Jorge D. Rios

1.3k total citations
56 papers, 918 citations indexed

About

Jorge D. Rios is a scholar working on Control and Systems Engineering, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Jorge D. Rios has authored 56 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 18 papers in Cardiology and Cardiovascular Medicine and 10 papers in Artificial Intelligence. Recurrent topics in Jorge D. Rios's work include Adaptive Control of Nonlinear Systems (16 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Cardiac Arrhythmias and Treatments (8 papers). Jorge D. Rios is often cited by papers focused on Adaptive Control of Nonlinear Systems (16 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Cardiac Arrhythmias and Treatments (8 papers). Jorge D. Rios collaborates with scholars based in Mexico, United States and Peru. Jorge D. Rios's co-authors include Rashid A. Massumi, Allan M. Ross, Alma Y. Alanís, Vincent T. De Vita, Donald O. Nutter, Alden S. Gooch, Gary L. Simon, Carlos López-Franco, Nancy Arana‐Daniel and Tali T. Bashour and has published in prestigious journals such as Circulation, American Journal of Epidemiology and CHEST Journal.

In The Last Decade

Jorge D. Rios

48 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge D. Rios Mexico 16 540 136 127 107 102 56 918
Kwan Lee United States 17 582 1.1× 230 1.7× 227 1.8× 29 0.3× 188 1.8× 78 1.1k
John H. Triebwasser United States 14 730 1.4× 296 2.2× 147 1.2× 54 0.5× 60 0.6× 20 1.3k
J. Peter Harris United States 13 90 0.2× 105 0.8× 130 1.0× 44 0.4× 146 1.4× 37 535
Ru Lin China 12 92 0.2× 72 0.5× 200 1.6× 106 1.0× 185 1.8× 44 986
Fatimah Khalid Malaysia 17 248 0.5× 79 0.6× 97 0.8× 12 0.1× 61 0.6× 101 894
Eric Helfenbein United States 14 673 1.2× 40 0.3× 148 1.2× 35 0.3× 48 0.5× 50 832
M.T. Nguyen France 15 235 0.4× 87 0.6× 75 0.6× 20 0.2× 26 0.3× 50 562
Fu‐Chun Chiu Taiwan 15 319 0.6× 38 0.3× 106 0.8× 84 0.8× 40 0.4× 52 753
Young‐Jin Moon South Korea 20 205 0.4× 59 0.4× 293 2.3× 69 0.6× 139 1.4× 109 1.5k
Zhi Xiong Koh Singapore 16 298 0.6× 85 0.6× 127 1.0× 16 0.1× 35 0.3× 37 754

Countries citing papers authored by Jorge D. Rios

Since Specialization
Citations

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

Fields of papers citing papers by Jorge D. Rios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge D. Rios. 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 Jorge D. Rios. The network helps show where Jorge D. Rios may publish in the future.

Co-authorship network of co-authors of Jorge D. Rios

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge D. Rios. A scholar is included among the top collaborators of Jorge D. Rios 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 Jorge D. Rios. Jorge D. Rios 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
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Rios, Jorge D., et al.. (2023). Exponential sliding mode controller for tracking trajectory of nonlinear systems. Transactions of the Institute of Measurement and Control. 46(6). 1058–1068. 2 indexed citations
4.
Rios, Jorge D., et al.. (2022). Impulsive Pinning Control of Discrete-Time Complex Networks with Time-Varying Connections. Mathematics. 10(21). 4051–4051. 1 indexed citations
5.
Rios, Jorge D., et al.. (2022). A Metaheuristic Optimization Approach to Solve Inverse Kinematics of Mobile Dual-Arm Robots. Mathematics. 10(21). 4135–4135. 4 indexed citations
6.
Rios, Jorge D., et al.. (2022). Formation Control of Mobile Robots Based on Pin Control of Complex Networks. Machines. 10(10). 898–898. 5 indexed citations
7.
Rios, Jorge D., et al.. (2021). Adaptive neural PD controllers for mobile manipulator trajectory tracking. PeerJ Computer Science. 7. e393–e393. 4 indexed citations
8.
Rios, Jorge D., et al.. (2020). Adaptive Single Neuron Anti-Windup PID Controller Based on the Extended Kalman Filter Algorithm. Electronics. 9(4). 636–636. 15 indexed citations
9.
Alanís, Alma Y., et al.. (2020). Discrete-Time Neural Control of Quantized Nonlinear Systems with Delays: Applied to a Three-Phase Linear Induction Motor. Electronics. 9(8). 1274–1274. 4 indexed citations
10.
Rios, Jorge D., Alma Y. Alanís, Nancy Arana‐Daniel, & Carlos López-Franco. (2020). Real‐time neural observer‐based controller for unknown nonlinear discrete delayed systems. International Journal of Robust and Nonlinear Control. 30(18). 8402–8429. 5 indexed citations
11.
Alanís, Alma Y., et al.. (2020). Real-time neural control of all-terrain tracked robots with unknown dynamics andnetwork communication delays. Ingeniería Investigación y Tecnología. 21(3). 1–12.
12.
Mayta‐Tovalino, Frank, et al.. (2019). Development and Formulation of the Experimental Dentifrice Based on Passiflora mollissima (Tumbo) with and without Fluoride Anion: Antibacterial Activity on Seven Antimicrobial Strains. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
13.
Ornelas-Téllez, Fernando, Alma Y. Alanís, Jorge D. Rios, & Mario Graff. (2018). Reduced‐order Observer for State‐dependent Coefficient Factorized Nonlinear Systems. Asian Journal of Control. 21(3). 1216–1227. 6 indexed citations
14.
Rios, Jorge D., et al.. (2017). Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot. Applied Sciences. 8(1). 31–31. 13 indexed citations
15.
Rios, Jorge D., Alma Y. Alanís, Carlos López-Franco, & Nancy Arana‐Daniel. (2017). RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays. Journal of the Franklin Institute. 355(1). 218–249. 14 indexed citations
16.
Alanís, Alma Y., Jorge D. Rios, Jorge Rivera, Nancy Arana‐Daniel, & Carlos López-Franco. (2015). Real-time discrete neural control applied to a Linear Induction Motor. Neurocomputing. 164. 240–251. 15 indexed citations
17.
Simon, Gary L., et al.. (1989). Prevalence of cardiac abnormalities in human immunodeficiency virus infection. The American Journal of Cardiology. 63(1). 86–89. 89 indexed citations
18.
Wasserman, Alan G., et al.. (1983). Anterior ST segment depression during acute inferior myocardial infarction: Evidence for the reciprocal change theory. American Heart Journal. 106(3). 516–520. 57 indexed citations
19.
Rios, Jorge D., et al.. (1974). P Wave Analysis in Coronary Artery Disease: An Electrocardiographic-Angiographic and Hemodynamic Correlation. CHEST Journal. 66(2). 146–150. 15 indexed citations
20.
Massumi, Rashid A., et al.. (1965). THE PATHOGENESIS OF ANGIOGRAPHIC NONVISUALIZATION OR ATTENUATION OF A PATENT PULMONARY ARTERY AND THE ROLE OF BRONCHIAL ARTERY-PULMONARY ARTERY ANASTOMOSIS. Journal of Thoracic and Cardiovascular Surgery. 49(5). 772–789. 15 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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