J. F. Torres

1.9k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

J. F. Torres is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, J. F. Torres has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Management Science and Operations Research and 6 papers in Signal Processing. Recurrent topics in J. F. Torres's work include Energy Load and Power Forecasting (9 papers), Stock Market Forecasting Methods (4 papers) and Spam and Phishing Detection (3 papers). J. F. Torres is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Stock Market Forecasting Methods (4 papers) and Spam and Phishing Detection (3 papers). J. F. Torres collaborates with scholars based in Spain, Venezuela and Algeria. J. F. Torres's co-authors include Francisco Martínez‐Álvarez, Alicia Troncoso, Abderrazak Sebaa, Dalil Hadjout, Miguel García-Torres, Federico Divina, Francisco Gómez-Vela, Irena Koprinska, David Gutiérrez‐Avilés and Kien-Trinh Thi Bui and has published in prestigious journals such as Expert Systems with Applications, Energy and Information Sciences.

In The Last Decade

J. F. Torres

20 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Time Series Forecasting: A Survey

2020 441 citations J. F. Torres, Dalil Hadjout et al. Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. F. Torres Spain	11	445	316	234	151	148	22	1.1k
Kasun Bandara Australia	18	472 1.1×	314 1.0×	338 1.4×	201 1.3×	197 1.3×	38	1.6k
Hansika Hewamalage Australia	5	310 0.7×	252 0.8×	285 1.2×	174 1.2×	136 0.9×	6	995
Chengqing Yu China	19	447 1.0×	295 0.9×	155 0.7×	119 0.8×	202 1.4×	43	1.0k
Xueheng Qiu Singapore	11	544 1.2×	312 1.0×	292 1.2×	101 0.7×	104 0.7×	14	973
Souhaib Ben Taieb Belgium	13	704 1.6×	408 1.3×	547 2.3×	233 1.5×	212 1.4×	29	1.5k
Antti Sorjamaa Belgium	8	389 0.9×	411 1.3×	384 1.6×	222 1.5×	177 1.2×	19	1.2k
Ali Fiaz United Arab Emirates	7	608 1.4×	243 0.8×	224 1.0×	39 0.3×	116 0.8×	7	972
Tao Xiong China	17	513 1.2×	270 0.9×	463 2.0×	60 0.4×	92 0.6×	68	1.4k
Hany F. ElYamany Egypt	7	291 0.7×	422 1.3×	66 0.3×	91 0.6×	118 0.8×	15	1.1k
Olufemi A. Omitaomu United States	20	307 0.7×	541 1.7×	111 0.5×	367 2.4×	188 1.3×	80	1.6k

Countries citing papers authored by J. F. Torres

Since Specialization

Citations

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

Fields of papers citing papers by J. F. Torres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. F. Torres. 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 J. F. Torres. The network helps show where J. F. Torres may publish in the future.

Co-authorship network of co-authors of J. F. Torres

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Torres, J. F., et al.. (2025). Energy-efficient transfer learning for water consumption forecasting. Sustainable Computing Informatics and Systems. 46. 101130–101130. 2 indexed citations

Torres, J. F., et al.. (2024). Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas. Ecological Informatics. 85. 102951–102951. 1 indexed citations

García-Soto, Carlos, J. F. Torres, Miguel A. Zamora, José Palma, & Alicia Troncoso. (2024). Water consumption time series forecasting in urban centers using deep neural networks. Applied Water Science. 14(2). 5 indexed citations

Torres, J. F., et al.. (2024). Model to Predict Inventory Demand in Retail SMEs Using CRISP-DM and Machine Learning. 1–7.

Hadjout, Dalil, Abderrazak Sebaa, J. F. Torres, & Francisco Martínez‐Álvarez. (2023). Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market. Expert Systems with Applications. 227. 120123–120123. 15 indexed citations

Torres, J. F., et al.. (2022). A methodology for understanding passenger flows combining mobile phone records and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreak. Journal of Air Transport Management. 100. 102163–102163. 14 indexed citations

Bui, Kien-Trinh Thi, J. F. Torres, David Gutiérrez‐Avilés, et al.. (2022). Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm. Computer-Aided Civil and Infrastructure Engineering. 37(11). 1368–1386. 46 indexed citations

Torres, J. F., Francisco Martínez‐Álvarez, & Alicia Troncoso. (2022). A deep LSTM network for the Spanish electricity consumption forecasting. Neural Computing and Applications. 34(13). 10533–10545. 91 indexed citations

Torres, J. F., Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez‐Álvarez, & Alicia Troncoso. (2020). Deep Learning for Time Series Forecasting: A Survey. Big Data. 9(1). 3–21. 441 indexed citations breakdown →

10.

Divina, Federico, J. F. Torres, Miguel García-Torres, Francisco Martínez‐Álvarez, & Alicia Troncoso. (2020). Hybridizing Deep Learning and Neuroevolution: Application to the Spanish Short-Term Electric Energy Consumption Forecasting. Applied Sciences. 10(16). 5487–5487. 12 indexed citations

11.

Torres, J. F., et al.. (2019). Big data solar power forecasting based on deep learning and multiple data sources. Expert Systems. 36(4). 50 indexed citations

12.

Torres, J. F., et al.. (2019). Behavioral Biometric Authentication in Android Unlock Patterns through Machine Learning. 146–154. 6 indexed citations

13.

Aguilar, José, et al.. (2018). Autonomic communication system based on cognitive techniques. International Journal of Knowledge-based and Intelligent Engineering Systems. 22(1). 17–37. 2 indexed citations

14.

Torres, J. F., et al.. (2018). A novel spark-based multi-step forecasting algorithm for big data time series. Information Sciences. 467. 800–818. 22 indexed citations

15.

Torres, J. F., et al.. (2018). A scalable approach based on deep learning for big data time series forecasting. Integrated Computer-Aided Engineering. 25(4). 335–348. 92 indexed citations

16.

Divina, Federico, et al.. (2018). Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting. Energies. 11(4). 949–949. 196 indexed citations

17.

Torres, J. F., et al.. (2018). Malicious PDF Documents Detection using Machine Learning Techniques - A Practical Approach with Cloud Computing Applications. 337–344. 3 indexed citations

18.

Torres, J. F., et al.. (2017). Macro Malware Detection using Machine Learning Techniques - A New Approach. 295–302. 8 indexed citations

19.

Torres, J. F., et al.. (2017). Analysing HSTS and HPKP implementation in both browsers and servers. IET Information Security. 12(4). 275–284. 3 indexed citations

20.

Torres, J. F.. (2002). Robust division of temporal horizons in production planning. 1. 323–327.

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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