liina Kamm's co-authors include Dan Bogdanov, Sven Laur, Jan Willemson, Jaak Vilo, Rebecca N. Wright, David W. Archer, Yehuda Lindell, Jakob Pagter, Kurt Nielsen and Nigel P. Smart and has published in prestigious journals such as Bioinformatics, The Computer Journal and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Co-authorship network of co-authors of Liina Kamm i

Fields of papers citing papers by Liina Kamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liina Kamm

Since Specialization
Citations

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