Daniel Négru

639 citations
42 papers · 232 · h-index 10

Impact in

Papers in

Daniel Négru

37 papers receiving 220 citations

Peers

Daniel Négru
Comparison fields: 5 of 45
  • Computer Networks and Communications 156
  • Computer Vision and Pattern Recognition 81
  • Signal Processing 36
  • Hardware and Architecture 13
  • Chemical Health and Safety 1
Replace Eugen Borcoci with:
Eugen Borcoci Romania
Francesco Bronzino United States
Ognjen Dobrijević Croatia
Paul Schmitt United States
H. Alvestrand United States
Ali Safari Khatouni Italy
Eman Ramadan United States
Pedro Martínez-Julia Japan
Ali Malik Ireland
Andrzej Bęben Poland
Daniel Négru relative to Eugen Borcoci Romania Eugen Borcoci's profile →
Citations per field
00.5×1.5×1.9×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201632
2 201726
3 200523
4 201119
5 201211
6 201011
7 201710
8 20109
9 20129
10 20189
11 20058
12 20167
13 20176
14 20136
15 20225
16 20174
17 20183
18 20143
19 20113
20 20133

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 42 papers that have together received 232 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (14 papers), Caching and Content Delivery (13 papers), Multimedia Communication and Technology (13 papers), Peer-to-Peer Network Technologies (10 papers), Network Traffic and Congestion Control (8 papers), IPv6, Mobility, Handover, Networks, Security (6 papers), Video Coding and Compression Technologies (5 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Computer Networks and Communications (156 citations), Computer Vision and Pattern Recognition (81 citations), Signal Processing (36 citations), Hardware and Architecture (13 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, Adlen Ksentini, Nicolas Herbaut, Ahmed Mehaoua, Jordi Mongay Batalla, A. Nafaa, Pantelis A. Frangoudis, Yi‐Ping Phoebe Chen, George Mastorakis and Constandinos X. Mavromoustakis. Their work appears in journals such as IEEE Multimedia, IEEE Communications Magazine, Computer Communications, ACM Transactions on Multimedia Computing Communications and Applications and Journal of Systems Architecture.

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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