J.M. Díaz

566 citations
42 papers · 438 indexed · h-index 13
Topics
Experimental Learning in Engineering (14 papers)Adaptive Control of Nonlinear Systems (11 papers)Ship Hydrodynamics and Maneuverability (8 papers)
Partner nations
SpainFranceChile

In The Last Decade

J.M. Díaz

39 papers receiving 401 citations

Peers

J.M. Díaz
Comparison fields: 5 of 39
  • Control and Systems Engineering 235
  • Ocean Engineering 212
  • Computational Mechanics 94
  • Mechanical Engineering 79
  • Media Technology 57
Replace Hiroyuki Kajiwara with:
Hiroyuki Kajiwara Japan
Sambhunath Nandy India
Yushan Sun China
Eicher Low Singapore
Yunsai Chen China
Jiyong Li China
Eric M. Schwartz United States
Jinbo Wu China
Alexey Zhirabok Russia
Vafa Maihami Iran
J.M. Díaz relative to Hiroyuki Kajiwara Japan Hiroyuki Kajiwara's profile →
Citations per field
00.5×5.2×
Hiroyuki Kajiwara · 1×
Citations per year

Countries citing papers authored by J.M. Díaz

Since Specialization
Citations

This map shows the geographic impact of J.M. Díaz'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. Díaz 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. Díaz more than expected).

Fields of papers citing papers by J.M. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Díaz. A scholar is included among the top collaborators of J.M. Díaz 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. Díaz. J.M. Díaz 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 0
2 1
3 1
4 4
5 10
6 2
7 17
8 10
9 1
10
Application of an Aeronautic Control for Ship Path Following
1
11 1
12 2
13 3
14
An interactive software tool for learning robust control design using quantitative feedback theory methodology
4
15 1
16 3
17 31
18 13
19 1
20 23

About J.M. Díaz

J.M. Díaz is a scholar working on Architecture, Media Technology and Control and Systems Engineering, having authored 42 papers that have together received 438 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (14 papers), Adaptive Control of Nonlinear Systems (11 papers) and Ship Hydrodynamics and Maneuverability (8 papers). The work is most often cited by research in Ocean Engineering (212 citations), Control and Systems Engineering (235 citations) and Architecture (10 citations). J.M. Díaz has collaborated with scholars based in Spain, France and Chile. Frequent co-authors include Joaquín Aranda Almansa, Jesús Manuel de la Cruz García, S. Dormido, S. Esteban, José M. Girón-Sierra, Ramon Costa‐Castelló, Francisco R. Rubio, B. de Andrés-Toro, Manuel López and Javier de la Cruz. Their work appears in journals such as IEEE Access, International Journal of Control and Ocean Engineering.

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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