Luísa Lima

494 citations
15 papers · 315 · h-index 10

Impact in

Papers in

Luísa Lima

15 papers receiving 292 citations

Peers

Luísa Lima
Comparison fields: 5 of 24
  • Computer Networks and Communications 284
  • Electrical and Electronic Engineering 189
  • Artificial Intelligence 58
  • Information Systems 30
  • Signal Processing 9
Replace Marius Evers with:
Marius Evers United States
J.T. Coffey United States
Eric Hao United States
Stephan Tinguely Switzerland
Liron Schiff Israel
Byoungro So United States
Robert S. Chappell United States
John H. Kelm United States
H. Sivakumar United States
Vinh Lam United States
Luísa Lima relative to Marius Evers United States Marius Evers's profile →
Citations per field
00.5×
Marius Evers · 1×
Citations per year

Countries citing papers authored by Luísa Lima

Since Specialization
Citations

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

Fields of papers citing papers by Luísa Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Luísa Lima, 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 Luísa Lima Line = papers co-authored together Luísa Lima links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200793
2 200740
3 201034
4 201228
5 201025
6 201020
7 200819
8 201112
9 201011
10 200910
11 20098
12 20117
13 20094
14 20113
15 20041

About Luísa Lima

Luísa Lima is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Wireless Communication Security Techniques (9 papers), Caching and Content Delivery (3 papers), Full-Duplex Wireless Communications (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Wireless Networks and Protocols (3 papers), Mobile Ad Hoc Networks (2 papers) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (284 citations), Electrical and Electronic Engineering (189 citations), Artificial Intelligence (58 citations), Information Systems (30 citations) and Signal Processing (9 citations). Luísa Lima has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include João Barros, Muriel Médard, Alberto Lopéz Toledo, Paulo F. Oliveira, Tiago T. V. Vinhoza, João P. Vilela, R. Koetter, Ton Kalker, Keesook J. Han and Fang Zhao. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Information Forensics and Security, Telecommunication Systems, Security and Communication Networks and DSpace@MIT (Massachusetts Institute of Technology).

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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