Rafael Estepa

495 citations
40 papers · 306 · h-index 11

Impact in

Papers in

Rafael Estepa

37 papers receiving 298 citations

Peers

Rafael Estepa
Comparison fields: 5 of 53
  • Computer Networks and Communications 194
  • Signal Processing 49
  • Aerospace Engineering 64
  • Artificial Intelligence 74
  • Computer Vision and Pattern Recognition 42
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Ganapathy Mani United States
Dali Zhu China
Nadine Abbas Lebanon
Akram A. Almohammedi Malaysia
Samiha Ayed France
Prima Kristalina Indonesia
Jiajie Xu China
Shigeaki Tagashira Japan
Monireh Dabaghchian United States
Ziqiang Feng United States
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Citations per field
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Citations per year

Countries citing papers authored by Rafael Estepa

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Estepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Rafael Estepa, 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 Rafael Estepa Line = papers co-authored together Rafael Estepa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202246
2 201940
3 201721
4 200419
5 202318
6 202015
7 202315
8 202213
9 201512
10 201411
11 202010
12 20219
13 20229
14 20118
15 20208
16 20227
17 20055
18 20035
19 20195
20 20243

About Rafael Estepa

Rafael Estepa is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Information Systems, having authored 40 papers that have together received 306 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (14 papers), Network Security and Intrusion Detection (11 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Network Traffic and Congestion Control (9 papers), Wireless Communication Networks Research (6 papers), Advanced Wireless Network Optimization (5 papers), Advanced Malware Detection Techniques (5 papers) and UAV Applications and Optimization (4 papers). The work is most often cited by research in Computer Networks and Communications (194 citations), Signal Processing (49 citations), Aerospace Engineering (64 citations), Artificial Intelligence (74 citations) and Computer Vision and Pattern Recognition (42 citations). Rafael Estepa has collaborated with scholars based in Spain, Portugal and Brazil. Frequent co-authors include Antonio Estepa, Jesús E. Dı́az-Verdejo, Mats Jonasson, Johan Wideberg, José A. Troyano, Jorge Calvillo‐Arbizu, I. Román, Jorge López, Mark Davis and Fabio Gómez-Estern. Their work appears in journals such as Computer Communications, IEEE Access, IEEE Communications Letters, Wireless Communications and Mobile Computing and Computer Networks.

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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