Liina Kamm

25 total papers · 673 total citations
12 papers, 320 citations indexed

About

Liina Kamm is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Liina Kamm has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Liina Kamm's work include Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers) and Genetic Associations and Epidemiology (2 papers). Liina Kamm is often cited by papers focused on Cryptography and Data Security (7 papers), Privacy-Preserving Technologies in Data (5 papers) and Genetic Associations and Epidemiology (2 papers). Liina Kamm collaborates with scholars based in Estonia, Israel and Cyprus. Liina Kamm's co-authors include Dan Bogdanov, Jan Willemson, Sven Laur, Jaak Vilo, Nigel P. Smart, Yehuda Lindell, Rebecca N. Wright, Kurt Nielsen, David W. Archer and Jakob Pagter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Liina Kamm

10 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Liina Kamm 264 78 65 39 31 12 320
João Sá Sousa 214 0.8× 61 0.8× 14 0.2× 35 0.9× 44 1.4× 11 289
Md Momin Al Aziz 259 1.0× 78 1.0× 21 0.3× 15 0.4× 69 2.2× 24 334
Diyue Bu 189 0.7× 39 0.5× 17 0.3× 16 0.4× 61 2.0× 11 247
Andrey Kim 193 0.7× 43 0.6× 43 0.7× 39 1.0× 8 0.3× 11 252
Seongsoon Kim 151 0.6× 136 1.7× 21 0.3× 30 0.8× 6 0.2× 15 331
Pascal Berrang 169 0.6× 45 0.6× 5 0.1× 15 0.4× 28 0.9× 16 217
Zhanglong Ji 246 0.9× 30 0.4× 4 0.1× 13 0.3× 68 2.2× 12 342
A. Tsakalidis 81 0.3× 57 0.7× 29 0.4× 44 1.1× 2 0.1× 18 250
Branko Kavšek 213 0.8× 223 2.9× 93 1.4× 23 0.6× 2 0.1× 17 355
Simona Rabinovici‐Cohen 130 0.5× 76 1.0× 22 0.3× 83 2.1× 10 0.3× 20 335

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).

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.

Co-authorship network of co-authors of Liina Kamm

This figure shows the co-authorship network connecting the top 25 collaborators of Liina Kamm. A scholar is included among the top collaborators of Liina Kamm 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 Liina Kamm. Liina Kamm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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