Fernando Coito

770 citations
57 papers · 623 · h-index 13

Impact in

Papers in

Fernando Coito

53 papers receiving 599 citations

Peers

Fernando Coito
Comparison fields: 5 of 71
  • Modeling and Simulation 136
  • Control and Systems Engineering 296
  • Numerical Analysis 54
  • Media Technology 58
  • Renewable Energy, Sustainability and the Environment 92
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P. S. V. Nataraj India
Hassane Bouzahir Morocco
Shih‐Chang Hsia Taiwan
Milan R. Rapaić Serbia
Ibrahim Mohammed Sulaiman Malaysia
Chi‐Hsu Wang Taiwan
Muyang Liu Ireland
Songsong Cheng China
Suwat Kuntanapreeda Thailand
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Citations per field
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P. S. V. Nataraj · 1×
Citations per year

Countries citing papers authored by Fernando Coito

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Coito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Fernando Coito, 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 Fernando Coito Line = papers co-authored together Fernando Coito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199760
2 201453
3 200951
4 201649
5 199749
6
From Differences to Derivatives
200437
7 200026
8 199720
9 200620
10 201419
11 201316
12 201215
13 201012
14 201112
15 200512
16 201712
17 200911
18 20089
19
Robust fault diagnosis approach using analytical and knowledge based techniques applied to a water tank system
20059
20 20159

About Fernando Coito

Fernando Coito is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 57 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (17 papers), Fault Detection and Control Systems (13 papers), Advanced Control Systems Design (8 papers), Experimental Learning in Engineering (8 papers), Control Systems and Identification (7 papers), Radio Frequency Integrated Circuit Design (6 papers), Robotic Path Planning Algorithms (4 papers) and Photovoltaic System Optimization Techniques (4 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Control and Systems Engineering (296 citations), Numerical Analysis (54 citations), Media Technology (58 citations) and Renewable Energy, Sustainability and the Environment (92 citations). Fernando Coito has collaborated with scholars based in Portugal, Spain and Germany. Frequent co-authors include Manuel Duarte Ortigueira, João M. Lemos, Rui Neves‐Silva, Luís Brito Palma, Juan J. Trujillo, Luís Rato, E. Mosca, Paulo Gil, Pedro Pereira and Victor Lobo. Their work appears in journals such as Signal Processing, The International Journal of Robotics Research, International Journal of Adaptive Control and Signal Processing, Evolving Systems and Analog Integrated Circuits and Signal Processing.

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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