World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6806
World Ranking
8451
National Ranking
39

Francisco C. Pereira 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 Francisco C. Pereira 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Francisco C. Pereira 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 Francisco C. Pereira 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the American Academy of Arts and Sciences
  • 1991 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

Francisco C. Pereira is affiliated with the Technical University of Denmark. Their research contributions span multiple disciplines, focusing mainly on social sciences, engineering, and computer science. Within these broader fields, their work often concentrates on subfields such as transportation, artificial intelligence, automotive engineering, economics and econometrics, and building and construction.

The scientist's recent published papers illustrate a range of topics in transportation and data analytics. Notable papers include:

  • How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment (2020), published in Transportation Research Part A Policy and Practice
  • A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022), published in Transportation Research Part B Methodological
  • Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management (2022), published in Transportation Research Part C Emerging Technologies
  • Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark (2020), published in Transport Policy
  • Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis (2020), published in IEEE Transactions on Intelligent Transportation Systems

Publication venues where Francisco C. Pereira frequently contributes include:

  • arXiv (Cornell University)
  • Transportation Research Part C Emerging Technologies
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Choice Modelling
  • SSRN Electronic Journal

Frequent collaborators working alongside Pereira include Filipe Rodrigues, Frederik Boe Hüttel, Daniele Gammelli, Christoffer Riis, and Inon Peled.

Their research covers diverse but interconnected topics such as transportation planning and optimization, transportation and mobility innovations, human mobility and location-based analysis, urban transport and accessibility, traffic prediction and management techniques, economic and environmental valuation, and electric vehicles and infrastructure.

Francisco C. Pereira has been recognized as a Fellow of the American Academy of Arts and Sciences since 2020 and was named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1991.

Best Publications

  • The geography of taste: analyzing cell-phone mobility and social events

    Francesco Calabrese;Francisco C. Pereira;Giusy Di Lorenzo;Liang Liu

  • Mining point-of-interest data from social networks for urban land use classification and disaggregation

    Shan Jiang;Ana Oliveira Alves;Filipe Rodrigues;Joseph Ferreira

  • Multi-output bus travel time prediction with convolutional LSTM neural network

    Niklas Christoffer Petersen;Filipe Rodrigues;Francisco Camara Pereira

  • Future Mobility Survey

    Caitlin Cottrill;Francisco Pereira;Fang Zhao;Iněs Dias

  • SimMobility: A Multi-scale Integrated Agent-Based Simulation Platform

    Muhammad Adnan;Francisco C Pereira;Carlos Miguel Lima Azevedo;Kakali Basak

  • Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach

    Filipe Rodrigues;Ioulia Markou;Francisco Camara Pereira

  • Using pattern recognition to identify habitual behavior in residential electricity consumption

    Joana M. Abreu;Francisco Câmara Pereira;Paulo Ferrão

  • Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling

    Dongwoo Lee;Sybil Derrible;Francisco Camara Pereira

  • Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore

    Fang Zhao;Francisco Camara Pereira;Rudi Ball;Youngsung Kim

  • Text analysis in incident duration prediction

    Francisco C. Pereira;Francisco C. Pereira;Francisco C. Pereira;Filipe Rodrigues;Filipe Rodrigues;Filipe Rodrigues;Moshe Ben-Akiva;Moshe Ben-Akiva;Moshe Ben-Akiva

  • Learning from multiple annotators: Distinguishing good from random labelers

    Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

  • Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios

    Francisco C. Pereira;Filipe Rodrigues;Moshe E. Ben-Akiva

  • An off-line map-matching algorithm for incomplete map databases

    Francisco Câmara Pereira;Hugo Costa;Nuno Martinho Pereira

  • Probabilistic modeling and visualization for bankruptcy prediction

    Francisco Antunes;Bernardete Ribeiro;Francisco Pereira

  • Gaussian Process Classification and Active Learning with Multiple Annotators

    Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

  • Overview of traffic incident duration analysis and prediction

    Ruimin Li;Francisco Camara Pereira;Moshe E. Ben-Akiva

  • Deep Learning from Crowds

    Filipe Rodrigues;Francisco Camara Pereira

  • Learning Supervised Topic Models for Classification and Regression from Crowds

    Filipe Rodrigues;Mariana Lourenco;Bernardete Ribeiro;Francisco C. Pereira

  • W-SPSA in Practice: Approximation of Weight Matrices and Calibration of Traffic Simulation Models

    Constantinos Antoniou;Carlos Lima Azevedo;Lu Lu;Francisco Pereira

  • How to generate micro-agents? A deep generative modeling approach to population synthesis

    Stanislav S. Borysov;Jeppe Rich;Francisco Camara Pereira

  • Sequence labeling with multiple annotators

    Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

  • Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems

    Filipe Rodrigues;Francisco C. Pereira

Frequent Co-Authors

Constantinos Antoniou
Constantinos Antoniou Technical University of Munich
Justin Dauwels
Justin Dauwels Nanyang Technological University
Joan L. Walker
Joan L. Walker University of California, Berkeley
Michel Bierlaire
Michel Bierlaire École Polytechnique Fédérale de Lausanne
Paulo Ferrão
Paulo Ferrão Instituto Superior Técnico
Bin Guo
Bin Guo Northwestern Polytechnical University
Stephane Hess
Stephane Hess University of Leeds
Peter A. Bandettini
Peter A. Bandettini National Institutes of Health

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