Jorge Rodríguez-Arce

1.2k total citations · 1 hit paper
32 papers, 790 citations indexed

About

Jorge Rodríguez-Arce is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Jorge Rodríguez-Arce has authored 32 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Science Applications, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Mechanical Engineering. Recurrent topics in Jorge Rodríguez-Arce's work include Augmented Reality Applications (4 papers), Teaching and Learning Programming (4 papers) and Teleoperation and Haptic Systems (4 papers). Jorge Rodríguez-Arce is often cited by papers focused on Augmented Reality Applications (4 papers), Teaching and Learning Programming (4 papers) and Teleoperation and Haptic Systems (4 papers). Jorge Rodríguez-Arce collaborates with scholars based in Mexico, Spain and Israel. Jorge Rodríguez-Arce's co-authors include Teresa Gutiérrez, Nirit Gavish, Sabine Webel, Franco Tecchia, Uli Bockholt, Rigoberto Martínez-Méndez, Otniel Portillo-Rodríguez, Ángel Suescun, José Javier Reyes–Lagos and Emilio Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Jorge Rodríguez-Arce

27 papers receiving 753 citations

Hit Papers

Evaluating virtual reality and augmented reality training... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Jorge Rodríguez-Arce
Uli Bockholt Germany
Nirit Gavish Germany
Sabine Webel Germany
Glyn Lawson United Kingdom
Mario Romero United States
Oliver Korn Germany
Uli Bockholt Germany
Jorge Rodríguez-Arce
Citations per year, relative to Jorge Rodríguez-Arce Jorge Rodríguez-Arce (= 1×) peers Uli Bockholt

Countries citing papers authored by Jorge Rodríguez-Arce

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Rodríguez-Arce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Rodríguez-Arce. 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 Rodríguez-Arce. The network helps show where Jorge Rodríguez-Arce may publish in the future.

Co-authorship network of co-authors of Jorge Rodríguez-Arce

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Rodríguez-Arce. A scholar is included among the top collaborators of Jorge Rodríguez-Arce 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 Rodríguez-Arce. Jorge Rodríguez-Arce 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.
Rodríguez-Arce, Jorge, et al.. (2025). Enhancing challenge-based learning with ChatGPT and product design methodologies. SHILAP Revista de lepidopterología. 17(1). 70–85.
2.
Cano, Esteban Vázquez, et al.. (2023). Latent factors on the design and adoption of gamified apps in primary education. Education and Information Technologies. 28(11). 15093–15123. 6 indexed citations
3.
Rodríguez-Arce, Jorge, et al.. (2023). Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learning. SAGE Open. 13(4). 2 indexed citations
4.
Rodríguez-Arce, Jorge, et al.. (2022). Science for society: participatory research and social appropriation of knowledge. 13. 1–2. 1 indexed citations
5.
Rodríguez-Arce, Jorge, et al.. (2022). Towards a Non-Contact Method for Identifying Stress Using Remote Photoplethysmography in Academic Environments. Sensors. 22(10). 3780–3780. 9 indexed citations
6.
Rodríguez-Arce, Jorge, et al.. (2022). Advances and challenges in the detection of academic stress and anxiety in the classroom: A literature review and recommendations. Education and Information Technologies. 28(4). 3637–3666. 31 indexed citations
7.
Martínez-Méndez, Rigoberto, et al.. (2020). Portable electronic device to assess the human balance using a minimum number of sensors. Biomedical Physics & Engineering Express. 6(1). 15027–15027. 1 indexed citations
8.
Rodríguez-Arce, Jorge, et al.. (2020). Towards an anxiety and stress recognition system for academic environments based on physiological features. Computer Methods and Programs in Biomedicine. 190. 105408–105408. 68 indexed citations
9.
García, Salvador G., et al.. (2020). Teaching forward kinematics in a robotics course using simulations: transfer to a real-world context using LEGO mindstorms™. International Journal on Interactive Design and Manufacturing (IJIDeM). 14(3). 773–787. 10 indexed citations
10.
Rodríguez-Arce, Jorge, et al.. (2019). Assessing the performance of soccer goalkeepers based on their cognitive and motor skills. International Journal of Performance Analysis in Sport. 19(5). 655–671. 11 indexed citations
11.
Rodríguez-Arce, Jorge, et al.. (2018). Analysing the effect of the use of 3D simulations on the performance of engineering students in a robotics course: Findings from a pilot study. International Journal of Electrical Engineering Education. 56(2). 163–178. 11 indexed citations
12.
Rodríguez-Arce, Jorge, et al.. (2017). ENHANCING THE LEARNING OF ROBOTICS FOR UNDERGRADUATE STUDENTS THROUGH A SOFTWARE PLATFORM BASED ON CAD DESIGNS AND MATLAB. EDULEARN proceedings. 1. 4615–4619. 2 indexed citations
13.
Rodríguez-Arce, Jorge, et al.. (2017). Impacto del m-learning en el proceso de aprendizaje: habilidades y conocimiento / The Impact Of m-learning On The Learning Process: Skills and Knowledge. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo. 8(15). 363–386. 11 indexed citations
15.
Rodríguez-Arce, Jorge, et al.. (2014). Imporving the Efficiency of Virtual Reality Training by Integrating Partly Observational Learning. The Journal of Interactive Learning Research. 25(4). 487–507. 3 indexed citations
16.
Gavish, Nirit, Teresa Gutiérrez, Sabine Webel, et al.. (2013). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interactive Learning Environments. 23(6). 778–798. 454 indexed citations breakdown →
17.
Gavish, Nirit, Teresa Gutiérrez, Sabine Webel, Jorge Rodríguez-Arce, & Franco Tecchia. (2011). Design Guidelines for the Development of Virtual Reality and Augmented Reality Training Systems for Maintenance and Assembly Tasks. SHILAP Revista de lepidopterología. 1. 29–29. 43 indexed citations
18.
Rodríguez-Arce, Jorge, et al.. (2010). Training strategies for learning a 3D trajectory with accuracy. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–6. 5 indexed citations
19.
Mercado‐Cabrera, A., R. López‐Callejas, A.E. Muñoz-Castro, et al.. (2004). Effect of air-oxygen and argon-oxygen mixtures on dielectric barrier discharge decomposition of toluene. Brazilian Journal of Physics. 34(4b). 1766–1770. 7 indexed citations
20.
Rodríguez-Arce, Jorge. (1983). La didactica de la matematica. 3(6). 5–6. 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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