Moisés Rivas-López

1.4k total citations
66 papers, 934 citations indexed

About

Moisés Rivas-López is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Moisés Rivas-López has authored 66 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 34 papers in Electrical and Electronic Engineering and 13 papers in Computer Networks and Communications. Recurrent topics in Moisés Rivas-López's work include Astronomical Observations and Instrumentation (45 papers), Advanced Measurement and Detection Methods (27 papers) and Sensor Technology and Measurement Systems (13 papers). Moisés Rivas-López is often cited by papers focused on Astronomical Observations and Instrumentation (45 papers), Advanced Measurement and Detection Methods (27 papers) and Sensor Technology and Measurement Systems (13 papers). Moisés Rivas-López collaborates with scholars based in Mexico, Ukraine and Germany. Moisés Rivas-López's co-authors include Oleg Sergiyenko, Daniel Hernández‐Balbuena, Julio C. Rodríguez‐Quiñonez, Wendy Flores‐Fuentes, Vera Tyrsa, Lars Lindner, Luis C. Básaca-Preciado, Paolo Mercorelli, Juan Iván Nieto Hipólito and Wilmar Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Sensors.

In The Last Decade

Moisés Rivas-López

61 papers receiving 867 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moisés Rivas-López Mexico 19 498 363 271 134 117 66 934
Daniel Hernández‐Balbuena Mexico 20 552 1.1× 389 1.1× 330 1.2× 170 1.3× 127 1.1× 86 1.1k
Vera Tyrsa Mexico 20 602 1.2× 439 1.2× 312 1.2× 179 1.3× 121 1.0× 82 1.1k
Julio C. Rodríguez‐Quiñonez Mexico 19 464 0.9× 366 1.0× 391 1.4× 100 0.7× 141 1.2× 107 1.1k
Wendy Flores‐Fuentes Mexico 16 322 0.6× 262 0.7× 304 1.1× 89 0.7× 128 1.1× 102 873
Lars Lindner Mexico 13 213 0.4× 173 0.5× 160 0.6× 69 0.5× 71 0.6× 48 528
Viktor Larsson Sweden 20 175 0.4× 348 1.0× 890 3.3× 29 0.2× 81 0.7× 81 1.6k
Chao-Chung Peng Taiwan 17 66 0.1× 148 0.4× 285 1.1× 113 0.8× 190 1.6× 92 1.1k
Mingtao Feng China 17 169 0.3× 49 0.1× 461 1.7× 48 0.4× 53 0.5× 63 909
J. Batlle Spain 14 50 0.1× 68 0.2× 644 2.4× 59 0.4× 74 0.6× 35 949
Riccardo Scopigno Italy 18 161 0.3× 483 1.3× 260 1.0× 418 3.1× 18 0.2× 83 1.1k

Countries citing papers authored by Moisés Rivas-López

Since Specialization
Citations

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

Fields of papers citing papers by Moisés Rivas-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moisés Rivas-López. 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 Moisés Rivas-López. The network helps show where Moisés Rivas-López may publish in the future.

