J.V. Salcedo

560 total citations
38 papers, 375 citations indexed

About

J.V. Salcedo is a scholar working on Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, J.V. Salcedo has authored 38 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Control and Systems Engineering, 6 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in J.V. Salcedo's work include Fault Detection and Control Systems (15 papers), Advanced Control Systems Optimization (15 papers) and Control Systems and Identification (9 papers). J.V. Salcedo is often cited by papers focused on Fault Detection and Control Systems (15 papers), Advanced Control Systems Optimization (15 papers) and Control Systems and Identification (9 papers). J.V. Salcedo collaborates with scholars based in Spain, United States and Denmark. J.V. Salcedo's co-authors include M. Martínez, Javier Sanchis, Sergio García-Nieto, Xavier Blasco, D. Laurı́, J.M. Herrero, Paúl D. Rosero-Montalvo, M. Lucio Martínez, Robert H. Bishop and Federico Paredes-Vallés and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

J.V. Salcedo

34 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.V. Salcedo Spain 11 218 54 47 43 37 38 375
Martin Klaučo Slovakia 13 323 1.5× 22 0.4× 41 0.9× 21 0.5× 44 1.2× 49 475
André S. Yamashita Sweden 12 243 1.1× 24 0.4× 65 1.4× 10 0.2× 34 0.9× 20 384
N. Pappa India 11 190 0.9× 20 0.4× 77 1.6× 24 0.6× 16 0.4× 70 404
Enso Ikonen Finland 10 256 1.2× 15 0.3× 79 1.7× 11 0.3× 11 0.3× 66 438
M.R. Katebi United Kingdom 13 563 2.6× 38 0.7× 77 1.6× 17 0.4× 11 0.3× 76 650
D. Neumerkel Germany 5 209 1.0× 12 0.2× 41 0.9× 155 3.6× 21 0.6× 9 458
Mark L. Darby United States 7 666 3.1× 13 0.2× 78 1.7× 28 0.7× 17 0.5× 12 744
Qiugang Lu United States 15 538 2.5× 22 0.4× 105 2.2× 48 1.1× 51 1.4× 45 694
Tadanari Taniguchi Japan 8 261 1.2× 19 0.4× 30 0.6× 18 0.4× 33 0.9× 30 394
Xiaojian Xu China 5 200 0.9× 10 0.2× 90 1.9× 36 0.8× 10 0.3× 7 351

Countries citing papers authored by J.V. Salcedo

Since Specialization
Citations

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

Fields of papers citing papers by J.V. Salcedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.V. Salcedo. 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.V. Salcedo. The network helps show where J.V. Salcedo may publish in the future.

Co-authorship network of co-authors of J.V. Salcedo

This figure shows the co-authorship network connecting the top 25 collaborators of J.V. Salcedo. A scholar is included among the top collaborators of J.V. Salcedo 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.V. Salcedo. J.V. Salcedo 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.
García-Nieto, Sergio, et al.. (2024). Fuzzy Modeling Framework Using Sector Non-Linearity Techniques for Fixed-Wing Aircrafts. Aerospace. 11(4). 258–258. 1 indexed citations
2.
3.
Salcedo, J.V., et al.. (2023). Mobile robotics in smart farming: current trends and applications. Frontiers in Artificial Intelligence. 6. 1213330–1213330. 37 indexed citations
4.
Sanchis, Javier, et al.. (2023). Conditional scenario-based model predictive control. Journal of the Franklin Institute. 360(10). 6880–6905. 2 indexed citations
5.
García-Nieto, Sergio, et al.. (2022). Co-simulation platform for geometric design, trajectory control and guidance of racing drones. International Journal of Micro Air Vehicles. 14. 1 indexed citations
6.
García-Nieto, Sergio, et al.. (2021). Experimental study on the dynamic behaviour of drones designed for racing competitions. International Journal of Micro Air Vehicles. 13. 6 indexed citations
7.
García-Nieto, Sergio, et al.. (2021). Quadcopters Testing Platform for Educational Environments. Sensors. 21(12). 4134–4134. 12 indexed citations
8.
Sanchis, Javier, et al.. (2020). A Comparative Study of Stochastic Model Predictive Controllers. Electronics. 9(12). 2078–2078. 22 indexed citations
9.
Salcedo, J.V., et al.. (2020). T–S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws. International Journal of Applied Mathematics and Computer Science. 30(3). 4 indexed citations
10.
García-Nieto, Sergio, et al.. (2019). Motion Equations and Attitude Control in the Vertical Flight of a VTOL Bi-Rotor UAV. Electronics. 8(2). 208–208. 19 indexed citations
11.
Garcı́a-Bernabeu, Ana, et al.. (2019). Computing the Mean‐Variance‐Sustainability Nondominated Surface by ev‐MOGA. Complexity. 2019(1). 8 indexed citations
12.
Salcedo, J.V., et al.. (2018). Bibo Stabilisation of Continuous–Time Takagi–Sugeno Systems under Persistent Perturbations and Input Saturation. International Journal of Applied Mathematics and Computer Science. 28(3). 457–472. 2 indexed citations
13.
Salcedo, J.V. & M. Martínez. (2010). Identificación de Modelos LPV para el Control de Sistemas No Lineales. Revista Iberoamericana de Automática e Informática Industrial RIAI. 3(3). 92–107. 2 indexed citations
14.
García-Nieto, Sergio, M. Martínez, J.V. Salcedo, & D. Laurı́. (2010). Practice tool based on open source SCADA for experimentation in nonlinear control using the inverted pendulum. Computer Applications in Engineering Education. 20(1). 137–148. 1 indexed citations
15.
García-Nieto, Sergio, J.V. Salcedo, D. Laurı́, & M. Martínez. (2009). Discrete Forward-Backward Fuzzy Predictive Control. 739–744.
16.
Martínez, M. & J.V. Salcedo. (2008). ProPID: an interactive cad tool for control education. International journal of engineering education. 24(6). 1191–1198. 1 indexed citations
17.
Salcedo, J.V., M. Martínez, & Sergio García-Nieto. (2008). Stabilization conditions of fuzzy systems under persistent perturbations and their application in nonlinear systems. Engineering Applications of Artificial Intelligence. 21(8). 1264–1276. 8 indexed citations
18.
Salcedo, J.V., M. Martínez, Xavier Blasco, & Javier Sanchis. (2007). BIBO fuzzy stabilization of nonlinear systems under persistent perturbations. 763–769. 1 indexed citations
19.
Salcedo, J.V., M. Martínez, Xavier Blasco, & Javier Sanchis. (2002). PROPERTIES OF MGPC DESIGNED IN STATE SPACE. IFAC Proceedings Volumes. 35(1). 171–176. 2 indexed citations
20.
Salcedo, J.V., M. Martínez, Javier Sanchis, & Xavier Blasco. (2001). Design of GPC's in State Space*. Automatika. 42. 159–167. 7 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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