Mika Juuti

About

Mika Juuti is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Mika Juuti has authored 5 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Molecular Biology. Recurrent topics in Mika Juuti’s work include Adversarial Robustness in Machine Learning (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Cryptography and Data Security (1 paper). Mika Juuti is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Cryptography and Data Security (1 paper). Mika Juuti collaborates with scholars based in Finland, Italy and United States. Mika Juuti's co-authors include N. Asokan, Jian Liu, Yao Lu, Tommi Gröndahl, Luca Pajola, Mauro Conti, Adrian Flanagan, Nitesh Saxena, Juha Karhunen and Prakash Shrestha and has published in prestigious journals such as Neurocomputing, Aaltodoc (Aalto University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Mika Juuti i

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Fields of papers citing papers by Mika Juuti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mika Juuti

Since Specialization

Citations

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