World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4303
World Ranking
12736
National Ranking
238

Alicia Troncoso publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Alicia Troncoso sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 108 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Alicia Troncoso D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Alicia Troncoso sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Alicia Troncoso is affiliated with Pablo de Olavide University in Spain. Their research portfolio spans several prominent fields including Computer Science with a focus on Artificial Intelligence, Electrical and Electronic Engineering, and Management Science and Operations Research. The scientist's work covers numerous subfields such as Signal Processing and Plant Science, highlighting a multidisciplinary approach in their investigations.

Their main research topics encompass Energy Load and Power Forecasting, Time Series Analysis and Forecasting, Stock Market Forecasting Methods, Data Stream Mining Techniques, Forecasting Techniques and Applications, Anomaly Detection Techniques and Applications, and Solar Radiation and Photovoltaics.

Among the recent papers authored or coauthored by Alicia Troncoso are:

  • Deep Learning for Time Series Forecasting: A Survey (2020) published in Big Data
  • A deep LSTM network for the Spanish electricity consumption forecasting (2022) published in Neural Computing and Applications
  • Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market (2021) published in Energy
  • A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting (2021) published in Information Sciences
  • Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models (2020) published in Mathematics

Frequent collaborators include:

  • Francisco Martínez-Álvarez
  • G. Asencio-Cortés
  • Laura Melgar-García
  • David Gutiérrez-Avilés
  • M. Martínez-Ballesteros

The scientist frequently publishes in venues such as:

  • SSRN Electronic Journal
  • Neural Computing and Applications
  • Information Sciences
  • Information Fusion
  • Neurocomputing

Alicia Troncoso has contributed to several book publications under major academic publishers. Four titles have appeared with Springer International Publishing, including proceedings from conferences such as the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) and the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). Additional books have been published by Springer Science+Business Media, including Hybrid Artificial Intelligent Systems editions for 2022 and 2023.

Best Publications

  • Deep Learning for Time Series Forecasting: A Survey.

    José F. Torres;Dalil Hadjout;Abderrazak Sebaa;Francisco Martínez-Álvarez

  • Energy Time Series Forecasting Based on Pattern Sequence Similarity

    Francisco Martinez Alvarez;A Troncoso;J C Riquelme;Jesus S Aguilar Ruiz

  • Multi-step forecasting for big data time series based on ensemble learning

    A. Galicia;R. Talavera-Llames;A. Troncoso;I. Koprinska

  • A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting

    Francisco Martínez-Álvarez;Alicia Troncoso;Gualberto Asencio-Cortés;José C. Riquelme

  • Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.

    Francisco Martínez-Álvarez;Gualberto Asencio-Cortés;José F. Torres;David Gutiérrez-Avilés

  • A scalable approach based on deep learning for big data time series forecasting

    J.F. Torres;A. Galicia;A. Troncoso;F. Martínez-Álvarez

  • Pattern recognition to forecast seismic time series

    A. Morales-Esteban;F. Martínez-Álvarez;A. Troncoso;J. L. Justo

  • Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

    Rubén Pérez-Chacón;José M. Luna-Romera;Alicia Troncoso;Francisco Martínez-Álvarez

  • A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables

    J. García-Gutiérrez;F. Martínez-Álvarez;A. Troncoso;J.C. Riquelme

  • Medium---large earthquake magnitude prediction in Tokyo with artificial neural networks

    G. Asencio-Cortés;F. Martínez-Álvarez;A. Troncoso;A. Morales-Esteban

  • Local models-based regression trees for very short-term wind speed prediction

    A. Troncoso;S. Salcedo-Sanz;C. Casanova-Mateo;J.C. Riquelme

  • Biclustering of Gene Expression Data by Correlation-Based Scatter Search

    Juan A Nepomuceno;Alicia Troncoso;Jesús S Aguilar-Ruiz

  • Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution

    M. Martínez-Ballesteros;A. Troncoso;F. Martínez-Álvarez;J. C. Riquelme

  • Big data solar power forecasting based on deep learning and multiple data sources

    José F. Torres;Alicia Troncoso;Irena Koprinska;Zheng Wang

  • An evolutionary algorithm to discover quantitative association rules in multidimensional time series

    M. Martínez-Ballesteros;F. Martínez-Álvarez;A. Troncoso;J. C. Riquelme

  • Time-Series Clustering Based on the Characterization of Segment Typologies

    David Guijo-Rubio;Antonio Manuel Duran-Rosal;Pedro Antonio Gutierrez;Alicia Troncoso

  • Initialization Methods for Multiple Seasonal Holt–Winters Forecasting Models

    Oscar Trull;Juan Carlos García-Díaz;Alicia Troncoso

  • Big data time series forecasting based on nearest neighbours distributed computing with Spark

    R. Talavera-Llames;R. Pérez-Chacón;A. Troncoso;F. Martínez-Álvarez

  • Deep Learning for Big Data Time Series Forecasting Applied to Solar Power

    José F. Torres;Alicia Troncoso;Irena Koprinska;Zheng Wang

  • Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load

    J. F. Torres;A. M. Fernández;A. Troncoso;F. Martínez-Álvarez

  • Combining pattern sequence similarity with neural networks for forecasting electricity demand time series

    Irena Koprinska;Mashud Rana;Alicia Troncoso;Francisco Martinez-Alvarez

Frequent Co-Authors

Francisco Martínez-Álvarez
Francisco Martínez-Álvarez Pablo de Olavide University
José C. Riquelme
José C. Riquelme University of Seville
Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Emilio Corchado
Emilio Corchado University of Salamanca
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
César Hervás-Martínez
César Hervás-Martínez University of Córdoba
Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Vassilios G. Agelidis
Vassilios G. Agelidis Democritus University of Thrace

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