J. M. Maestre

4.7k citations
197 papers · 3.3k indexed · 1 hit paper · h-index 30
Topics
Advanced Control Systems Optimization (96 papers)Fault Detection and Control Systems (45 papers)Distributed Control Multi-Agent Systems (31 papers)
Partner nations
SpainNetherlandsJapan

In The Last Decade

J. M. Maestre

181 papers receiving 3.2k citations

Hit Papers

Distributed Model Predictive Control Made Easy2013202620172021201350100150200250

Peers

J. M. Maestre
Comparison fields: 5 of 115
  • Control and Systems Engineering 1.9k
  • Electrical and Electronic Engineering 633
  • Computer Networks and Communications 623
  • Civil and Structural Engineering 578
  • Ocean Engineering 468
Replace Carlos Ocampo‐Martínez with:
Carlos Ocampo‐Martínez Spain
Nicanor Quijano Colombia
K. Ponnambalam Canada
Yalin Wang China
Yan‐Fu Li China
C. Gil Spain
Muzaffar Eusuff United States
Limin Jia China
Esmaeil Atashpaz-Gargari United States
Chengyu Hu China
J. M. Maestre relative to Carlos Ocampo‐Martínez Spain Carlos Ocampo‐Martínez's profile →
Citations per field
00.5×1.5×2.2×
Carlos Ocampo‐Martínez · 1×
Citations per year

Countries citing papers authored by J. M. Maestre

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Maestre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Maestre. 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 J. M. Maestre. The network helps show where J. M. Maestre may publish in the future.

Co-authorship network of co-authors of J. M. Maestre

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Maestre. A scholar is included among the top collaborators of J. M. Maestre 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 J. M. Maestre. J. M. Maestre 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
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2 0
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5 1
6 1
7 0
8 9
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11 6
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Distributed Linear Quadratic Regulator Robust to Communication Dropouts
3
13 10
14 12
15 19
16 15
17 40
18 3
19 79
20 5

About J. M. Maestre

J. M. Maestre is a scholar working on Control and Systems Engineering, Soil Science and Computer Networks and Communications, having authored 197 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (96 papers), Fault Detection and Control Systems (45 papers) and Distributed Control Multi-Agent Systems (31 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Soil Science (350 citations) and Ocean Engineering (468 citations). J. M. Maestre has collaborated with scholars based in Spain, Netherlands and Japan. Frequent co-authors include Rudy R. Negenborn, Eduardo F. Camacho, David Muñoz de la Peña, Seied Mehdy Hashemy Shahdany, Carlos Ocampo‐Martínez, Bart De Schutter, Filiberto Fele, Pablo Velarde, P. J. van Overloop and Encarnación Algaba. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Power Sources and Automatica.

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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