Adrián Pekár
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Winston K.G. SeahIveta ZolotováJozef MocnejBryan NgLiberios VokorokosNorbert ÁdámEva ChovancováErik Kajáti
- Topics
- Network Security and Intrusion Detection (17 papers)Internet Traffic Analysis and Secure E-voting (14 papers)Software-Defined Networks and 5G (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Communications Magazine
- Partner nations
- HungarySlovakiaNew Zealand
In The Last Decade
Adrián Pekár
32 papers receiving 388 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 271
- Artificial Intelligence 150
- Information Systems 75
- Electrical and Electronic Engineering 67
- Signal Processing 65
Countries citing papers authored by Adrián Pekár
This map shows the geographic impact of Adrián Pekár'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 Adrián Pekár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrián Pekár more than expected).
Fields of papers citing papers by Adrián Pekár
This network shows the impact of papers produced by Adrián Pekár. 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 Adrián Pekár. The network helps show where Adrián Pekár may publish in the future.
Co-authorship network of co-authors of Adrián Pekár
This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Pekár. A scholar is included among the top collaborators of Adrián Pekár 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 Adrián Pekár. Adrián Pekár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 42 | |
| 12 | 0 | |
| 13 | Traffic Classification with Machine Learning in a Live Network | 12 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 17 | |
| 19 | 6 | |
| 20 | 3 |
About Adrián Pekár
Adrián Pekár is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 37 papers that have together received 406 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (17 papers), Internet Traffic Analysis and Secure E-voting (14 papers) and Software-Defined Networks and 5G (8 papers). The work is most often cited by research in Computer Networks and Communications (271 citations), Signal Processing (65 citations) and Artificial Intelligence (150 citations). Adrián Pekár has collaborated with scholars based in Hungary, Slovakia and New Zealand. Frequent co-authors include Winston K.G. Seah, Iveta Zolotová, Jozef Mocnej, Bryan Ng, Liberios Vokorokos, Norbert Ádám, Eva Chovancová, Erik Kajáti, Juan Carlos Corrales and Peter Papcun. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.
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.