Radu State

5.3k total citations · 1 hit paper
191 papers, 2.5k citations indexed

About

Radu State is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Radu State has authored 191 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Networks and Communications, 72 papers in Artificial Intelligence and 61 papers in Information Systems. Recurrent topics in Radu State's work include Network Security and Intrusion Detection (60 papers), Advanced Malware Detection Techniques (35 papers) and Blockchain Technology Applications and Security (29 papers). Radu State is often cited by papers focused on Network Security and Intrusion Detection (60 papers), Advanced Malware Detection Techniques (35 papers) and Blockchain Technology Applications and Security (29 papers). Radu State collaborates with scholars based in Luxembourg, France and United States. Radu State's co-authors include Christof Ferreira Torres, Thomas Engel, Julian Schütte, Olivier Festor, Wazen M. Shbair, Robert Norvill, Samuel Marchal, Mathis Steichen, Jérôme François and Jorge Augusto Meira and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Radu State

177 papers receiving 2.4k citations

Hit Papers

Osiris 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radu State Luxembourg 23 1.3k 1.2k 898 744 394 191 2.5k
Alberto Coen‐Porisini Italy 20 1.1k 0.8× 1.6k 1.3× 692 0.8× 432 0.6× 268 0.7× 75 2.5k
Massimo Ficco Italy 27 981 0.7× 1.4k 1.2× 664 0.7× 507 0.7× 340 0.9× 98 2.2k
Deqing Zou China 28 1.5k 1.1× 1.3k 1.1× 906 1.0× 950 1.3× 135 0.3× 202 2.7k
Patrick Traynor United States 29 1.4k 1.1× 1.5k 1.2× 1.3k 1.5× 1.4k 1.9× 266 0.7× 109 2.9k
Ahmad Karim Pakistan 14 665 0.5× 848 0.7× 636 0.7× 369 0.5× 168 0.4× 26 1.7k
Sudarshan S. Chawathe United States 17 896 0.7× 1.4k 1.2× 1.1k 1.3× 729 1.0× 203 0.5× 74 2.3k
Nicola Dragoni Denmark 23 1.0k 0.7× 1.6k 1.3× 661 0.7× 502 0.7× 516 1.3× 106 2.5k
Boon Thau Loo United States 28 1.2k 0.9× 2.9k 2.4× 756 0.8× 268 0.4× 290 0.7× 185 3.3k
Ivano Malavolta Netherlands 26 1.4k 1.0× 1.1k 0.9× 927 1.0× 178 0.2× 248 0.6× 133 2.3k
Khaled M. Khan Qatar 16 951 0.7× 823 0.7× 793 0.9× 302 0.4× 89 0.2× 90 1.7k

Countries citing papers authored by Radu State

Since Specialization
Citations

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

Fields of papers citing papers by Radu State

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radu State

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

All Works

20 of 20 papers shown
1.
Li, Lujun, et al.. (2025). Exploring the Impact of Temperature on Large Language Models: Hot or Cold?. Procedia Computer Science. 264. 242–251. 2 indexed citations
2.
François, Jérôme, et al.. (2024). BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models. SPIRE - Sciences Po Institutional REpository. 21–33. 1 indexed citations
3.
Meira, Jorge Augusto, et al.. (2024). A 9-dimensional Analysis of GossipSub over the XRP Ledger Consensus Protocol. Open Repository and Bibliography (University of Luxembourg). 1–7. 1 indexed citations
4.
State, Radu, et al.. (2024). Cross-Sector Market Regime Forecasting with LLM-Augmented News Analysis. City Research Online (City University London). 461–468. 1 indexed citations
5.
Meira, Jorge Augusto, et al.. (2024). Causal AI for XRPL/GossipSub network configuration. Open Repository and Bibliography (University of Luxembourg). 1–5.
6.
Husák, Martin, et al.. (2023). A review on graph-based approaches for network security monitoring and botnet detection. International Journal of Information Security. 23(1). 119–140. 14 indexed citations
7.
Seba, Hamida, et al.. (2023). G-HIN2Vec: Distributed heterogeneous graph representations for cardholder transactions. SPIRE - Sciences Po Institutional REpository. 528–535. 2 indexed citations
8.
Huang, Hui, et al.. (2023). Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study. Remote Sensing. 15(20). 4962–4962. 5 indexed citations
9.
State, Radu, et al.. (2021). What database do you choose for heterogeneous security log events analysis. Integrated Network Management. 812–817. 1 indexed citations
10.
Rivera, Sean & Radu State. (2021). Securing Robots: An Integrated Approach for Security Challenges and Monitoring for the Robotic Operating System (ROS). Integrated Network Management. 754–759. 2 indexed citations
11.
Khramtsova, Ekaterina, et al.. (2020). Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. Open Repository and Bibliography (University of Luxembourg). 1316–1321. 13 indexed citations
12.
Meira, Jorge Augusto, et al.. (2020). Towards Privacy Preserving Data Centric Super App. Open Repository and Bibliography (University of Luxembourg). 1–4. 1 indexed citations
13.
State, Radu, et al.. (2019). Lightning Network: A Comparative Review of Transaction Fees and Data Analysis. Advances in intelligent systems and computing. 11–18. 18 indexed citations
14.
State, Radu, et al.. (2019). Graph-based malicious login events investigation. Immunotechnology. 63–66. 3 indexed citations
15.
State, Radu, et al.. (2019). An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles. Immunotechnology. 37–42. 2 indexed citations
16.
State, Radu, et al.. (2018). Detecting malicious authentication events trustfully. 1–6. 15 indexed citations
17.
Marchal, Samuel, et al.. (2017). Advanced Interest Flooding Attacks in Named-Data Networking. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Marchal, Samuel, et al.. (2016). Behavioral Clustering of Non-Stationary IP Flow Record Data. 297–301. 8 indexed citations
19.
State, Radu, et al.. (2013). Aggregating large-scale measurements for Application Layer Traffic Optimization (ALTO) Protocol. Open Repository and Bibliography (University of Luxembourg). 1 indexed citations
20.
Ries, Thorsten, Andriy Panchenko, Radu State, & Thomas Engel. (2011). Comparison of low-latency anonymous communication systems: practical usage and performance. Open Repository and Bibliography (University of Luxembourg). 77–86. 6 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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