Stavros Papadopoulos

3.5k total citations
78 papers, 1.7k citations indexed

About

Stavros Papadopoulos is a scholar working on Computer Networks and Communications, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Stavros Papadopoulos has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 24 papers in Artificial Intelligence and 17 papers in Nuclear and High Energy Physics. Recurrent topics in Stavros Papadopoulos's work include Particle physics theoretical and experimental studies (17 papers), High-Energy Particle Collisions Research (16 papers) and Quantum Chromodynamics and Particle Interactions (16 papers). Stavros Papadopoulos is often cited by papers focused on Particle physics theoretical and experimental studies (17 papers), High-Energy Particle Collisions Research (16 papers) and Quantum Chromodynamics and Particle Interactions (16 papers). Stavros Papadopoulos collaborates with scholars based in Greece, Hong Kong and Canada. Stavros Papadopoulos's co-authors include Dimitris Papadias, Yin Yang, A. P. Contogouris, Georgios Kellaris, Dimitrios Tzovaras, Anastasios Drosou, Spiridon Bakiras, Aggelos Kiayias, Xiaokui Xiao and George Kollios and has published in prestigious journals such as Nuclear Physics B, Physics Letters B and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Stavros Papadopoulos

76 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stavros Papadopoulos Greece 24 990 545 360 353 220 78 1.7k
Tong Li China 21 1.1k 1.2× 516 0.9× 186 0.5× 596 1.7× 251 1.1× 85 2.1k
Stephen Kelley United States 10 729 0.7× 817 1.5× 1.0k 2.8× 346 1.0× 83 0.4× 22 2.5k
Lei Zhao China 21 697 0.7× 282 0.5× 252 0.7× 418 1.2× 6 0.0× 156 1.4k
Lingyu Wang Canada 28 854 0.9× 1.6k 2.9× 811 2.3× 1.6k 4.4× 16 0.1× 138 2.8k
Juan Carlos De Martin Italy 19 287 0.3× 652 1.2× 431 1.2× 546 1.5× 22 0.1× 88 1.5k
Daniel Lemire Canada 20 675 0.7× 526 1.0× 390 1.1× 647 1.8× 4 0.0× 75 1.5k
Guangshun Li China 17 233 0.2× 548 1.0× 28 0.1× 295 0.8× 48 0.2× 79 1.2k
Thomas Schneider Germany 26 2.4k 2.4× 345 0.6× 159 0.4× 659 1.9× 5 0.0× 162 3.0k
Liang Xiong China 14 543 0.5× 331 0.6× 121 0.3× 478 1.4× 5 0.0× 38 1.3k

Countries citing papers authored by Stavros Papadopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Stavros Papadopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stavros Papadopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Papadopoulos. A scholar is included among the top collaborators of Stavros Papadopoulos 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 Stavros Papadopoulos. Stavros Papadopoulos 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.
Zamichos, Alexandros, et al.. (2023). User Profile-aware Daily Activity Prediction. 42. 1–5.
2.
Papadopoulos, Stavros, et al.. (2023). AI-enabled Underground Water Pipe non -destructive Inspection. Multimedia Tools and Applications. 83(6). 18309–18332. 6 indexed citations
3.
Papadopoulos, Stavros, Nikolaos Dimitriou, Anastasios Drosou, & Dimitrios Tzovaras. (2021). Modelling spatio-temporal ageing phenomena with deep Generative Adversarial Networks. Signal Processing Image Communication. 94. 116200–116200. 6 indexed citations
4.
Gelenbe, Erol, et al.. (2020). IoT Network Attack Detection and Mitigation. Zenodo (CERN European Organization for Nuclear Research). 1–6. 27 indexed citations
5.
Papadopoulos, Stavros, et al.. (2019). Intrusion Detection System Based on Network Traffic Using Deep Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 1–6. 12 indexed citations
6.
Papadopoulos, Stavros, et al.. (2019). Slice-aware Resource Orchestration of an Elastic 5G Network via Evolutionary Algorithms. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Papadopoulos, Stavros, et al.. (2019). Runtime and Routing Security Policy Verification for Enhanced Quality of Service of IoT Networks. Zenodo (CERN European Organization for Nuclear Research). 2. 1–6. 2 indexed citations
8.
Papadopoulos, Stavros, Anastasios Drosou, & Dimitrios Tzovaras. (2018). Modelling of Material Ageing with Generative Adversarial Networks. 1–5. 2 indexed citations
9.
Dimitriou, Nikolaos, Stavros Papadopoulos, Anastasios Drosou, & Dimitrios Tzovaras. (2018). A 3D-CNN Approach for the Spatio-Temporal Modeling of Surface Deterioration Phenomena. 35. 1–5. 5 indexed citations
10.
Papadopoulos, Stavros, Anastasios Drosou, & Dimitrios Tzovaras. (2017). A Hierarchical Magnification Approach for Enhancing the Insight in Data Visualizations. 29–39. 1 indexed citations
11.
Xochelli, Aliki, et al.. (2017). Chronic Lymphocytic Leukemia Patient Clustering Based on Somatic Hypermutation (SHM) Analysis. Advances in experimental medicine and biology. 988. 127–138. 2 indexed citations
12.
Kellaris, Georgios, Stavros Papadopoulos, Xiaokui Xiao, & Dimitris Papadias. (2014). Differentially private event sequences over infinite streams. Proceedings of the VLDB Endowment. 7(12). 1155–1166. 149 indexed citations
13.
Papadopoulos, Stavros, Κωνσταντίνος Μουστάκας, & Dimitrios Tzovaras. (2013). BGPViewer: Using Graph representations to explore BGP routing changes. 1–6. 7 indexed citations
14.
Tao, Yufei, Stavros Papadopoulos, Cheng Sheng, & Kostas Stefanidis. (2011). Nearest keyword search in XML documents. 3. 589–600. 25 indexed citations
15.
Papadopoulos, Stavros, et al.. (2009). Continuous spatial authentication. Lecture notes in computer science. 5644. 62. 7 indexed citations
16.
Yang, Yin, Stavros Papadopoulos, Dimitris Papadias, & George Kollios. (2008). Authenticated indexing for outsourced spatial databases. The VLDB Journal. 18(3). 631–648. 82 indexed citations
17.
Papadopoulos, Stavros, Yin Yang, & Dimitris Papadias. (2007). CADS: continuous authentication on data streams. Very Large Data Bases. 135–146. 52 indexed citations
18.
Contogouris, A. P., Stavros Papadopoulos, & B. Kamal. (1991). The perturbative QCD approach to the proton spin problem. Nuclear Physics B - Proceedings Supplements. 23(2). 119–122. 2 indexed citations
19.
Contogouris, A. P., et al.. (1990). THE DOMINANT PART OF HIGHER ORDER CORRECTIONS IN PERTURBATIVE QCD. International Journal of Modern Physics A. 5(10). 1951–1973. 9 indexed citations
20.
Contogouris, A. P., Stavros Papadopoulos, & John P. Ralston. (1982). Large perturbative corrections in the soft-gluon limit. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 25(5). 1280–1290. 24 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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