Daniel Négru

644 citations
52 papers · 287 · h-index 10

Impact in

Papers in

Daniel Négru

45 papers receiving 274 citations

Peers

Daniel Négru
Comparison fields: 5 of 49
  • Computer Networks and Communications 196
  • Computer Vision and Pattern Recognition 96
  • Signal Processing 40
  • Hardware and Architecture 15
  • Chemical Health and Safety 1
Replace Eugen Borcoci with:
Eugen Borcoci Romania
Luis Bellido Spain
Francesco Bronzino United States
Ali Safari Khatouni Italy
Paul Schmitt United States
Eman Ramadan United States
Pedro Martínez-Julia Japan
Christophe Chassot France
Truong Khoa Phan United Kingdom
Georgios Gardikis Greece
Daniel Négru relative to Eugen Borcoci Romania Eugen Borcoci's profile →
Citations per field
00.5×1.5×2.0×
Eugen Borcoci · 1×
Citations per year

Countries citing papers authored by Daniel Négru

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Négru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Négru, 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 Daniel Négru Line = papers co-authored together Daniel Négru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201633
2 201729
3 200528
4 201121
5 201015
6 201212
7 201010
8 201210
9 201710
10 201610
11 20189
12 20058
13 20118
14 20137
15 20166
16 20226
17 20146
18 20176
19 20114
20 20174

About Daniel Négru

Daniel Négru is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science, Electrical and Electronic Engineering and Signal Processing, having authored 52 papers that have together received 287 indexed citations. Recurring topics across this work include Caching and Content Delivery (18 papers), Image and Video Quality Assessment (16 papers), Multimedia Communication and Technology (15 papers), Peer-to-Peer Network Technologies (14 papers), Network Traffic and Congestion Control (11 papers), IPv6, Mobility, Handover, Networks, Security (9 papers), Video Coding and Compression Technologies (7 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Computer Vision and Pattern Recognition (96 citations), Signal Processing (40 citations), Hardware and Architecture (15 citations) and Chemical Health and Safety (1 citation). Daniel Négru has collaborated with scholars based in France, Greece and Romania. Frequent co-authors include Eugen Borcoci, Ahmed Mehaoua, Adlen Ksentini, Jordi Mongay Batalla, Nicolas Herbaut, Christian Timmerer, George Mastorakis, Constandinos X. Mavromoustakis, A. Nafaa and Yi‐Ping Phoebe Chen. Their work appears in journals such as IEEE Multimedia, IEEE Communications Magazine, Journal of Systems Architecture, Computer Communications and ACM Transactions on Multimedia Computing Communications and Applications.

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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