Reyes Juárez‐Ramírez

1.0k total citations
84 papers, 578 citations indexed

About

Reyes Juárez‐Ramírez is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Reyes Juárez‐Ramírez has authored 84 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Information Systems, 36 papers in Artificial Intelligence and 19 papers in Computer Science Applications. Recurrent topics in Reyes Juárez‐Ramírez's work include Software Engineering Research (20 papers), Software Engineering Techniques and Practices (20 papers) and Intelligent Tutoring Systems and Adaptive Learning (11 papers). Reyes Juárez‐Ramírez is often cited by papers focused on Software Engineering Research (20 papers), Software Engineering Techniques and Practices (20 papers) and Intelligent Tutoring Systems and Adaptive Learning (11 papers). Reyes Juárez‐Ramírez collaborates with scholars based in Mexico, United States and Spain. Reyes Juárez‐Ramírez's co-authors include Samantha Jiménez, Guillermo Licea, Ana I. Molina, Miguel Á. Redondo, Enrique Efrén García-Guerrero, Esteban Tlelo‐Cuautle, Oscar Roberto López-Bonilla, Everardo Inzunza-González, Jesús Favela and Luis G. Martínez and has published in prestigious journals such as International Journal of Information Management, Applied Sciences and Journal of Medical Systems.

In The Last Decade

Reyes Juárez‐Ramírez

78 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reyes Juárez‐Ramírez Mexico 14 285 161 120 84 65 84 578
Gursimran Walia United States 16 596 2.1× 139 0.9× 237 2.0× 205 2.4× 54 0.8× 82 1.0k
Elizabeth Burd United Kingdom 12 334 1.2× 135 0.8× 73 0.6× 160 1.9× 21 0.3× 45 575
Ethan V. Munson United States 13 398 1.4× 277 1.7× 66 0.6× 114 1.4× 23 0.4× 87 683
Windson Viana Brazil 11 171 0.6× 97 0.6× 72 0.6× 30 0.4× 38 0.6× 119 502
Diego Dermeval Brazil 11 219 0.8× 225 1.4× 147 1.2× 32 0.4× 17 0.3× 65 524
Paige Rodeghero United States 12 317 1.1× 150 0.9× 89 0.7× 76 0.9× 42 0.6× 34 456
Greg L. Nelson United States 9 146 0.5× 132 0.8× 268 2.2× 68 0.8× 83 1.3× 18 676
Rodolfo Villarroel Chile 15 286 1.0× 130 0.8× 252 2.1× 27 0.3× 57 0.9× 61 640
Stephan Krusche Germany 15 375 1.3× 152 0.9× 307 2.6× 83 1.0× 16 0.2× 58 660
Ana I. Molina Spain 14 229 0.8× 82 0.5× 207 1.7× 57 0.7× 23 0.4× 86 653

Countries citing papers authored by Reyes Juárez‐Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Reyes Juárez‐Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reyes Juárez‐Ramírez. 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 Reyes Juárez‐Ramírez. The network helps show where Reyes Juárez‐Ramírez may publish in the future.

Co-authorship network of co-authors of Reyes Juárez‐Ramírez

This figure shows the co-authorship network connecting the top 25 collaborators of Reyes Juárez‐Ramírez. A scholar is included among the top collaborators of Reyes Juárez‐Ramírez 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 Reyes Juárez‐Ramírez. Reyes Juárez‐Ramírez 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.
Juárez‐Ramírez, Reyes, et al.. (2024). Exploring the Frontier of Software Engineering Education with Chatbots. Programming and Computer Software. 50(8). 796–815. 1 indexed citations
2.
Juárez‐Ramírez, Reyes, et al.. (2024). The Foundations of Quantum Computing and Their Relation to Software Engineering. Proceedings of the Institute for System Programming of RAS. 36(1). 73–104. 1 indexed citations
3.
Tang, Mei-Huei, et al.. (2024). WIP: ChatVis: Enhancing Academic Team Collaboration through WhatsApp Chat Analytics. 1–5. 1 indexed citations
4.
Juárez‐Ramírez, Reyes, et al.. (2024). Skills Required for Quantum Computing: A Comprehensive Review of Recent Studies. Programming and Computer Software. 50(8). 844–874. 1 indexed citations
5.
Juárez‐Ramírez, Reyes, et al.. (2023). How COVID-19 Pandemic affects Software Developers’ Wellbeing, and the New Trends in Soft Skills in Working from Home. Proceedings of the Institute for System Programming of RAS. 35(1). 35–56. 1 indexed citations
6.
Jiménez, Samantha, et al.. (2023). USQA: A User Story Quality Analyzer prototype for supporting software engineering students. Computer Applications in Engineering Education. 31(4). 1014–1024. 1 indexed citations
7.
Jiménez, Samantha, et al.. (2022). A Usability and Persuasion Evaluation of Mobile Apps for Diabetes Type 2. Programming and Computer Software. 48(8). 552–565. 1 indexed citations
8.
Juárez‐Ramírez, Reyes, et al.. (2022). Attention Measurement of an Autism Spectrum Disorder User Using EEG Signals: A Case Study. Mathematical and Computational Applications. 27(2). 21–21. 26 indexed citations
9.
Juárez‐Ramírez, Reyes, et al.. (2021). Characteristics of a Persuasive Educational System: A Systematic Literature Review. Applied Sciences. 11(21). 10089–10089. 6 indexed citations
10.
Juárez‐Ramírez, Reyes, et al.. (2021). User Story Estimation based on the Complexity Decomposition using Bayesian Networks. Proceedings of the Institute for System Programming of RAS. 33(2). 77–92. 1 indexed citations
11.
12.
Jiménez, Samantha, et al.. (2021). The Role of Personality in Motivation to use an Affective Feedback System. Programming and Computer Software. 47(8). 793–802. 2 indexed citations
13.
14.
Juárez‐Ramírez, Reyes, et al.. (2018). Relations between Touch Target Size and Drag Distance in Mobile Applications for Users with Autism Spectrum Disorders. Journal of Medical Systems. 42(10). 180–180. 1 indexed citations
15.
Juárez‐Ramírez, Reyes, et al.. (2018). ASHuR: Evaluation of the Relation Summary-Content Without Human Reference Using ROUGE. Computing and Informatics. 37(2). 509–532. 6 indexed citations
16.
Juárez‐Ramírez, Reyes, et al.. (2018). What is Programming? Putting all Together - A Set of Skills Required. 11–20. 8 indexed citations
17.
Juárez‐Ramírez, Reyes, et al.. (2017). Usability Operations on Touch Mobile Devices for Users with Autism. Journal of Medical Systems. 41(11). 184–184. 14 indexed citations
18.
Juárez‐Ramírez, Reyes, et al.. (2014). Implementing adaptive interfaces: a use model for the development of usability in interactive systems.. Computer Systems: Science & Engineering. 29. 3 indexed citations
19.
Juárez‐Ramírez, Reyes, et al.. (2014). Filter feature selection performance comparison in high-dimensional data: A theoretical and empirical analysis of most popular algorithms. International Conference on Information Fusion. 1–8. 8 indexed citations
20.
Juárez‐Ramírez, Reyes, et al.. (2011). Towards improving user interfaces: A proposal for integrating functionality and usability since early phases. 1 3. 119–123. 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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