World's Best Scientists 2026 revealed!
Enrique Frias-Martinez

Enrique Frias-Martinez

Enrique Frias-Martinez 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 Enrique Frias-Martinez 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+

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

Enrique Frias-Martinez 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 Enrique Frias-Martinez 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+

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

Overview

Enrique Frias-Martinez is affiliated with Telefónica (Spain) and focuses research primarily within the intersecting fields of Social Sciences, Medicine, and Mathematics. Their work encompasses a range of subfields including Transportation, Modeling and Simulation, Public Health, Environmental and Occupational Health, Artificial Intelligence, and Global and Planetary Change.

Their research topics prominently cover Human Mobility and Location-Based Analysis, COVID-19 epidemiological studies, Mosquito-borne diseases and control, Zoonotic diseases and public health, Data-Driven Disease Surveillance, Impact of Light on Environment and Health, and Crime Patterns and Interventions.

Key recent publications by Enrique Frias-Martinez include:

  • "Trade-offs between individual and ensemble forecasts of an emerging infectious disease" (2021), published in Nature Communications
  • "Enhancing short-term crime prediction with human mobility flows and deep learning architectures" (2022), published in EPJ Data Science
  • "Comparing sources of mobility for modelling the epidemic spread of Zika virus in Colombia" (2022), published in PLoS neglected tropical diseases
  • "Spatial sensitivity analysis for urban hotspots using cell phone traces" (2021), published in Environment and Planning B Urban Analytics and City Science
  • "The contribution of telco data to fight the COVID-19 pandemic: Experience of Telefonica throughout its footprint" (2021), published in Data & Policy

Frequent co-authors in Enrique Frias-Martinez's collaborations include Pedro A. de Alarcón, Rachel J. Oidtman, Elisa Omodei, Moritz U. G. Kraemer, and Carlos A Castañeda-Orjuela. These collaborations reflect multidisciplinary approaches that integrate data science, epidemiology, and urban analytics.

Their work has been published across multiple venues with repeated contributions to bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, EPJ Data Science, PLoS neglected tropical diseases, and Environment and Planning B Urban Analytics and City Science.

Best Publications

  • From mobile phone data to the spatial structure of cities

    Thomas Louail;Maxime Lenormand;Oliva G. Cantu Ros;Miguel Picornell

  • Characterizing Urban Landscapes Using Geolocated Tweets

    Vanessa Frias-Martinez;Victor Soto;Heath Hohwald;Enrique Frias-Martinez

  • Spectral clustering for sensing urban land use using Twitter activity

    Vanessa Frias-Martinez;Enrique Frias-Martinez

  • An Agent-Based Model of Epidemic Spread Using Human Mobility and Social Network Information

    Enrique Frias-Martinez;Graham Williamson;Vanessa Frias-Martinez

  • Uncovering the spatial structure of mobility networks

    Thomas Louail;Maxime Lenormand;Miguel Picornell;Oliva García Cantú

  • Cross-checking different sources of mobility information.

    Maxime Lenormand;Miguel Picornell;Oliva G. Cantú-Ros;Antònia Tugores

  • Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition

    Enrique Frías-Martínez;Ángel Sánchez;José Francisco Vélez

  • Prediction of socioeconomic levels using cell phone records

    Victor Soto;Vanessa Frias-Martinez;Jesus Virseda;Enrique Frias-Martinez

  • Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments

    Anastasios Noulas;Cecilia Mascolo

  • Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Assessing the potential of ride-sharing using mobile and social data: a tale of four cities

    Blerim Cici;Athina Markopoulou;Enrique Frias-Martinez;Nikolaos Laoutaris

  • Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia

    E. Frias-martinez;S.Y. Chen;Xiaohui Liu

  • Automated land use identification using cell-phone records

    Víctor Soto;Enrique Frías-Martínez

  • Automated user modeling for personalized digital libraries

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Evaluation of a personalized digital library based on cognitive styles: Adaptivity vs. adaptability

    Enrique Frias-Martinez;Sherry Y. Chen;Xiaohui Liu

  • Comparing and modelling land use organization in cities

    Maxime Lenormand;Miguel Picornell;Oliva G. Cantú-Ros;Thomas Louail

  • Estimation of urban commuting patterns using cellphone network data

    Vanessa Frias-Martinez;Cristina Soguero;Enrique Frias-Martinez

  • A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic

    Andra Lutu;Diego Perino;Marcelo Bagnulo;Enrique Frias-Martinez

  • Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics

    Marcos R. Vieira;Vanessa Frias-Martinez;Nuria Oliver;Enrique Frias-Martinez

  • Comparing and modeling land use organization in cities

    Maxime Lenormand;Miguel Picornell;Oliva G. Cantú-Ros;Thomas Louail

Frequent Co-Authors

Sherry Y. Chen
Sherry Y. Chen National Central University
Nuria Oliver
Nuria Oliver European Laboratory for Learning and Intelligent Systems
Manuel Cebrian
Manuel Cebrian Carlos III University of Madrid
José J. Ramasco
José J. Ramasco Spanish National Research Council
Moritz U G Kraemer
Moritz U G Kraemer University of Oxford
Marc Barthelemy
Marc Barthelemy L'Institut de physique théorique
Xiaohui Liu
Xiaohui Liu Brunel University London
Nikolaos Laoutaris
Nikolaos Laoutaris Madrid Institute for Advanced Studies
Robert D. Macredie
Robert D. Macredie Brunel University London
Athina Markopoulou
Athina Markopoulou University of California, Irvine

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