Daniel Coutinho

2.4k citations
162 papers · 1.8k indexed · h-index 19

Daniel Coutinho

154 papers receiving 1.7k citations

Peers

Daniel Coutinho
Comparison fields: 5 of 76
  • Control and Systems Engineering 1.6k
  • Numerical Analysis 80
  • Computer Networks and Communications 227
  • Energy Engineering and Power Technology 25
  • Computational Theory and Mathematics 120
Replace Shyam Krishna Nagar with:
Shyam Krishna Nagar India
Naceur Benhadj Braïek Tunisia
Vinícius F. Montagner Brazil
Juan I. Yuz Chile
Saverio Bolognani Switzerland
Pierre Riedinger France
Celaleddin Yeroğlu Türkiye
Alexandre Sanfelice Bazanella Brazil
Olivier Bachelier France
Daniel Coutinho relative to Shyam Krishna Nagar India Shyam Krishna Nagar's profile →
Citations per field
00.5×1.5×2.4×
Shyam Krishna Nagar · 1×
Citations per year

Countries citing papers authored by Daniel Coutinho

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Coutinho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20231
5 20222
6 20222
7 20201
8 20202
9 20191
10 201910
11 20142
12 20132
13 201312
14 201246
15 20123
16 20071
17 2007149
18 20041
19 20023
20 200215

About Daniel Coutinho

Daniel Coutinho is a scholar working on Control and Systems Engineering, Microbiology, Numerical Analysis, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 162 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (99 papers), Adaptive Control of Nonlinear Systems (58 papers), Advanced Control Systems Optimization (42 papers), Control Systems and Identification (42 papers), Fault Detection and Control Systems (19 papers), Control and Stability of Dynamical Systems (19 papers), Stability and Controllability of Differential Equations (15 papers) and Microgrid Control and Optimization (10 papers). The work is most often cited by research in Control and Systems Engineering (1.6k citations), Numerical Analysis (80 citations), Computer Networks and Communications (227 citations), Energy Engineering and Power Technology (25 citations) and Computational Theory and Mathematics (120 citations). Daniel Coutinho has collaborated with scholars based in Brazil, Belgium and Australia. Frequent co-authors include Carlos E. de Souza, Minyue Fu, Alexandre Trofino, J.M. Gomes da Silva, L.F.A. Pereira, Jeferson Vieira Flores, Alain Vande Wouwer, F.B. Libano, Patrick Danès and Karina A. Barbosa. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Robust and Nonlinear Control, Automatica, Journal of Process Control and European Journal of Control.

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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