Daniel Dopico

1.2k citations
62 papers · 954 · h-index 19

Impact in

Papers in

Daniel Dopico

61 papers receiving 933 citations

Peers

Daniel Dopico
Comparison fields: 5 of 63
  • Control and Systems Engineering 743
  • Automotive Engineering 264
  • Numerical Analysis 100
  • Mechanical Engineering 493
  • Civil and Structural Engineering 192
Replace Michael Valášek with:
Michael Valášek Czechia
Miguel Ángel Naya Spain
Miguel A. Serna Spain
Dario Richiedei Italy
Jang Moo Lee South Korea
Georg Rill Germany
Alberto Luaces Spain
Rafael Avilés Spain
Dénes Takács Hungary
Yangjun Pi China
Daniel Dopico relative to Michael Valášek Czechia Michael Valášek's profile →
Citations per field
00.5×2×2.6×
Michael Valášek · 1×
Citations per year

Countries citing papers authored by Daniel Dopico

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dopico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Dopico, 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 Dopico Line = papers co-authored together Daniel Dopico links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 201060
3 200452
4 201448
5 200748
6 201143
7 201143
8 201840
9 200938
10 201436
11 201833
12 200632
13 202132
14 201629
15 200727
16 201123
17 200823
18 201522
19 202420
20 201315

About Daniel Dopico

Daniel Dopico is a scholar working on Control and Systems Engineering, Automotive Engineering, Mechanical Engineering, Numerical Analysis and Civil and Structural Engineering, having authored 62 papers that have together received 954 indexed citations. Recurring topics across this work include Dynamics and Control of Mechanical Systems (52 papers), Vehicle Dynamics and Control Systems (29 papers), Hydraulic and Pneumatic Systems (28 papers), Numerical methods for differential equations (12 papers), Mechanical Engineering and Vibrations Research (8 papers), Real-time simulation and control systems (7 papers), Soil Mechanics and Vehicle Dynamics (6 papers) and Mechanical stress and fatigue analysis (5 papers). The work is most often cited by research in Control and Systems Engineering (743 citations), Automotive Engineering (264 citations), Numerical Analysis (100 citations), Mechanical Engineering (493 citations) and Civil and Structural Engineering (192 citations). Daniel Dopico has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Javier Cuadrado, Manuel González, Miguel Ángel Naya, Alberto Luaces, Corina Sandu, Adrian Sandu, Francisco González, Urbano Lugrís, Roland Pastorino and José Antonio Pérez. Their work appears in journals such as Multibody System Dynamics, Mechanism and Machine Theory, Journal of Computational and Nonlinear Dynamics, Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics and Mechanics Based Design of Structures and Machines.

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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