Miguel García

2.6k citations
123 papers · 1.8k indexed · h-index 22

Miguel García

115 papers receiving 1.7k citations

Peers

Miguel García
Comparison fields: 5 of 102
  • Computer Networks and Communications 1.1k
  • Computer Vision and Pattern Recognition 314
  • Signal Processing 146
  • Ocean Engineering 189
  • Electrical and Electronic Engineering 685
Replace Eduardo F. Nakamura with:
Eduardo F. Nakamura Brazil
Prashant Pillai United Kingdom
Alberto Gotta Italy
Nitin Goyal India
Thomas Newe Ireland
Syed Ali Hassan Pakistan
Wan Du United States
Stefano Chessa Italy
Alberto Cerpa United States
Gabriel Villarrubia González Spain
Miguel García relative to Eduardo F. Nakamura Brazil Eduardo F. Nakamura's profile →
Citations per field
00.5×1.5×2.3×
Eduardo F. Nakamura · 1×
Citations per year

Countries citing papers authored by Miguel García

Since Specialization
Citations

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

Fields of papers citing papers by Miguel García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 202410
6 20241
7 20232
8 20237
9 20231
10 20204
11 201931
12 201919
13 20187
14 201717
15
The Development of Two Systems for Indoor Wireless Sensors Self-location
200953
16 200934
17 200828
18 200727
19 200741
20 200215

About Miguel García

Miguel García is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (26 papers), Energy Efficient Wireless Sensor Networks (25 papers), Video Coding and Compression Technologies (21 papers), Mobile Ad Hoc Networks (18 papers), Wireless Networks and Protocols (16 papers), Multimedia Communication and Technology (16 papers), Opportunistic and Delay-Tolerant Networks (14 papers) and Advanced Data Compression Techniques (11 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Computer Vision and Pattern Recognition (314 citations) and Signal Processing (146 citations). Miguel García has collaborated with scholars based in Spain, United Kingdom and Portugal. Frequent co-authors include Jaime Lloret, Sandra Sendra, Diana Bri, Jesús Tomás, Alejandro Cánovas, Fernando Boronat, Jaume Segura-García, Santiago Felici-Castell, J.F. Toledo and Raquel Lacuesta. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

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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