Elena Meshkova
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Janne RiihijärviPetri MähönenMarina PetrovaJunaid AnsariAndreas AchtzehnNicola BaldoBiljana BojovićJad Nasreddine
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)Cognitive Radio Networks and Spectrum Sensing (6 papers)Wireless Networks and Protocols (5 papers)
- Journals
- Computer NetworksEURASIP Journal on Wireless Communications and NetworkingIEEE Transactions on Cognitive Communications and Networking
- Partner nations
- GermanyNorth MacedoniaUnited Kingdom
In The Last Decade
Elena Meshkova
24 papers receiving 317 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 279
- Electrical and Electronic Engineering 105
- Information Systems 72
- Computer Vision and Pattern Recognition 40
- Artificial Intelligence 40
Countries citing papers authored by Elena Meshkova
This map shows the geographic impact of Elena Meshkova'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 Elena Meshkova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Meshkova more than expected).
Fields of papers citing papers by Elena Meshkova
This network shows the impact of papers produced by Elena Meshkova. 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 Elena Meshkova. The network helps show where Elena Meshkova may publish in the future.
Co-authorship network of co-authors of Elena Meshkova
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Meshkova. A scholar is included among the top collaborators of Elena Meshkova 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 Elena Meshkova. Elena Meshkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 31 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 22 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 146 | |
| 18 | 2 | |
| 19 | Evaluation of dynamic query abolishment methods in heterogeneous networks | 2 |
| 20 | 2 |
About Elena Meshkova
Elena Meshkova is a scholar working on Computer Networks and Communications, Media Technology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 343 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Cognitive Radio Networks and Spectrum Sensing (6 papers) and Wireless Networks and Protocols (5 papers). The work is most often cited by research in Computer Networks and Communications (279 citations), Architecture (5 citations) and Information Systems (72 citations). Elena Meshkova has collaborated with scholars based in Germany, North Macedonia and United Kingdom. Frequent co-authors include Janne Riihijärvi, Petri Mähönen, Marina Petrova, Junaid Ansari, Andreas Achtzehn, Nicola Baldo, Biljana Bojović, Jad Nasreddine, Daniel Denkovski and Liljana Gavrilovska. Their work appears in journals such as Computer Networks, EURASIP Journal on Wireless Communications and Networking and IEEE Transactions on Cognitive Communications and Networking.
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.