Sergej Svorobej
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Theo LynnJames ByrnePatrícia Takako EndoMalika BendechacheKonstantinos M. GiannoutakisDimitrios TzovarasChristos K. Filelis‐PapadopoulosGeorge A. Gravvanis
- Topics
- Cloud Computing and Resource Management (11 papers)IoT and Edge/Fog Computing (8 papers)Software System Performance and Reliability (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Services ComputingSimulation Modelling Practice and Theory
In The Last Decade
Sergej Svorobej
15 papers receiving 291 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 251
- Information Systems 186
- Computer Vision and Pattern Recognition 56
- Electrical and Electronic Engineering 47
- Artificial Intelligence 26
Countries citing papers authored by Sergej Svorobej
This map shows the geographic impact of Sergej Svorobej'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 Sergej Svorobej with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergej Svorobej more than expected).
Fields of papers citing papers by Sergej Svorobej
This network shows the impact of papers produced by Sergej Svorobej. 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 Sergej Svorobej. The network helps show where Sergej Svorobej may publish in the future.
Co-authorship network of co-authors of Sergej Svorobej
This figure shows the co-authorship network connecting the top 25 collaborators of Sergej Svorobej. A scholar is included among the top collaborators of Sergej Svorobej 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 Sergej Svorobej. Sergej Svorobej is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 96 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 11 | |
| 12 | 44 | |
| 13 | 51 | |
| 14 | 1 | |
| 15 | 2 |
About Sergej Svorobej
Sergej Svorobej is a scholar working on Computer Networks and Communications, Information Systems and Media Technology, having authored 15 papers that have together received 298 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (8 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Information Systems (186 citations) and Computer Vision and Pattern Recognition (56 citations). Sergej Svorobej has collaborated with scholars based in Ireland, Greece and Brazil. Frequent co-authors include Theo Lynn, James Byrne, Patrícia Takako Endo, Malika Bendechache, Konstantinos M. Giannoutakis, Dimitrios Tzovaras, Christos K. Filelis‐Papadopoulos, George A. Gravvanis, P. J. Byrne and Per-Olov Östberg. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Services Computing and Simulation Modelling Practice and Theory.
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.