Иван Ганчев
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Mobile Agent-Based Network Management
- Media Technology top 2%
Papers in
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- Mobile Agent-Based Network Management 23
- IoT and Edge/Fog Computing 18
- Wireless Communication Networks Research 16
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- Intuitionistic Fuzzy Systems Applications 18
- Co-authors
- Máirtín O’Droma (90 shared papers)Zhanlin Ji (98 shared papers)Xueji Zhang (12 shared papers)Haiyang Zhang (26 shared papers)Li Zhao (5 shared papers)Chenxu Dai (11 shared papers)Shengnan Hao (15 shared papers)Nikola S. Nikolov (11 shared papers)
In The Last Decade
Иван Ганчев
153 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Computer Networks and Communications 554
- Media Technology 145
- Computer Vision and Pattern Recognition 337
- Building and Construction 157
- Information Systems 258
Countries citing papers authored by Иван Ганчев
This map shows the geographic impact of Иван Ганчев'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 Иван Ганчев with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Иван Ганчев more than expected).
Fields of papers citing papers by Иван Ганчев
This network shows the impact of papers produced by Иван Ганчев. 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 Иван Ганчев. The network helps show where Иван Ганчев may publish in the future.
Co-authors
The 25 scholars most cited alongside Иван Ганчев, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 133 | |
| 2 | 2003 | 72 | |
| 3 | 2014 | 68 | |
| 4 | 2021 | 60 | |
| 5 | 2022 | 52 | |
| 6 | 2007 | 50 | |
| 7 | 2014 | 48 | |
| 8 | 2010 | 44 | |
| 9 | 2016 | 43 | |
| 10 | 2023 | 34 | |
| 11 | 2023 | 33 | |
| 12 | 2021 | 31 | |
| 13 | 2023 | 26 | |
| 14 | 2022 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2024 | 23 | |
| 18 | 2024 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2007 | 19 |
About Иван Ганчев
Иван Ганчев is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 1.5k indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (25 papers), Context-Aware Activity Recognition Systems (23 papers), Mobile Agent-Based Network Management (23 papers), IoT and Edge/Fog Computing (18 papers), Intuitionistic Fuzzy Systems Applications (18 papers), Recommender Systems and Techniques (17 papers), Wireless Communication Networks Research (16 papers) and Service-Oriented Architecture and Web Services (13 papers). The work is most often cited by research in Computer Networks and Communications (554 citations), Media Technology (145 citations), Computer Vision and Pattern Recognition (337 citations), Building and Construction (157 citations) and Information Systems (258 citations). Иван Ганчев has collaborated with scholars based in Ireland, Bulgaria and China. Frequent co-authors include Máirtín O’Droma, Zhanlin Ji, Xueji Zhang, Haiyang Zhang, Li Zhao, Chenxu Dai, Shengnan Hao, Nikola S. Nikolov, Xinyi Zeng and Yazhi Liu. Their work appears in journals such as IEEE Access, Electronics, IEEE Transactions on Consumer Electronics, PLoS ONE and EURASIP Journal on Wireless 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.