Samuel Kounev
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Co-authors
- Marco VieiraAlberto AvritzerBryan D. PayneKai SachsIan GortonMarian SeliuchenkoSteffen GebertKlaus-Dieter Lange
- Topics
- Software-Defined Networks and 5G (7 papers)Network Security and Intrusion Detection (7 papers)Cloud Computing and Resource Management (7 papers)
- Partner nations
- GermanyUnited StatesPortugal
In The Last Decade
Samuel Kounev
27 papers receiving 274 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 239
- Artificial Intelligence 123
- Information Systems 85
- Signal Processing 82
- Electrical and Electronic Engineering 42
Countries citing papers authored by Samuel Kounev
This map shows the geographic impact of Samuel Kounev'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 Samuel Kounev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Kounev more than expected).
Fields of papers citing papers by Samuel Kounev
This network shows the impact of papers produced by Samuel Kounev. 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 Samuel Kounev. The network helps show where Samuel Kounev may publish in the future.
Co-authorship network of co-authors of Samuel Kounev
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Kounev. A scholar is included among the top collaborators of Samuel Kounev 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 Samuel Kounev. Samuel Kounev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 31 | |
| 18 | 132 | |
| 19 | Using WebLogic Diagnostics Framework to Enable Performance Prediction for Java EE Applications | 3 |
| 20 | 16 |
About Samuel Kounev
Samuel Kounev is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 29 papers that have together received 283 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (7 papers), Network Security and Intrusion Detection (7 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Signal Processing (82 citations) and Artificial Intelligence (123 citations). Samuel Kounev has collaborated with scholars based in Germany, United States and Portugal. Frequent co-authors include Marco Vieira, Alberto Avritzer, Bryan D. Payne, Kai Sachs, Ian Gorton, Marian Seliuchenko, Steffen Gebert, Klaus-Dieter Lange, Phuoc Tran‐Gia and Joachim Spoerhase. Their work appears in journals such as ACM Computing Surveys, Future Generation Computer Systems and Lecture notes in computer science.
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.