Javier Huertas‐Tato

579 total citations
27 papers, 336 citations indexed

About

Javier Huertas‐Tato is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Javier Huertas‐Tato has authored 27 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 6 papers in Information Systems. Recurrent topics in Javier Huertas‐Tato's work include Misinformation and Its Impacts (8 papers), Topic Modeling (8 papers) and Solar Radiation and Photovoltaics (7 papers). Javier Huertas‐Tato is often cited by papers focused on Misinformation and Its Impacts (8 papers), Topic Modeling (8 papers) and Solar Radiation and Photovoltaics (7 papers). Javier Huertas‐Tato collaborates with scholars based in Spain, France and Portugal. Javier Huertas‐Tato's co-authors include M.C. Brito, Inés M. Galván, David Pozo‐Vázquez, Clara Arbizu‐Barrena, Ricardo Aler, David Camacho, Alejandro Martín, David Camacho, Manuel Sánchez-Montañés and Javier Del Ser and has published in prestigious journals such as Expert Systems with Applications, Solar Energy and Applied Soft Computing.

In The Last Decade

Javier Huertas‐Tato

24 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Javier Huertas‐Tato Spain	10	226	112	95	48	37	27	336
Sookyung Kim United States	7	56 0.2×	42 0.4×	26 0.3×	60 1.3×	40 1.1×	22	259
Minghao Yang China	10	147 0.7×	136 1.2×	34 0.4×	5 0.1×	153 4.1×	41	421
Mengyuan Yang China	8	96 0.4×	38 0.3×	19 0.2×	4 0.1×	17 0.5×	22	280
Earo Wang Australia	6	105 0.5×	71 0.6×	6 0.1×	9 0.2×	33 0.9×	10	319
Liping Ni China	8	80 0.4×	32 0.3×	34 0.4×	3 0.1×	24 0.6×	21	359
Georgios Giasemidis United Kingdom	7	88 0.4×	218 1.9×	13 0.1×	21 0.4×	2 0.1×	11	304
Charlie Obimbo Canada	9	120 0.5×	31 0.3×	3 0.0×	28 0.6×	29 0.8×	32	294
Shah Muhammad Hamdi United States	9	172 0.8×	19 0.2×	22 0.2×	3 0.1×	34 0.9×	59	353

Countries citing papers authored by Javier Huertas‐Tato

Since Specialization

Citations

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

Fields of papers citing papers by Javier Huertas‐Tato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Huertas‐Tato. 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 Javier Huertas‐Tato. The network helps show where Javier Huertas‐Tato may publish in the future.

Co-authorship network of co-authors of Javier Huertas‐Tato

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Huertas‐Tato. A scholar is included among the top collaborators of Javier Huertas‐Tato 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 Javier Huertas‐Tato. Javier Huertas‐Tato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Huertas‐Tato, Javier, et al.. (2025). Not all tokens are created equal: Perplexity Attention Weighted Networks for AI-generated text detection. Information Fusion. 125. 103465–103465.

Huertas‐Tato, Javier, Christos Koutlis, Symeon Papadopoulos, David Camacho, & Ioannis Kompatsiaris. (2024). A CLIP-based Siamese Approach for Meme Classification. 1–8. 1 indexed citations

Martín, Alejandro, et al.. (2024). Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 431–443.

Huertas‐Tato, Javier, Alejandro Martín, & David Camacho. (2024). Understanding writing style in social media with a supervised contrastively pre-trained transformer. Knowledge-Based Systems. 296. 111867–111867. 3 indexed citations

Martín, Alejandro, et al.. (2023). Countering malicious content moderation evasion in online social networks: Simulation and detection of word camouflage. Applied Soft Computing. 145. 110552–110552. 5 indexed citations

Taleb‐Ahmed, Abdelmalik, et al.. (2023). Generation and detection of manipulated multimodal audiovisual content: Advances, trends and open challenges. Information Fusion. 103. 102103–102103. 18 indexed citations

Huertas‐Tato, Javier, et al.. (2023). Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information. Knowledge-Based Systems. 283. 111198–111198. 13 indexed citations

Rosso, Paolo, et al.. (2023). Fighting disinformation with artificial intelligence: fundamentals, advances and challenges. El Profesional de la Informacion. 20 indexed citations

Huertas‐Tato, Javier, Alejandro Martín, & David Camacho. (2023). BERTuit: Understanding Spanish language in Twitter with transformers. Expert Systems. 40(9). 4 indexed citations

10.

Huertas‐Tato, Javier, et al.. (2023). Transparency in Medicine: How eXplainable AI is Revolutionizing Patient Care. 1–6. 2 indexed citations

11.

Martín, Alejandro, et al.. (2022). Exploring Dimensionality Reduction Techniques in Multilingual Transformers. Cognitive Computation. 15(2). 590–612. 5 indexed citations

12.

Huertas‐Tato, Javier, et al.. (2022). Generating Authorship Embeddings with Transformers. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations

13.

Huertas‐Tato, Javier, Alejandro Martín, & David Camacho. (2022). SILT: Efficient transformer training for inter-lingual inference. Expert Systems with Applications. 200. 116923–116923. 8 indexed citations

14.

Huertas‐Tato, Javier, et al.. (2021). CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification.. CLEF (Working Notes). 520–530. 4 indexed citations

15.

Huertas‐Tato, Javier, et al.. (2021). Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling.. CLEF (Working Notes). 1963–1975. 4 indexed citations

16.

Huertas‐Tato, Javier, et al.. (2021). Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Computing and Applications. 34(13). 10295–10307. 6 indexed citations

17.

Arbizu‐Barrena, Clara, et al.. (2019). A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment. Solar Energy. 195. 396–412. 37 indexed citations

18.

Huertas‐Tato, Javier, et al.. (2019). A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning. Solar Energy. 195. 685–696. 42 indexed citations

19.

Aler, Ricardo, Javier Huertas‐Tato, José M. Valls, & Inés M. Galván. (2019). Improving Prediction Intervals Using Measured Solar Power with a Multi-Objective Approach. Energies. 12(24). 4713–4713. 3 indexed citations

20.

Huertas‐Tato, Javier & M.C. Brito. (2018). Using Smart Persistence and Random Forests to Predict Photovoltaic Energy Production. Energies. 12(1). 100–100. 61 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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