Miroslav Ponec
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Information Systems
- Topics
- Cooperative Communication and Network Coding (7 papers)Peer-to-Peer Network Technologies (5 papers)Wireless Networks and Protocols (4 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- IEEE/ACM Transactions on NetworkingIEEE Transactions on MultimediaACM Transactions on Information and System Security
- Partner nations
- United StatesHong KongGermany
In The Last Decade
Miroslav Ponec
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 253
- Computer Vision and Pattern Recognition 73
- Signal Processing 53
- Electrical and Electronic Engineering 49
- Information Systems 38
Countries citing papers authored by Miroslav Ponec
This map shows the geographic impact of Miroslav Ponec'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 Miroslav Ponec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Ponec more than expected).
Fields of papers citing papers by Miroslav Ponec
This network shows the impact of papers produced by Miroslav Ponec. 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 Miroslav Ponec. The network helps show where Miroslav Ponec may publish in the future.
Co-authorship network of co-authors of Miroslav Ponec
This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Ponec. A scholar is included among the top collaborators of Miroslav Ponec 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 Miroslav Ponec. Miroslav Ponec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 32 | |
| 3 | 13 | |
| 4 | Utility Maximization in P2P Systems | 0 |
| 5 | 14 | |
| 6 | 35 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 88 | |
| 10 | 20 | |
| 11 | 4 |
About Miroslav Ponec
Miroslav Ponec is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 11 papers that have together received 289 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Peer-to-Peer Network Technologies (5 papers) and Wireless Networks and Protocols (4 papers). The work is most often cited by research in Computer Networks and Communications (253 citations), Signal Processing (53 citations) and Computer Vision and Pattern Recognition (73 citations). Miroslav Ponec has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Philip A. Chou, Minghua Chen, Sudipta Sengupta, Jin Li, Jin Li, Hervé Brönnimann, Joel Wein, Ang Chen, Yin Lin and Bruce M. Maggs. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Multimedia and ACM Transactions on Information and System Security.
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.