Andra Lutu

830 citations
58 papers · 469 indexed · h-index 13

Impact in

Papers in

Andra Lutu

52 papers receiving 453 citations

Peers

Andra Lutu
Comparison fields: 5 of 41
  • Computer Networks and Communications 324
  • Media Technology 50
  • Computer Vision and Pattern Recognition 84
  • Electrical and Electronic Engineering 216
  • Artificial Intelligence 100
Replace Theo Kanter with:
Theo Kanter Sweden
Javier Rubio‐Loyola Mexico
Sayandeep Sen United States
M. Toril Spain
Ismail AlQerm Saudi Arabia
Cong Peng China
Matthew Gast
Supratim Deb United States
Taeweon Suh South Korea
Chenyuan Feng China
Andra Lutu relative to Theo Kanter Sweden Theo Kanter's profile →
Citations per field
00.5×10×14.5×
Theo Kanter · 1×
Citations per year

Countries citing papers authored by Andra Lutu

Since Specialization
Citations

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

Fields of papers citing papers by Andra Lutu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201938
3 201736
4 201634
5 201821
6
Proceedings of IEEE INFOCOM 2017 Conference
201618
7 201818
8 201817
9 201916
10 201516
11 201715
12 201815
13 201712
14 202311
15 201311
16 20149
17 20169
18 20208
19 20178
20 20207

About Andra Lutu

Andra Lutu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 58 papers that have together received 469 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (19 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Wireless Networks and Protocols (10 papers), Green IT and Sustainability (9 papers), Advanced MIMO Systems Optimization (9 papers), Caching and Content Delivery (8 papers), Image and Video Quality Assessment (6 papers) and Peer-to-Peer Network Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Media Technology (50 citations), Computer Vision and Pattern Recognition (84 citations), Electrical and Electronic Engineering (216 citations) and Artificial Intelligence (100 citations). Andra Lutu has collaborated with scholars based in Spain, Norway and United Kingdom. Frequent co-authors include Özgü Alay, Marcelo Bagnulo, Marco Mellia, Anna Brunström, Ali Safari Khatouni, Stefan Alfredsson, Vincenzo Mancuso, Jonas Karlsson, Cise Midoglu and Marco Ajmone Marsan. Their work appears in journals such as Computer Networks, IEEE Communications Magazine, IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Mobile Computing.

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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