Co-authorship network of co-authors of Moisés Rivas-López

This figure shows the co-authorship network connecting the top 25 collaborators of Moisés Rivas-López. A scholar is included among the top collaborators of Moisés Rivas-López 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 Moisés Rivas-López. Moisés Rivas-López 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
1.
Flores‐Fuentes, Wendy, Oleg Sergiyenko, Julio C. Rodríguez‐Quiñonez, et al.. (2024). Surface color estimation in 3D spatial coordinate remote sensing by a technical vision system. Optical and Quantum Electronics. 56(3).
2.
Flores‐Fuentes, Wendy, Moisés Rivas-López, Daniel Hernández‐Balbuena, et al.. (2020). Estimación de la incertidumbre en un sistema de visión para la evaluación experimental de un mezclador magneto-hidrodinámico. Ingeniería Investigación y Tecnología. 21(4). 1–17. 1 indexed citations
3.
Sergiyenko, Oleg, Wendy Flores‐Fuentes, Julio C. Rodríguez‐Quiñonez, Moisés Rivas-López, & Lars Lindner. (2020). Control theory and signal processing in machine vision for navigation. International Journal of Advanced Robotic Systems. 17(4). 1 indexed citations
4.
Sergiyenko, Oleg, Vera Tyrsa, Lars Lindner, et al.. (2019). Wireless integration to optimize environmental recognition and calculate the trajectory of a group of robots. SHILAP Revista de lepidopterología. 31(2). 67–82. 4 indexed citations
5.
Sergiyenko, Oleg, Vera Tyrsa, Lars Lindner, et al.. (2019). Wireless integration to optimize environmental recognition and calculate the trajectory of a group of robots. Proceedings of the Institute for System Programming of RAS. 31(2). 67–82. 1 indexed citations
6.
Flores‐Fuentes, Wendy, et al.. (2018). Comparison between Different Types of Sensors Used in the Real Operational Environment Based on Optical Scanning System. Sensors. 18(6). 1684–1684. 15 indexed citations
7.
8.
Flores‐Fuentes, Wendy, Oleg Sergiyenko, Félix F. González-Navarro, et al.. (2016). Multivariate outlier mining and regression feedback for 3D measurement improvement in opto-mechanical system. Optical and Quantum Electronics. 48(8). 19 indexed citations
9.
Rivas-López, Moisés, et al.. (2015). Vehicle detection using an infrared light emitter and a photodiode as visualization system. 972–975. 10 indexed citations
10.
Rodríguez‐Quiñonez, Julio C., et al.. (2014). Improve laser detection in CCD for integrated photogrammetry - Laser scanner. 1. 1944–1948. 2 indexed citations
11.
Flores‐Fuentes, Wendy, et al.. (2014). Energy Center Detection in Light Scanning Sensors for Structural Health Monitoring Accuracy Enhancement. IEEE Sensors Journal. 14(7). 2355–2361. 23 indexed citations
12.
Rivas-López, Moisés, et al.. (2014). Scanning for light detection and Energy Centre Localization Methods assesment in vision systems for SHM. 3. 1955–1960. 5 indexed citations
13.
Flores‐Fuentes, Wendy, Julio C. Rodríguez‐Quiñonez, Daniel Hernández‐Balbuena, et al.. (2014). Machine vision supported by artificial intelligence. 3. 1949–1954. 5 indexed citations
14.
Sergiyenko, Oleg, Vera Tyrsa, Moisés Rivas-López, et al.. (2013). Optimization of 3D laser scanning speed by use of combined variable step. Optics and Lasers in Engineering. 54. 141–151. 41 indexed citations
15.
Básaca-Preciado, Luis C., Oleg Sergiyenko, Julio C. Rodríguez‐Quiñonez, & Moisés Rivas-López. (2012). Optoelectronic 3D laser scanning technical vision system based on dynamic triangulation. 648–649. 8 indexed citations
16.
Sergiyenko, Oleg, Daniel Hernández‐Balbuena, Vera Tyrsa, et al.. (2011). Automotive FDS Resolution Improvement by Using the Principle of Rational Approximation. IEEE Sensors Journal. 12(5). 1112–1121. 24 indexed citations
17.
Rivas-López, Moisés, Oleg Sergiyenko, Vera Tyrsa, et al.. (2009). Optoelectronic Method for Structural Health Monitoring. Structural Health Monitoring. 9(2). 105–120. 31 indexed citations
18.
Sergiyenko, Oleg, et al.. (2008). Precise optical scanning for practical multi-applications. 4174. 1656–1661. 18 indexed citations
19.
Valdez, Benjamín, et al.. (2005). El estudio del desierto en instituciones de educación superior: aspectos científicos, humanos y tecnológicos. Revista de la Educación Superior. 34(135). 121–127. 1 indexed citations
20.
Cruz, W. de la, et al.. (2005). Revista de la Educación Superior. 121–127. 1 indexed citations

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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