Sasho Nedelkoski
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- Software System Performance and Reliability 8
- Network Security and Intrusion Detection 6
- IoT and Edge/Fog Computing 2
- Software top 10%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 8
- Data Stream Mining Techniques 2
- Neural Networks and Applications 1
- Information Systems top 10%
- Software Engineering Research 2
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- Time Series Analysis and Forecasting 2
- Co-authors
- Odej KaoJorge CardosoJasmin BogatinovskiAlexander AckerLauritz ThamsenWu LiGjorgji MadjarovMihail Bogojeski
- Journals
- Computers & Chemical Engineering (1 paper)Concurrency and Computation Practice and Experience (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- GermanyNorth MacedoniaJapan
In The Last Decade
Sasho Nedelkoski
13 papers receiving 336 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 258
- Software 35
- Artificial Intelligence 204
- Information Systems 77
- Control and Systems Engineering 47
Countries citing papers authored by Sasho Nedelkoski
This map shows the geographic impact of Sasho Nedelkoski'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 Sasho Nedelkoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasho Nedelkoski more than expected).
Fields of papers citing papers by Sasho Nedelkoski
This network shows the impact of papers produced by Sasho Nedelkoski. 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 Sasho Nedelkoski. The network helps show where Sasho Nedelkoski may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Sasho Nedelkoski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 15 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 59 | |
| 9 | 2020 | 95 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 70 | |
| 12 | 2019 | 47 | |
| 13 | 2019 | 3 | |
| 14 | 2017 | 4 |
About Sasho Nedelkoski
Sasho Nedelkoski is a scholar working on Computer Networks and Communications, Artificial Intelligence, Software, Signal Processing and Computer Science Applications, having authored 14 papers that have together received 347 indexed citations. Recurring topics across this work include Software System Performance and Reliability (8 papers), Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers), IoT and Edge/Fog Computing (2 papers), Software Engineering Research (2 papers), Time Series Analysis and Forecasting (2 papers), Data Stream Mining Techniques (2 papers) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (258 citations), Software (35 citations), Artificial Intelligence (204 citations), Information Systems (77 citations) and Control and Systems Engineering (47 citations). Sasho Nedelkoski has collaborated with scholars based in Germany, North Macedonia and Japan. Frequent co-authors include Odej Kao, Jorge Cardoso, Jasmin Bogatinovski, Alexander Acker, Lauritz Thamsen, Wu Li, Gjorgji Madjarov, Mihail Bogojeski, Shinichi Nakajima and Klaus-Robert Müller. Their work appears in journals such as Computers & Chemical Engineering, Concurrency and Computation Practice and Experience, SHILAP Revista de lepidopterología, Proceedings of the ... Annual Hawaii International Conference on System Sciences and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.