J.J. Castro-Schez

1.0k total citations
71 papers, 623 citations indexed

About

J.J. Castro-Schez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, J.J. Castro-Schez has authored 71 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in J.J. Castro-Schez's work include Fuzzy Logic and Control Systems (10 papers), Virtual Reality Applications and Impacts (10 papers) and Data Management and Algorithms (9 papers). J.J. Castro-Schez is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Virtual Reality Applications and Impacts (10 papers) and Data Management and Algorithms (9 papers). J.J. Castro-Schez collaborates with scholars based in Spain, United Kingdom and United States. J.J. Castro-Schez's co-authors include David Vallejo, Javier Albusac, C. Glez-Morcillo, Juan Luis Castro, J.M. Zurita, Luis Jiménez, Miguel Á. Redondo, Xudong Luo, Luis Rodríguez-Benítez and Nicholas R. Jennings and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

J.J. Castro-Schez

64 papers receiving 576 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.J. Castro-Schez Spain 14 263 147 138 67 58 71 623
David Vallejo Spain 14 156 0.6× 110 0.7× 179 1.3× 75 1.1× 62 1.1× 67 568
Kin Fun Li Canada 14 173 0.7× 174 1.2× 154 1.1× 120 1.8× 68 1.2× 90 686
Gracián Triviño Spain 16 440 1.7× 79 0.5× 186 1.3× 63 0.9× 10 0.2× 59 776
K. G. Srinivasa India 15 356 1.4× 228 1.6× 114 0.8× 128 1.9× 34 0.6× 129 821
Jin Guo Canada 15 288 1.1× 447 3.0× 62 0.4× 116 1.7× 84 1.4× 70 791
Victor R.L. Shen Taiwan 13 238 0.9× 127 0.9× 174 1.3× 144 2.1× 14 0.2× 74 669
Mithileysh Sathiyanarayanan India 14 117 0.4× 147 1.0× 154 1.1× 124 1.9× 7 0.1× 98 682
Ngo Tung Son Vietnam 15 141 0.5× 103 0.7× 130 0.9× 66 1.0× 49 0.8× 58 523
Ricardo Tesoriero Spain 13 112 0.4× 321 2.2× 104 0.8× 156 2.3× 69 1.2× 65 817

Countries citing papers authored by J.J. Castro-Schez

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Castro-Schez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.J. Castro-Schez

This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Castro-Schez. A scholar is included among the top collaborators of J.J. Castro-Schez 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.J. Castro-Schez. J.J. Castro-Schez 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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Albusac, Javier, J.J. Castro-Schez, C. Glez-Morcillo, et al.. (2025). Creating adapted environments: enhancing accessibility in virtual reality for upper limb rehabilitation through automated element adjustment. Virtual Reality. 29(1). 3 indexed citations
3.
Vallejo, David, et al.. (2025). Explainable AI-driven decision support system for personalizing rehabilitation routines in stroke recovery. Progress in Artificial Intelligence. 4 indexed citations
4.
Albusac, Javier, et al.. (2024). MR-LEAP: Mixed-Reality Learning Environment for Aspirational Programmers. Software Impacts. 20. 100648–100648. 1 indexed citations
5.
6.
Albusac, Javier, et al.. (2024). Exploring Interaction Mechanisms and Perceived Realism in Different Virtual Reality Shopping Setups. 505–512. 1 indexed citations
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Vallejo, David, et al.. (2023). Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation. SoftwareX. 23. 101412–101412. 11 indexed citations
9.
Castro-Schez, J.J., C. Glez-Morcillo, Javier Albusac, & David Vallejo. (2020). An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning. Information Sciences. 544. 446–468. 39 indexed citations
10.
Vallejo, David, et al.. (2020). Personalized Exergames Language: A Novel Approach to the Automatic Generation of Personalized Exergames for Stroke Patients. Applied Sciences. 10(20). 7378–7378. 14 indexed citations
11.
Albusac, Javier, J.J. Castro-Schez, Miguel Castro‐García, Juan Carlos Pérez‐Flores, & Jesús Canales‐Vázquez. (2020). Design and Evaluation of a System for Decentralized Management of Solidarity Actions during the COVID-19 Crisis. Applied Sciences. 10(22). 8064–8064. 1 indexed citations
12.
Vallejo, David, J.J. Castro-Schez, C. Glez-Morcillo, & Javier Albusac. (2019). Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes. Engineering Applications of Artificial Intelligence. 87. 103243–103243. 27 indexed citations
13.
Vallejo, David, et al.. (2019). An Agent-based Approach to Physical Rehabilitation of Patients affected by Neurological Diseases. Procedia Computer Science. 160. 346–353. 2 indexed citations
14.
Albusac, Javier, David Vallejo, Luis Jiménez, J.J. Castro-Schez, & C. Glez-Morcillo. (2012). Combining degrees of normality analysis in intelligent surveillance systems. International Conference on Information Fusion. 2436–2443. 1 indexed citations
15.
Glez-Morcillo, C., Gerhard Weiß, David Vallejo, Luis Jiménez, & J.J. Castro-Schez. (2010). A MULTIAGENT ARCHITECTURE FOR 3D RENDERING OPTIMIZATION. Applied Artificial Intelligence. 24(4). 313–349. 6 indexed citations
16.
Castro-Schez, J.J., et al.. (2010). A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals. Expert Systems with Applications. 38(3). 2441–2454. 58 indexed citations
17.
Aranda, Gabriela N., Alejandra Cechich, Aurora Vizcaíno, & J.J. Castro-Schez. (2004). Using fuzzy sets to analyse personal preferences on groupware tools. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 10 indexed citations
18.
Castro-Schez, J.J., Juan Luis Castro, & J.M. Zurita. (2004). Fuzzy Repertory Table: A Method for Acquiring Knowledge About Input Variables to Machine Learning Algorithm. IEEE Transactions on Fuzzy Systems. 12(1). 123–139. 18 indexed citations
19.
Moreno‐García, Juan, Luis Jiménez, J.J. Castro-Schez, & Luis Rodríguez-Benítez. (2003). Induction of Temporal Fuzzy Chains.. International Conference on Enterprise Information Systems. 308–315.
20.
Moreno‐García, Juan, Luis Jiménez, J.J. Castro-Schez, & José Á. Olivas. (2002). Temporal Fuzzy Model for Dynamic Systems.. International Conference on Artificial Intelligence. 231–238. 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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