László Bokor

823 citations
107 papers · 622 · h-index 12

Impact in

Papers in

László Bokor

96 papers receiving 579 citations

Peers

László Bokor
Comparison fields: 5 of 64
  • Computer Networks and Communications 305
  • Media Technology 103
  • Computer Vision and Pattern Recognition 166
  • Electrical and Electronic Engineering 334
  • Computer Graphics and Computer-Aided Design 17
Replace Chien Aun Chan with:
Chien Aun Chan Australia
Peter Počta Slovakia
Morihiko Tamai Japan
Daniel Raviv United States
Enrico Masala Italy
Mikel Zorrilla Spain
Uwe Rauschenbach Germany
Nabeel Ahmed United States
Jean‐Marie Bonnin France
Nam Pham Ngoc Vietnam
László Bokor relative to Chien Aun Chan Australia Chien Aun Chan's profile →
Citations per field
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Chien Aun Chan · 1×
Citations per year

Countries citing papers authored by László Bokor

Since Specialization
Citations

This map shows the geographic impact of László Bokor'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 László Bokor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Bokor more than expected).

Fields of papers citing papers by László Bokor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by László Bokor. 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 László Bokor. The network helps show where László Bokor may publish in the future.

Co-authors

The 25 scholars most cited alongside László Bokor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Bokor Line = papers co-authored together László Bokor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201731
3 200826
4 201725
5 200621
6 200918
7 201516
8 201014
9 201114
10 200713
11 201813
12 200912
13 201912
14 202111
15 202110
16 201810
17 201510
18
A Complete HIP Based Framework for Secure Micromobility.
20079
19 20199
20 20199

About László Bokor

László Bokor is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 107 papers that have together received 622 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (40 papers), Vehicular Ad Hoc Networks (VANETs) (23 papers), Wireless Networks and Protocols (17 papers), Image and Video Quality Assessment (16 papers), IoT and Edge/Fog Computing (12 papers), Multimedia Communication and Technology (12 papers), Wireless Communication Networks Research (10 papers) and Mobile Agent-Based Network Management (10 papers). The work is most often cited by research in Computer Networks and Communications (305 citations), Media Technology (103 citations), Computer Vision and Pattern Recognition (166 citations), Electrical and Electronic Engineering (334 citations) and Computer Graphics and Computer-Aided Design (17 citations). László Bokor has collaborated with scholars based in Hungary, United Kingdom and Montenegro. Frequent co-authors include Sándor Imre, Peter Andras Kara, Szabolcs Nováczki, Maria G. Martini, Attila Barsi, Tibor Balogh, Gergely Kovács, József Kovács, László Virág and Esa Piri. Their work appears in journals such as Computer Networks, IEEE Access, Applied Sciences, Sensors and IEEE Transactions on Broadcasting.

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.

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