J. M. Maestre

4.7k citations
197 papers · 3.3k indexed · 1 hit paper · h-index 30

J. M. Maestre

181 papers receiving 3.2k citations

Hit Papers

Distributed Model Predictive Control Made Easy256201320262017202150100150200250

Peers

J. M. Maestre
Comparison fields: 5 of 115
  • Control and Systems Engineering 1.9k
  • Soil Science 350
  • Ocean Engineering 468
  • Computer Networks and Communications 623
  • Civil and Structural Engineering 578
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
00.5×3.5×
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

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20244
4 20240
5 20231
6 20231
7 20230
8 20239
9 20231
10 20230
11 20226
12
Distributed Linear Quadratic Regulator Robust to Communication Dropouts
20213
13 202010
14 201912
15 201819
16 201815
17 201840
18 20183
19 201779
20 20175

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), Distributed Control Multi-Agent Systems (31 papers), Hydraulic flow and structures (25 papers), Irrigation Practices and Water Management (19 papers), Water resources management and optimization (19 papers), Microgrid Control and Optimization (14 papers) and Stability and Control of Uncertain Systems (14 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 Optimal Control Applications and Methods, Journal of Process Control, Journal of Irrigation and Drainage Engineering, Automatica and Computers and Electronics in Agriculture.

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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