Daniel Olvera-Trejo

1.5k citations
84 papers · 1.2k · h-index 21

Impact in

Papers in

Daniel Olvera-Trejo

81 papers receiving 1.2k citations

Peers

Daniel Olvera-Trejo
Comparison fields: 5 of 84
  • Modeling and Simulation 197
  • Industrial and Manufacturing Engineering 183
  • Mechanical Engineering 671
  • Statistical and Nonlinear Physics 136
  • Biomedical Engineering 459
Replace Marek Borowiec with:
Marek Borowiec Poland
Shijing Wu China
Hamid Zahrouni France
Stephen Lin United States
Jörg Brummund Germany
Metin O. Kaya Türkiye
Sebastian Müller Germany
Leiting Dong China
Ziyad N. Masoud Jordan
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Citations per field
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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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 201156
3 201653
4 201651
5 201148
6 202142
7 201440
8 202037
9 201732
10 201632
11 202031
12 201630
13 201930
14 202030
15 202030
16 202029
17 201525
18 202225
19 201824
20 201624

About Daniel Olvera-Trejo

Daniel Olvera-Trejo is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Modeling and Simulation and Civil and Structural Engineering, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (25 papers), Advanced Surface Polishing Techniques (17 papers), Fractional Differential Equations Solutions (14 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), Manufacturing Process and Optimization (8 papers), Chaos control and synchronization (8 papers), Advanced Machining and Optimization Techniques (8 papers) and Additive Manufacturing Materials and Processes (7 papers). The work is most often cited by research in Modeling and Simulation (197 citations), Industrial and Manufacturing Engineering (183 citations), Mechanical Engineering (671 citations), Statistical and Nonlinear Physics (136 citations) and Biomedical Engineering (459 citations). Daniel Olvera-Trejo has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Alex Elı́as-Zúñiga, Luís Norberto López de Lacalle, Óscar Martínez-Romero, Luis Manuel Palacios-Pineda, Gorka Urbikaín, Luis Fernando Velásquez‐García, Ciro A. Rodrı́guez, Francisco J. Campa, Ming Luo and Aitzol Lamíkiz. Their work appears in journals such as Fractals, Polymers, Applied Sciences, The International Journal of Advanced Manufacturing Technology and Mechanical Systems and Signal Processing.

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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