Luca Pajola

15 papers and 235 indexed citations i.

About

Luca Pajola is a scholar working on Artificial Intelligence, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Luca Pajola has authored 15 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Signal Processing and 4 papers in Sociology and Political Science. Recurrent topics in Luca Pajola’s work include Advanced Malware Detection Techniques (8 papers), Adversarial Robustness in Machine Learning (4 papers) and Network Security and Intrusion Detection (3 papers). Luca Pajola is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Adversarial Robustness in Machine Learning (4 papers) and Network Security and Intrusion Detection (3 papers). Luca Pajola collaborates with scholars based in Italy, The Netherlands and United States. Luca Pajola's co-authors include Mauro Conti, Mika Juuti, Tommi Gröndahl, N. Asokan, Giovanni Apruzzese, Pallavi Kaliyar, Tsung-Nan Lin, Luciano Gamberini, Stjepan Picek and Robert Baumgartner and has published in prestigious journals such as IEEE Access, Genes and IEEE Transactions on Network and Service Management.

In The Last Decade

Co-authorship network of co-authors of Luca Pajola i

Fields of papers citing papers by Luca Pajola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Luca Pajola

Since Specialization
Citations

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