Rolland Vida

789 citations
28 papers · 281 · h-index 9

Impact in

Papers in

Rolland Vida

23 papers receiving 262 citations

Peers

Rolland Vida
Comparison fields: 5 of 39
  • Computer Networks and Communications 248
  • Developmental Biology 9
  • Electrical and Electronic Engineering 150
  • Signal Processing 14
  • Media Technology 6
Replace Vijay Raisinghani with:
Vijay Raisinghani India
Mauro Fonseca Brazil
M.I. Brownfield United States
Rahman Doost-Mohammady United States
Rami Tawil Lebanon
Morteza Hashemi United States
R. Ganesh United States
Pavlos Antoniou Cyprus
Tomoaki Kumagai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Rolland Vida

Since Specialization
Citations

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

Fields of papers citing papers by Rolland Vida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Rolland Vida, 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 Rolland Vida Line = papers co-authored together Rolland Vida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 200658
3 200721
4 200520
5 201311
6 20219
7 20159
8 20058
9 20208
10 20076
11 20113
12 20093
13 20133
14 20223
15 20122
16 20122
17 20152
18 20131
19 20031
20 20061

About Rolland Vida

Rolland Vida is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering, having authored 28 papers that have together received 281 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Mobile Ad Hoc Networks (7 papers), Caching and Content Delivery (6 papers), Advanced Chemical Sensor Technologies (4 papers), Peer-to-Peer Network Technologies (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Developmental Biology (9 citations), Electrical and Electronic Engineering (150 citations), Signal Processing (14 citations) and Media Technology (6 citations). Rolland Vida has collaborated with scholars based in Hungary, Sweden and France. Frequent co-authors include Attila Vidács, András Telcs, Markosz Maliosz, Kristóf Nagy, Tibor Cinkler, Dimitrie C. Popescu, Árpád Török, András Császár, Balázs Kovács and Zalán Heszberger. Their work appears in journals such as IEEE Sensors Journal, Computer Networks, Telecommunication Systems, Híradástechnika/Infocommunications journal and Defense Technical Information Center (DTIC).

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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