Kim Laine

16 papers and 890 indexed citations i.

About

Kim Laine is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kim Laine has authored 16 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kim Laine’s work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (9 papers) and Cryptographic Implementations and Security (4 papers). Kim Laine is often cited by papers focused on Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (9 papers) and Cryptographic Implementations and Security (4 papers). Kim Laine collaborates with scholars based in United States, United Kingdom and Switzerland. Kim Laine's co-authors include Kristin Lauter, Ran Gilad-Bachrach, Hao Chen, Nathan Dowlin, Michael Naehrig, John Wernsing, Peter Rindal, Zhicong Huang, Srinath Setty and Sebastian Angel and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and BMC Medical Genomics.

In The Last Decade

Co-authorship network of co-authors of Kim Laine i

Fields of papers citing papers by Kim Laine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Laine

Since Specialization
Citations

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