Daniel Olvera-Trejo

1.3k citations
75 papers · 1.1k · h-index 20

Impact in

Papers in

Daniel Olvera-Trejo

74 papers receiving 1.1k citations

Peers

Daniel Olvera-Trejo
Comparison fields: 5 of 57
  • Modeling and Simulation 244
  • Mechanical Engineering 555
  • Control and Systems Engineering 150
  • Numerical Analysis 25
  • Industrial and Manufacturing Engineering 40
Replace Mohammad Bakhshi-Jooybari with:
Mohammad Bakhshi-Jooybari Iran
Mohammad Yeakub Ali Malaysia
Shijing Wu China
Lei Song China
Qian Ming Yang China
Zhiyong Zhang China
Gang Shen China
Fanwei Meng China
Yongtao Li China
Weifeng Xia China
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Citations per field
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Mohammad Bakhshi-Jooybari · 1×
Citations per year

Countries citing papers authored by Daniel Olvera-Trejo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Olvera-Trejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201276
2 201659
3 201654
4 202153
5 201441
6 202038
7 201636
8 201735
9 201933
10 202033
11 202032
12 202231
13 201630
14 202030
15 202029
16 201526
17 201623
18 201823
19 202021
20 202020

About Daniel Olvera-Trejo

Daniel Olvera-Trejo is a scholar working on Modeling and Simulation, Mechanical Engineering, Control and Systems Engineering, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (21 papers), Advanced machining processes and optimization (20 papers), Vibration and Dynamic Analysis (10 papers), Vibration Control and Rheological Fluids (8 papers), Additive Manufacturing Materials and Processes (6 papers), Mathematical Dynamics and Fractals (3 papers), Electrohydrodynamics and Fluid Dynamics (3 papers) and Chaos control and synchronization (3 papers). The work is most often cited by research in Modeling and Simulation (244 citations), Mechanical Engineering (555 citations), Control and Systems Engineering (150 citations), Numerical Analysis (25 citations) and Industrial and Manufacturing Engineering (40 citations). Daniel Olvera-Trejo has collaborated with scholars based in Mexico, Spain and China. Frequent co-authors include Alex Elı́as-Zúñiga, Oscar Martínez Romero, Luís Norberto López de Lacalle, Luis Manuel Palacios-Pineda, Gorka Urbikaín, Luis Fernando Velásquez–García, Ciro R. Rodriguez, Ming Luo, Francisco J. Campa and Erika García‐López. Their work appears in journals such as Fractals, Polymers, Applied Sciences, Materials and The International Journal of Advanced Manufacturing Technology.

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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