Luca Pajola

717 total citations
20 papers, 359 citations indexed

About

Luca Pajola is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Luca Pajola has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Information Systems. Recurrent topics in Luca Pajola's work include Advanced Malware Detection Techniques (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Luca Pajola is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Hate Speech and Cyberbullying Detection (4 papers). Luca Pajola collaborates with scholars based in Italy, Netherlands and United States. Luca Pajola's co-authors include Mauro Conti, N. Asokan, Tommi Gröndahl, Mika Juuti, Giovanni Apruzzese, Tsung-Nan Lin, Pallavi Kaliyar, Luciano Gamberini, Stjepan Picek and Robert Baumgartner and has published in prestigious journals such as IEEE Access, IEEE Intelligent Systems and Genes.

In The Last Decade

Luca Pajola

18 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Luca Pajola Italy	8	231	152	94	69	30	20	359
Femi Emmanuel Ayo Nigeria	9	210 0.9×	107 0.7×	95 1.0×	60 0.9×	11 0.4×	22	293
Mobin Javed United States	11	249 1.1×	215 1.4×	94 1.0×	124 1.8×	10 0.3×	26	395
Enrico Mariconti United Kingdom	9	136 0.6×	257 1.7×	285 3.0×	183 2.7×	7 0.2×	23	448
Georgios Pitsilis United Kingdom	7	227 1.0×	115 0.8×	60 0.6×	152 2.2×	8 0.3×	11	329
Mark Gondree United States	10	165 0.7×	120 0.8×	41 0.4×	196 2.8×	13 0.4×	16	316
Irfan‐Ullah Awan United Kingdom	9	130 0.6×	143 0.9×	56 0.6×	124 1.8×	13 0.4×	21	288
Abdelkader El Mahdaouy Morocco	10	274 1.2×	71 0.5×	30 0.3×	46 0.7×	12 0.4×	28	306
Akira Yamada Japan	10	157 0.7×	239 1.6×	134 1.4×	174 2.5×	3 0.1×	40	408
Tavish Vaidya United States	7	240 1.0×	77 0.5×	165 1.8×	114 1.7×	6 0.2×	12	334
Zinaida Benenson Germany	12	82 0.4×	273 1.8×	83 0.9×	211 3.1×	12 0.4×	44	442

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).

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.

Co-authorship network of co-authors of Luca Pajola

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

All Works

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20 of 20 papers shown

Pajola, Luca, et al.. (2025). The Hidden Threat in Plain Text: Attacking RAG Data Loaders. 170–181.

Pajola, Luca, et al.. (2024). "All of Me": Mining Users' Attributes from their Public Spotify Playlists. Research Padua Archive (University of Padua). 963–966. 1 indexed citations

Conti, Mauro, et al.. (2024). Offensive AI: Enhancing Directory Brute-forcing Attack with the Use of Language Models. 184–195. 1 indexed citations

Pajola, Luca & Mauro Conti. (2024). Lights Toward Adversarial Machine Learning: The Achilles Heel of Artificial Intelligence. IEEE Intelligent Systems. 39(5). 20–24. 1 indexed citations

Pajola, Luca, et al.. (2024). Can LLMs Understand Computer Networks? Towards a Virtual System Administrator. Research Padua Archive (University of Padua). 1–10. 7 indexed citations

Conti, Mauro, et al.. (2023). Turning captchas against humanity: Captcha-based attacks in online social media. Research Padua Archive (University of Padua). 36. 100252–100252. 3 indexed citations

Pajola, Luca, et al.. (2023). The Impact of Covid-19 on Online Discussions: the Case Study of the Sanctioned Suicide Forum. Research Padua Archive (University of Padua). 4060–4064. 1 indexed citations

Pajola, Luca, et al.. (2023). You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality. IEEE Access. 11. 9859–9875. 33 indexed citations

Pajola, Luca, et al.. (2023). Going in Style: Audio Backdoors Through Stylistic Transformations. Research Repository (Delft University of Technology). 1–5. 15 indexed citations

10.

Pajola, Luca, et al.. (2023). A Novel Review Helpfulness Measure Based on the User-Review-Item Paradigm. ACM Transactions on the Web. 17(4). 1–31. 2 indexed citations

11.

Conti, Mauro, et al.. (2023). Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability. Open Repository and Bibliography (University of Luxembourg). 315–329. 4 indexed citations

12.

Pajola, Luca, et al.. (2023). SoK: Explainable Machine Learning for Computer Security Applications. Research Repository (Delft University of Technology). 221–240. 28 indexed citations

13.

Amerini, Irene, et al.. (2022). PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart. 2022 International Joint Conference on Neural Networks (IJCNN). 1–7. 2 indexed citations

14.

Apruzzese, Giovanni, Luca Pajola, & Mauro Conti. (2022). The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems. IEEE Transactions on Network and Service Management. 19(4). 5152–5169. 63 indexed citations

15.

Conti, Mauro, et al.. (2021). DETONAR: Detection of Routing Attacks in RPL-Based IoT. IEEE Transactions on Network and Service Management. 18(2). 1178–1190. 69 indexed citations

16.

Pajola, Luca, et al.. (2021). Looking Through Walls: Inferring Scenes from Video-Surveillance Encrypted Traffic. Research Padua Archive (University of Padua). 11. 2595–2599. 2 indexed citations

17.

Conti, Mauro, et al.. (2020). Fake News Spreaders Profiling Through Behavioural Analysis. Research Padua Archive (University of Padua). 3 indexed citations

18.

Pajola, Luca, et al.. (2019). Threat is in the Air. Research Padua Archive (University of Padua). 16–21. 6 indexed citations

19.

Gröndahl, Tommi, Luca Pajola, Mika Juuti, Mauro Conti, & N. Asokan. (2018). All You Need is "Love". Aaltodoc (Aalto University). 2–12. 109 indexed citations

20.

Stevanato, Piergiorgio, Chiara Broccanello, Luca Pajola, et al.. (2017). Targeted Next-Generation Sequencing Identification of Mutations in Disease Resistance Gene Analogs (RGAs) in Wild and Cultivated Beets. Genes. 8(10). 264–264. 9 indexed citations

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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