Elena Verdú

1.4k total citations
70 papers, 905 citations indexed

About

Elena Verdú is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Elena Verdú has authored 70 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 17 papers in Computer Science Applications and 13 papers in Education. Recurrent topics in Elena Verdú's work include Online Learning and Analytics (12 papers), Online and Blended Learning (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Elena Verdú is often cited by papers focused on Online Learning and Analytics (12 papers), Online and Blended Learning (7 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Elena Verdú collaborates with scholars based in Spain, India and Pakistan. Elena Verdú's co-authors include Luisa M. Regueras, María Pérez, Juan Pablo de Castro Fernández, Rubén González Crespo, Manju Khari, María Fé Muñoz-Moreno, Nasir Saleem, José Paulo Leal, Ricardo Queirós and V. Rajinikanth and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Elena Verdú

64 papers receiving 850 citations

Peers

Elena Verdú
Sellappan Palaniappan Malaysia
Jianwen Sun China
Chia Y. Han United States
Nazik Alturki Saudi Arabia
Vincent Tam Hong Kong
Boško Nikolić Serbia
Christopher G. Brinton United States
Yang Jiang China
Min Chi United States
Imed Bouchrika Algeria
Sellappan Palaniappan Malaysia
Elena Verdú
Citations per year, relative to Elena Verdú Elena Verdú (= 1×) peers Sellappan Palaniappan

Countries citing papers authored by Elena Verdú

Since Specialization
Citations

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

Fields of papers citing papers by Elena Verdú

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena Verdú. 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 Elena Verdú. The network helps show where Elena Verdú may publish in the future.

Co-authorship network of co-authors of Elena Verdú

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Verdú. A scholar is included among the top collaborators of Elena Verdú 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 Elena Verdú. Elena Verdú 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.
Dhahbi, Sami, et al.. (2025). End-to-end neural automatic speech recognition system for low resource languages. Egyptian Informatics Journal. 29. 100615–100615. 2 indexed citations
2.
Kadry, Seifedine, Laith Abualigah, Rubén González Crespo, et al.. (2024). Automatic liver-vessel examination from CT slice using Kapur’s thresholding and watershed algorithm. Procedia Computer Science. 235. 1824–1831. 1 indexed citations
3.
Verdú, Elena, et al.. (2024). CNN segmentation of skin melanoma in pre-processed dermoscopy images. Procedia Computer Science. 235. 2775–2782. 3 indexed citations
4.
Kadry, Seifedine, Laith Abualigah, Rubén González Crespo, et al.. (2024). COVID19 detection in chest x-ray using vision-transformer with different patch dimensions. Procedia Computer Science. 235. 3438–3446. 2 indexed citations
5.
Verdú, Elena, et al.. (2023). Big data and artificial intelligence in earth science: recent progress and future advancements. Acta Geophysica. 71(3). 1373–1375. 2 indexed citations
6.
Jain, Deepak Kumar, Ashit Kumar Dutta, Elena Verdú, Shtwai Alsubai, & Abdul Rahaman Wahab Sait. (2023). An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers. Image and Vision Computing. 133. 104659–104659. 33 indexed citations
7.
Nguyễn, Thị Ngọc Anh, et al.. (2023). Short-term forecasting electricity load by long short-term memory and reinforcement learning for optimization of hyper-parameters. Evolutionary Intelligence. 16(5). 1729–1746. 6 indexed citations
8.
Verdú, Elena, et al.. (2023). ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(4). 88–95. 16 indexed citations
9.
Verdú, Elena, et al.. (2022). Call for Special Issue Papers: Cloud Computing and Big Data for Cognitive IoT. Big Data. 10(1). 83–84. 1 indexed citations
10.
Chaudhary, Gopal, et al.. (2021). Predictive text analysis using eye blinks. Computers & Electrical Engineering. 96. 107554–107554. 3 indexed citations
11.
12.
Corell, Alfredo, Luisa M. Regueras, Elena Verdú, María Pérez, & Juan Pablo de Castro Fernández. (2018). Effects of competitive learning tools on medical students: A case study. PLoS ONE. 13(3). e0194096–e0194096. 40 indexed citations
13.
Verdú, Elena, et al.. (2013). INTELLIGENT TUTORING INTERFACE FOR TECHNOLOGY ENHANCED LEARNING WITH MOODLE. 2869–2870. 2 indexed citations
14.
Verdú, Elena, et al.. (2013). Performance meets games: considering interaction strategies in game design. Digital Creativity. 24(2). 157–164. 3 indexed citations
15.
Verdú, Elena, Luisa M. Regueras, María Pérez, et al.. (2011). A distributed system for learning programming on-line. Computers & Education. 58(1). 1–10. 78 indexed citations
16.
Verdú, Elena, Luisa M. Regueras, María Pérez, & Juan Pablo de Castro Fernández. (2010). Estimating the difficulty level of the challenges proposed in a competitive e-learning environment. 225–234. 4 indexed citations
17.
Verdú, Elena, María Pérez, Luisa M. Regueras, & Juan Pablo de Castro Fernández. (2010). A Diversity-Enhanced Genetic Algorithm to Characterize the Questions of a Competitive e-Learning System. 5. 25–29. 1 indexed citations
18.
Verdú, Elena, et al.. (2008). An analysis of the research on adaptive learning: the next generation of e-learning. WSEAS Transactions on Information Science and Applications archive. 5(6). 859–868. 30 indexed citations
19.
Verdú, Elena, et al.. (2007). MODELACIÓN POR HOMOLOGÍA DE LA CATEPSINA B DE Fasciola hepatica. 29(1). 58–64.
20.
Verdú, Elena, et al.. (2006). Quest: a contest-based approach to technology-enhanced active learning in higher education. 10–15. 3 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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