Carlos Reaño

812 citations
51 papers · 526 · h-index 14

Impact in

Papers in

    • Distributed and Parallel Computing Systems 27
    • Advanced Data Storage Technologies 9
    • Interconnection Networks and Systems 7
    • IoT and Edge/Fog Computing 4
    • Parallel Computing and Optimization Techniques 32
    • Physical Unclonable Functions (PUFs) and Hardware Security 3

Carlos Reaño

49 papers receiving 520 citations

Peers

Carlos Reaño
Comparison fields: 5 of 42
  • Hardware and Architecture 286
  • Computer Networks and Communications 408
  • Information Systems 297
  • Signal Processing 44
  • Information Systems and Management 19
Replace F.C.M. Martins with:
F.C.M. Martins United States
Ioana Banicescu United States
Beomseok Nam South Korea
Arturo González-Escribano Spain
Rupesh Nasre India
Isaac Gelado Spain
Hyojin Sung United States
José Luis Bosque Spain
Srinivas Narayana United States
Doug Simon United States
Carlos Reaño relative to F.C.M. Martins United States F.C.M. Martins's profile →
Citations per field
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Citations per year

Countries citing papers authored by Carlos Reaño

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Reaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201454
2 201544
3 201537
4 200932
5 201131
6 201229
7 200924
8 201419
9 201319
10 201619
11 201718
12 201618
13 201415
14 202313
15 201213
16 201611
17 200911
18 20179
19 20159
20 20169

About Carlos Reaño

Carlos Reaño is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 526 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (32 papers), Cloud Computing and Resource Management (32 papers), Distributed and Parallel Computing Systems (27 papers), Advanced Data Storage Technologies (9 papers), Interconnection Networks and Systems (7 papers), IoT and Edge/Fog Computing (4 papers), Advanced Malware Detection Techniques (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Hardware and Architecture (286 citations), Computer Networks and Communications (408 citations), Information Systems (297 citations), Signal Processing (44 citations) and Information Systems and Management (19 citations). Carlos Reaño has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Federico Silla, Jeffrey H. Reed, J. Duato, Enrique S. Quintana–Ort́ı, Rafael Mayo, Antonio J. Peña, Sergio Iserte, Carl Dietrich, Gilad Shainer and Blesson Varghese. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Communications Magazine, The International Journal of High Performance Computing Applications, IEEE Access and Journal of Cloud Computing Advances Systems 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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