Ivan Nunes da Silva

174 papers receiving 2.0k citations

Peers

Ivan Nunes da Silva
Comparison fields: 5 of 152
  • Electrical and Electronic Engineering 1.0k
  • Control and Systems Engineering 910
  • Artificial Intelligence 395
  • Mechanical Engineering 291
  • Mechanics of Materials 144
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A.C. Liew Singapore
Zhaohua Liu China
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Hamid Reza Shaker Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Nunes da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Nunes da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Nunes da Silva. 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 Ivan Nunes da Silva. The network helps show where Ivan Nunes da Silva may publish in the future.

Co-authorship network of co-authors of Ivan Nunes da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Nunes da Silva. A scholar is included among the top collaborators of Ivan Nunes da Silva 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 Ivan Nunes da Silva. Ivan Nunes da Silva 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 4
2 1
3 0
4 2
5 1
6 3
7 39
8 193
9 2
10 2
11 0
12
Sensorless Neural Approach for Speed Estimation in Induction Motors
8
13
DSP-Based Fuzzy Controller of Three-Phase Induction Motor with V/f Control Strategy
1
14 3
15 2
16 1
17 2
18
Camera calibration using neural networks
7
19
Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics: Information Systems Development-Volume I - Volume I
1
20 1

About Ivan Nunes da Silva

Ivan Nunes da Silva is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 188 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (36 papers), Machine Fault Diagnosis Techniques (30 papers) and Power Quality and Harmonics (26 papers). The work is most often cited by research in Control and Systems Engineering (910 citations), Electrical and Electronic Engineering (1.0k citations) and Safety, Risk, Reliability and Quality (118 citations). Ivan Nunes da Silva has collaborated with scholars based in Brazil, Spain and United States. Frequent co-authors include Rogério Andrade Flauzino, Alessandro Goedtel, Danilo Hernane Spatti, Ricardo A. S. Fernandes, Luisa Helena Bartocci Liboni, Wagner Fontes Godoy, Rodrigo Henrique Cunha Palácios, Silas Franco dos Reis Alves, Fábbio A. S. Borges and Mário Oleskovicz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Systems.

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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