Ilche Georgievski
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Marco AielloAlexander LazovikViktoriya DegelerSchahram DustdarGiuliano Andrea PaganiTuan Anh NguyenLuigi PalmieriUwe Breitenbücher
- Topics
- Context-Aware Activity Recognition Systems (8 papers)Service-Oriented Architecture and Web Services (6 papers)AI-based Problem Solving and Planning (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- GermanyNetherlandsNorway
In The Last Decade
Ilche Georgievski
23 papers receiving 231 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 89
- Computer Networks and Communications 74
- Computer Vision and Pattern Recognition 65
- Information Systems 61
- Electrical and Electronic Engineering 58
Countries citing papers authored by Ilche Georgievski
This map shows the geographic impact of Ilche Georgievski'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 Ilche Georgievski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilche Georgievski more than expected).
Fields of papers citing papers by Ilche Georgievski
This network shows the impact of papers produced by Ilche Georgievski. 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 Ilche Georgievski. The network helps show where Ilche Georgievski may publish in the future.
Co-authorship network of co-authors of Ilche Georgievski
This figure shows the co-authorship network connecting the top 25 collaborators of Ilche Georgievski. A scholar is included among the top collaborators of Ilche Georgievski 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 Ilche Georgievski. Ilche Georgievski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 74 | |
| 17 | Planning for Coordination of Devices in Energy-Smart Envronments | 1 |
| 18 | 15 | |
| 19 | 52 | |
| 20 | Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on | 5 |
About Ilche Georgievski
Ilche Georgievski is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Software, having authored 25 papers that have together received 239 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Service-Oriented Architecture and Web Services (6 papers) and AI-based Problem Solving and Planning (5 papers). The work is most often cited by research in Computer Networks and Communications (74 citations), Computer Vision and Pattern Recognition (65 citations) and Artificial Intelligence (89 citations). Ilche Georgievski has collaborated with scholars based in Germany, Netherlands and Norway. Frequent co-authors include Marco Aiello, Alexander Lazovik, Viktoriya Degeler, Schahram Dustdar, Giuliano Andrea Pagani, Tuan Anh Nguyen, Luigi Palmieri, Uwe Breitenbücher, Thijs Bouman and Prashant Gupta. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Smart Grid and Artificial Intelligence.
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.