J.M. Díaz

570 citations
42 papers · 443 · h-index 13

Impact in

Papers in

J.M. Díaz

40 papers receiving 406 citations

Peers

J.M. Díaz
Comparison fields: 5 of 41
  • Ocean Engineering 214
  • Control and Systems Engineering 239
  • Architecture 10
  • Media Technology 57
  • Computational Mechanics 96
Replace Hiroyuki Kajiwara with:
Hiroyuki Kajiwara Japan
Sambhunath Nandy India
Yushan Sun China
Eicher Low Singapore
Yunsai Chen China
Eric M. Schwartz United States
Jinbo Wu China
José Paulo V. S. Cunha Brazil
Yongsheng Zhao China
Sharifuddin Mondal India
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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200455
2 200041
3 200136
4 200433
5 200431
6 200124
7 199823
8 200919
9 201717
10 200017
11 200413
12 201913
13 200212
14 200211
15 202010
16 201510
17 20029
18 20069
19 20058
20 20048

About J.M. Díaz

J.M. Díaz is a scholar working on Control and Systems Engineering, Media Technology, Ocean Engineering, Mechanical Engineering and Computational Theory and Mathematics, having authored 42 papers that have together received 443 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (14 papers), Adaptive Control of Nonlinear Systems (11 papers), Ship Hydrodynamics and Maneuverability (8 papers), Modeling and Simulation Systems (6 papers), Dynamics and Control of Mechanical Systems (5 papers), Engineering Education and Pedagogy (4 papers), Hydraulic and Pneumatic Systems (4 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Ocean Engineering (214 citations), Control and Systems Engineering (239 citations), Architecture (10 citations), Media Technology (57 citations) and Computational Mechanics (96 citations). J.M. Díaz has collaborated with scholars based in Spain, United States and France. Frequent co-authors include S. Dormido, S. Esteban, José M. Girón-Sierra, Ramon Costa‐Castelló, Manuel G. Ortega, B. de Andrés-Toro, Francisco R. Rubio, S. Dormido-Canto, E. López and Dictino Chaos. Their work appears in journals such as IEEE Control Systems, IEEE Access, International journal of engineering education, European Journal of Control and International 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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