Maxim Podlesny
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Rafael Pereira EstevesLisandro Zambenedetti GranvilleQi ZhangMohamed Faten ZhaniMd. Golam RabbaniRaouf BoutabaMd. Faizul BariCarey Williamson
- Topics
- Network Traffic and Congestion Control (10 papers)Advanced Wireless Network Optimization (9 papers)Software-Defined Networks and 5G (5 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsElectrical and Electronic Engineering
- Journals
- IEEE Communications Surveys & TutorialsIEEE Journal on Selected Areas in CommunicationsACM SIGCOMM Computer Communication Review
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Maxim Podlesny
12 papers receiving 556 citations
Hit Papers
Peers
Comparison fields: 5 of 28
- Computer Networks and Communications 552
- Information Systems 323
- Electrical and Electronic Engineering 210
- Artificial Intelligence 29
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Maxim Podlesny
This map shows the geographic impact of Maxim Podlesny'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 Maxim Podlesny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Podlesny more than expected).
Fields of papers citing papers by Maxim Podlesny
This network shows the impact of papers produced by Maxim Podlesny. 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 Maxim Podlesny. The network helps show where Maxim Podlesny may publish in the future.
Co-authorship network of co-authors of Maxim Podlesny
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Podlesny. A scholar is included among the top collaborators of Maxim Podlesny 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 Maxim Podlesny. Maxim Podlesny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Data Center Network Virtualization: A Surveybreakdown → | 458 |
| 2 | 9 | |
| 3 | 21 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 7 |
About Maxim Podlesny
Maxim Podlesny is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 13 papers that have together received 579 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (10 papers), Advanced Wireless Network Optimization (9 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Computer Networks and Communications (552 citations), Information Systems (323 citations) and Electrical and Electronic Engineering (210 citations). Maxim Podlesny has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Rafael Pereira Esteves, Lisandro Zambenedetti Granville, Qi Zhang, Mohamed Faten Zhani, Md. Golam Rabbani, Raouf Boutaba, Md. Faizul Bari, Carey Williamson and Sergey Gorinsky. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Journal on Selected Areas in Communications and ACM SIGCOMM Computer Communication Review.
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.