María Canales

32 papers receiving 318 citations

Peers

María Canales
Comparison fields: 5 of 41
  • Computer Networks and Communications 287
  • Electrical and Electronic Engineering 176
  • Biomedical Engineering 33
  • Computer Vision and Pattern Recognition 24
  • Civil and Structural Engineering 14
Replace Ali Hammad Akbar with:
Ali Hammad Akbar Pakistan
Luiz Magalhães Brazil
Yu-Chee Tseng Taiwan
P. Jayarajan India
Jiwa Abdullah Malaysia
Chao-Tsun Chang Taiwan
Lyes Khelladi Algeria
Mourad Gueroui France
Ghofrane Fersi Tunisia
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María Canales relative to Ali Hammad Akbar Pakistan Ali Hammad Akbar's profile →
Citations per field
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Citations per year

Countries citing papers authored by María Canales

Since Specialization
Citations

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

Fields of papers citing papers by María Canales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Canales

This figure shows the co-authorship network connecting the top 25 collaborators of María Canales. A scholar is included among the top collaborators of María Canales based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Canales. María Canales is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 13
3 13
4 10
5 10
6 17
7 23
8 10
9 5
10 11
11
A TDMA MAC protocol for multiservice wireless ad hoc networks
1
12 1
13 11
14 6
15 13
16 2
17
Performance Evaluation of point-to-point scheduling strategies for the ADHOC MAC protocol
5
18 74
19 1
20 7

About María Canales

María Canales is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 38 papers that have together received 335 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (16 papers), Cooperative Communication and Network Coding (16 papers) and Wireless Networks and Protocols (15 papers). The work is most often cited by research in Computer Networks and Communications (287 citations), Electrical and Electronic Engineering (176 citations) and Computer Vision and Pattern Recognition (24 citations). María Canales has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include José Ramón Gállego, Jorge Ortín, Antonio Valdovinos, Ángela Hernández‐Solana, Matteo Cesana, Julián Fernández-Navajas, Javier Lafuente, Carmen Delgado, Alessandro E. C. Redondi and Qi Shi. Their work appears in journals such as IEEE Internet of Things Journal, Electronics Letters and IEEE Communications Letters.

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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