Fernando Rios-Gutiérrez

430 citations
26 papers · 312 indexed · h-index 8
Topics
Experimental Learning in Engineering (9 papers)Mechatronics Education and Applications (7 papers)Phonocardiography and Auscultation Techniques (4 papers)
Journals
Journal of Biomechanical EngineeringThe 2006 IEEE International Joint Conference on Neural Network ProceedingsWorld Automation Congress
Partner nations
United StatesMexico

In The Last Decade

Fernando Rios-Gutiérrez

20 papers receiving 289 citations

Peers

Fernando Rios-Gutiérrez
Comparison fields: 5 of 50
  • Pulmonary and Respiratory Medicine 98
  • Aerospace Engineering 76
  • Building and Construction 65
  • Electrical and Electronic Engineering 65
  • Computer Networks and Communications 63
Replace Issam Atouf with:
Issam Atouf Morocco
Meimei Huo China
Josef Pauli Germany
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Umer Saeed United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Rios-Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Rios-Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Rios-Gutiérrez. 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 Fernando Rios-Gutiérrez. The network helps show where Fernando Rios-Gutiérrez may publish in the future.

Co-authorship network of co-authors of Fernando Rios-Gutiérrez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Rios-Gutiérrez. A scholar is included among the top collaborators of Fernando Rios-Gutiérrez 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 Fernando Rios-Gutiérrez. Fernando Rios-Gutiérrez 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 3
2 0
3 1
4 0
5 2
6 5
7 74
8 20
9 79
10 2
11 12
12 2
13 1
14 9
15 39
16 33
17
Detecting and counting vehicles from high resolution satellite imagery.
2
18
Intelligent toys and fuzzy robots: capstone design projects for ece students
2
19
New life for the MC68HC11 evaluation board
0
20
A control scheme based on decomposition to primitive behaviors and a reinforcement learning technique
0

About Fernando Rios-Gutiérrez

Fernando Rios-Gutiérrez is a scholar working on Architecture, Media Technology and Computer Science Applications, having authored 26 papers that have together received 312 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (9 papers), Mechatronics Education and Applications (7 papers) and Phonocardiography and Auscultation Techniques (4 papers). The work is most often cited by research in Building and Construction (65 citations), Media Technology (36 citations) and Signal Processing (39 citations). Fernando Rios-Gutiérrez has collaborated with scholars based in United States and Mexico. Frequent co-authors include Rami J. Haddad, Danda B. Rawat, Yahia F. Makableh, Weinan Gao, Weitian Tong, Lei Chen and Cris Koutsougeras. Their work appears in journals such as Journal of Biomechanical Engineering, The 2006 IEEE International Joint Conference on Neural Network Proceedings and World Automation Congress.

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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