Miguel Atencia

764 citations
32 papers · 484 indexed · h-index 12
Topics
Neural Networks and Applications (15 papers)Control Systems and Identification (6 papers)Fuzzy Logic and Control Systems (5 papers)
Partner nations
SpainRomaniaCuba

In The Last Decade

Miguel Atencia

31 papers receiving 472 citations

Peers

Miguel Atencia
Comparison fields: 5 of 102
  • Artificial Intelligence 267
  • Computer Networks and Communications 160
  • Electrical and Electronic Engineering 106
  • Control and Systems Engineering 106
  • Statistical and Nonlinear Physics 85
Replace Jiuchao Feng with:
Jiuchao Feng China
C.P. Kwong Hong Kong
Mohammadreza Doostmohammadian Iran
Chen Tian-Lun China
Donatello Materassi United States
Xiaopeng Yan China
Pascal Bianchi France
Hui Peng China
Wei Pan China
Miguel Atencia relative to Jiuchao Feng China Jiuchao Feng's profile →
Citations per field
00.5×2.7×
Jiuchao Feng · 1×
Citations per year

Countries citing papers authored by Miguel Atencia

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Atencia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Atencia

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Atencia. A scholar is included among the top collaborators of Miguel Atencia 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 Miguel Atencia. Miguel Atencia 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 6
2 4
3 3
4 13
5 1
6 4
7 14
8
Parameter identification in nonlinear dynamical systems with Hopfield neural networks
0
9 9
10 4
11 1
12 19
13 11
14
A methodology for identification of greenhouse humidity based on Recurrent Radial Basis Functions
2
15 7
16 27
17 4
18
Artificial Neural Networks for Energy Management System Applicability and Limitations of the Main Paradigms
2
19
Gray box identification with hopfield neural networks
13
20 25

About Miguel Atencia

Miguel Atencia is a scholar working on Space and Planetary Science, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 32 papers that have together received 484 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Control Systems and Identification (6 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Artificial Intelligence (267 citations), Computer Networks and Communications (160 citations) and Statistical and Nonlinear Physics (85 citations). Miguel Atencia has collaborated with scholars based in Spain, Romania and Cuba. Frequent co-authors include Gonzalo Joya, F. Sandoval, Francisco García-Lagos, A. Prieto, Ruxandra Stoean, Cătălin Stoean, Luis Velázquez‐Pérez, Moloud Abdar, Abbas Khosravi and U. Rajendra Acharya. Their work appears in journals such as PLoS ONE, Sensors and Neural Computation.

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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