J. E. Lavín-Delgado

422 total citations
24 papers, 300 citations indexed

About

J. E. Lavín-Delgado is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Modeling and Simulation. According to data from OpenAlex, J. E. Lavín-Delgado has authored 24 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Modeling and Simulation. Recurrent topics in J. E. Lavín-Delgado's work include Advanced Control Systems Design (8 papers), Fractional Differential Equations Solutions (7 papers) and Adaptive Control of Nonlinear Systems (5 papers). J. E. Lavín-Delgado is often cited by papers focused on Advanced Control Systems Design (8 papers), Fractional Differential Equations Solutions (7 papers) and Adaptive Control of Nonlinear Systems (5 papers). J. E. Lavín-Delgado collaborates with scholars based in Mexico, Puerto Rico and Taiwan. J. E. Lavín-Delgado's co-authors include J. F. Gómez‐Aguilar, R.F. Escobar-Jiménez, J.E. Solís-Pérez, Sina Etemad, Shahram Rezapour, V. H. Olivares-Peregrino, Kolade M. Owolabi, Guillermo Fernández‐Anaya, Shaban Aly and Zulqurnain Sabir and has published in prestigious journals such as Chaos Solitons & Fractals, Computer Methods and Programs in Biomedicine and Applied Mathematical Modelling.

In The Last Decade

J. E. Lavín-Delgado

21 papers receiving 288 citations

Peers

J. E. Lavín-Delgado

CSE

CVPR

SNP

Artur Babiarz Poland

Huaying Li China

Thomas Hélie France

Yunpeng Ma China

Hamed Hashemi Mehne Iran

A. Ranjbar Iran

Nguyễn Hữu Công Vietnam

Wen Cao China

Markus Wacker Germany

Artur Babiarz Poland

J. E. Lavín-Delgado

335 ×3.5

CSE

130 ×1.3

39 ×0.6

CVPR

23 ×0.5

SNP

58 ×1.8

Citations per year, relative to J. E. Lavín-Delgado J. E. Lavín-Delgado (= 1×) peers Artur Babiarz

Countries citing papers authored by J. E. Lavín-Delgado

Since Specialization

Citations

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

Fields of papers citing papers by J. E. Lavín-Delgado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Lavín-Delgado. 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. E. Lavín-Delgado. The network helps show where J. E. Lavín-Delgado may publish in the future.

Co-authorship network of co-authors of J. E. Lavín-Delgado

This figure shows the co-authorship network connecting the top 25 collaborators of J. E. Lavín-Delgado. A scholar is included among the top collaborators of J. E. Lavín-Delgado 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 J. E. Lavín-Delgado. J. E. Lavín-Delgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lavín-Delgado, J. E., et al.. (2025). On the estimation of optical flow: A novel robust estimation based in fractional derivatives with kernel exponential. Advances in Complex Systems. 16(4).

Lavín-Delgado, J. E., et al.. (2025). Controlling a quadrotor UAV flight using a fractional Caputo–Fabrizio backstepping control for trajectory tracking tasks. International Journal of Dynamics and Control. 13(8).

Lavín-Delgado, J. E., et al.. (2024). Trajectory tracking of a mobile robot manipulator using fractional backstepping sliding mode and neural network control methods. International Journal of Modelling and Simulation. 1–18. 1 indexed citations

Rajeev, Rajeev, et al.. (2024). A front-fixing numerical method for a fluvio-deltaic sedimentation process with thespace fractional derivative and variable sediment flux. Physica Scripta. 99(10). 105259–105259. 2 indexed citations

Rajeev, Rajeev, et al.. (2024). A novel approximation method for two dimensional phase transfer problem in a moving domain with heat generation parameter. Physica Scripta. 100(2). 25259–25259.

Alderremy, A. A., et al.. (2024). Numerical performances based artificial neural networks to deal with the computer viruses spread on the complex networks. International Journal of Computer Mathematics. 101(3). 314–330. 10 indexed citations

Gómez‐Aguilar, J. F., et al.. (2024). APPLICATION OF FRACTIONAL-ORDER INTEGRAL TRANSFORMS IN THE DIAGNOSIS OF ELECTRICAL SYSTEM CONDITIONS. Fractals. 32(3). 2 indexed citations

Alderremy, A. A., et al.. (2024). Radial basis neural network for the hard water consumption with kidney model. International Journal of Geometric Methods in Modern Physics. 22(12). 5 indexed citations

Lavín-Delgado, J. E., et al.. (2024). An Improved Object Detection Algorithm Based on the Hessian Matrix and Conformable Derivative. Circuits Systems and Signal Processing. 43(8). 4991–5047. 5 indexed citations

10.

Lavín-Delgado, J. E., et al.. (2023). Trajectory tracking of Stanford robot manipulator by fractional-order sliding mode control. Applied Mathematical Modelling. 120. 436–462. 37 indexed citations

11.

Gómez‐Aguilar, J. F., et al.. (2023). A RGB image encryption technique using chaotic maps of fractional variable-order based on DNA encoding. Chaos Solitons & Fractals. 177. 114306–114306. 17 indexed citations

12.

Lavín-Delgado, J. E., et al.. (2023). An efficient technique for object recognition using fractional Harris–Stephens corner detection algorithm. Multimedia Tools and Applications. 83(8). 23173–23199. 4 indexed citations

13.

Lavín-Delgado, J. E., et al.. (2022). Intelligent Neural Integral Sliding-mode Controller for a space robotic manipulator mounted on a free-floating satellite. Advances in Space Research. 71(9). 3734–3747. 14 indexed citations

14.

Lavín-Delgado, J. E., et al.. (2022). Controlling a quadrotor UAV by means of a fractional nested saturation control. Advances in Space Research. 71(9). 3822–3836. 7 indexed citations

15.

Lavín-Delgado, J. E., J.E. Solís-Pérez, J. F. Gómez‐Aguilar, & R.F. Escobar-Jiménez. (2020). Trajectory tracking control based on non-singular fractional derivatives for the PUMA 560 robot arm. Multibody System Dynamics. 50(3). 259–303. 22 indexed citations

16.

Lavín-Delgado, J. E., et al.. (2020). FRACTIONAL-ORDER PASSIVITY-BASED ADAPTIVE CONTROLLER FOR A ROBOT MANIPULATOR TYPE SCARA. Fractals. 28(8). 2040008–2040008. 11 indexed citations

17.

Kumar, Sachin, J. F. Gómez‐Aguilar, J. E. Lavín-Delgado, & Dumitru Bǎleanu. (2020). Derivation of operational matrix of Rabotnov fractional-exponential kernel and its application to fractional Lienard equation. Alexandria Engineering Journal. 59(5). 2991–2997. 8 indexed citations

18.

Owolabi, Kolade M., et al.. (2020). Modelling of Chaotic Processes with Caputo Fractional Order Derivative. Entropy. 22(9). 1027–1027. 22 indexed citations

19.

Lavín-Delgado, J. E., J.E. Solís-Pérez, J. F. Gómez‐Aguilar, & R.F. Escobar-Jiménez. (2019). A New Fractional-Order Mask for Image Edge Detection Based on Caputo–Fabrizio Fractional-Order Derivative Without Singular Kernel. Circuits Systems and Signal Processing. 39(3). 1419–1448. 34 indexed citations

20.

Lavín-Delgado, J. E., et al.. (2013). Development of a system based on 3D vision, interactive virtual environments, ergonometric signals and a humanoid for stroke rehabilitation. Computer Methods and Programs in Biomedicine. 112(2). 239–249. 53 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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