Stavros D. Nikolopoulos
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Geophysics top 10%
- Co-authors
- Charis PapadopoulosLeonidas PaliosK. EftaxiasGeorge ManisK. KaramanosJ. KopanasP. KapirisA. Peratzakis
- Topics
- Advanced Graph Theory Research (33 papers)Complexity and Algorithms in Graphs (21 papers)Advanced Malware Detection Techniques (20 papers)
In The Last Decade
Stavros D. Nikolopoulos
89 papers receiving 777 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 226
- Signal Processing 189
- Computer Networks and Communications 179
- Artificial Intelligence 164
- Geophysics 159
Countries citing papers authored by Stavros D. Nikolopoulos
This map shows the geographic impact of Stavros D. Nikolopoulos'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 D. Nikolopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stavros D. Nikolopoulos more than expected).
Fields of papers citing papers by Stavros D. Nikolopoulos
This network shows the impact of papers produced by Stavros D. Nikolopoulos. 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 D. Nikolopoulos. The network helps show where Stavros D. Nikolopoulos may publish in the future.
Co-authorship network of co-authors of Stavros D. Nikolopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of Stavros D. Nikolopoulos. A scholar is included among the top collaborators of Stavros D. Nikolopoulos 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 D. Nikolopoulos. Stavros D. Nikolopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | Deceleration capacity alterations before Non-Sustained Ventricular Tachycardia episodes in post myocardial infarction patients | 1 |
| 6 | Risk stratification for Arrhythmic Sudden Cardiac Death in heart failure patients using machine learning techniques | 16 |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 27 | |
| 17 | 4 | |
| 18 | Information processing and technology | 15 |
| 19 | 7 | |
| 20 | 2 |
About Stavros D. Nikolopoulos
Stavros D. Nikolopoulos is a scholar working on Computational Theory and Mathematics, Signal Processing and Software, having authored 96 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (33 papers), Complexity and Algorithms in Graphs (21 papers) and Advanced Malware Detection Techniques (20 papers). The work is most often cited by research in Signal Processing (189 citations), Computational Theory and Mathematics (226 citations) and Geophysics (159 citations). Stavros D. Nikolopoulos has collaborated with scholars based in Greece, Cyprus and France. Frequent co-authors include Charis Papadopoulos, Leonidas Palios, K. Eftaxias, George Manis, K. Karamanos, J. Kopanas, P. Kapiris, A. Peratzakis, Michel Le Van Quyen and Mario Valderrama. Their work appears in journals such as Information Sciences, Computers & Mathematics with Applications and Journal of Neuroscience Methods.
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.