Juan D. Velásquez

2.1k total citations
71 papers, 1.3k citations indexed

About

Juan D. Velásquez is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Juan D. Velásquez has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Information Systems, 31 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Juan D. Velásquez's work include Web Data Mining and Analysis (24 papers), Recommender Systems and Techniques (16 papers) and Advanced Text Analysis Techniques (11 papers). Juan D. Velásquez is often cited by papers focused on Web Data Mining and Analysis (24 papers), Recommender Systems and Techniques (16 papers) and Advanced Text Analysis Techniques (11 papers). Juan D. Velásquez collaborates with scholars based in Chile, Japan and Australia. Juan D. Velásquez's co-authors include Jorge Balazs, Felipe Bravo-Márquez, Edison Marrese-Taylor, Vasile Palade, Terumasa Aoki, Hiroshi Yasuda, Pablo E. Román, Xiaohui Tao, Yutaka Matsuo and Ram Sarkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Juan D. Velásquez

70 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan D. Velásquez Chile 20 654 432 177 132 108 71 1.3k
Weitong Chen Australia 16 667 1.0× 388 0.9× 120 0.7× 137 1.0× 53 0.5× 53 1.3k
Mária Bieliková Slovakia 19 790 1.2× 865 2.0× 176 1.0× 200 1.5× 102 0.9× 186 1.6k
Ioannis Arapakis Spain 17 548 0.8× 719 1.7× 178 1.0× 259 2.0× 92 0.9× 39 1.3k
Nava Tintarev United Kingdom 17 688 1.1× 697 1.6× 167 0.9× 242 1.8× 62 0.6× 49 1.3k
Robert Farrell United States 15 707 1.1× 266 0.6× 77 0.4× 77 0.6× 129 1.2× 42 1.4k
Adam Fourney United States 18 636 1.0× 264 0.6× 159 0.9× 231 1.8× 281 2.6× 54 1.5k
Amos Azaria Israel 17 548 0.8× 370 0.9× 262 1.5× 97 0.7× 51 0.5× 76 1.2k
Denis Parra Chile 22 550 0.8× 760 1.8× 236 1.3× 429 3.3× 69 0.6× 93 1.5k
Anthony Jameson Germany 16 466 0.7× 397 0.9× 93 0.5× 196 1.5× 185 1.7× 57 1.0k
Ig Ibert Bittencourt Brazil 24 721 1.1× 650 1.5× 298 1.7× 99 0.8× 156 1.4× 193 2.3k

Countries citing papers authored by Juan D. Velásquez

Since Specialization
Citations

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

Fields of papers citing papers by Juan D. Velásquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan D. Velásquez

This figure shows the co-authorship network connecting the top 25 collaborators of Juan D. Velásquez. A scholar is included among the top collaborators of Juan D. Velásquez 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 Juan D. Velásquez. Juan D. Velásquez 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.
Li, Lin, et al.. (2023). Information fusion in crime event analysis: A decade survey on data, features and models. Information Fusion. 100. 101904–101904. 8 indexed citations
2.
Li, Lin, et al.. (2023). Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. Information Fusion. 99. 101862–101862. 27 indexed citations
4.
Fernández‐Manjón, Baltasar, Fernando Henríquez, Philippe Robert, et al.. (2023). The limitations and challenges in the assessment of executive dysfunction associated with real-world functioning: The opportunity of serious games. Applied Neuropsychology Adult. 32(2). 557–573. 10 indexed citations
5.
Velásquez, Juan D., et al.. (2023). Inteligencia artificial al servicio de la salud del futuro. SHILAP Revista de lepidopterología. 34(1). 84–91. 7 indexed citations
6.
Tao, Xiaohui & Juan D. Velásquez. (2022). Multi-source information fusion for smart health with artificial intelligence. Information Fusion. 83-84. 93–95. 18 indexed citations
7.
Velásquez, Juan D., et al.. (2017). Twitter for marijuana infodemiology. Universidad de Chile. 730–736. 4 indexed citations
8.
Blanco, Ángel del, et al.. (2017). Using game authoring platforms to develop screen-based simulated functional assessments in persons with executive dysfunction following traumatic brain injury. Journal of Biomedical Informatics. 74. 71–84. 19 indexed citations
9.
Velásquez, Juan D., et al.. (2017). Akori: A Tool Based in Eye-Tracking Techniques for Analyzing Web User Behaviour on a Web Site. Universidad de Chile. 1. 635–640. 1 indexed citations
10.
Velásquez, Juan D., et al.. (2015). Web User Click Intention Prediction by Using Pupil Dilation Analysis. 433–436. 10 indexed citations
11.
Román, Pablo E. & Juan D. Velásquez. (2012). A cognitive model of the web user. 605–614. 1 indexed citations
12.
Velásquez, Juan D., et al.. (2012). Characterization and detection of taxpayers with false invoices using data mining techniques. Expert Systems with Applications. 40(5). 1427–1436. 73 indexed citations
13.
Ríos, Sebastián A. & Juan D. Velásquez. (2008). Semantic Web Usage Mining by a Concept-Based Approach for Off-line Web Site Enhancements. 234–241. 9 indexed citations
14.
Velásquez, Juan D. & Vasile Palade. (2007). BUILDING A KNOWLEDGE BASE FOR IMPLEMENTING A WEB-BASED COMPUTERIZED RECOMMENDATION SYSTEM. International Journal of Artificial Intelligence Tools. 16(5). 793–828. 13 indexed citations
15.
Ríos, Sebastián A., Juan D. Velásquez, Hiroshi Yasuda, & Terumasa Aoki. (2007). A hybrid system for concept-based web usage mining. International Journal of Hybrid Intelligent Systems. 3(4). 219–235. 4 indexed citations
16.
Ríos, Sebastián A., et al.. (2006). Improving Web Site Content Using a Concept-Based Knowledge Discovery Process. 361–365. 3 indexed citations
17.
Velásquez, Juan D., Richard W. Weber, Hiroshi Yasuda, & Terumasa Aoki. (2005). Acquisition and Maintenance of Knowledge for Online Navigation Suggestions(Artificial Intelligence and Cognitive Science). IEICE Transactions on Information and Systems. 88(5). 993–1003. 2 indexed citations
18.
Velásquez, Juan D., Hiroshi Yasuda, Terumasa Aoki, & Richard W. Weber. (2004). A New Similarity Measure to Understand Visitor Behavior in a Web Site. IEICE Transactions on Information and Systems. 87(2). 389–396. 22 indexed citations
19.
Velásquez, Juan D., et al.. (2004). Identifying Keywords to Improve a Web Site Text Content.. 4 indexed citations
20.
Velásquez, Juan D., Hiroshi Yasuda, Terumasa Aoki, & Richard W. Weber. (2003). A generic Data Mart architecture to support Web mining. 29. 389–399. 4 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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