2026 Francisco C. Pereira: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	42	8452	8214	39	37	208	6806

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

402
Citations
Mining point-of-interest data from social networks for urban land use classification and disaggregation

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

354
Citations
Multi-output bus travel time prediction with convolutional LSTM neural network

Niklas Christoffer Petersen;Filipe Rodrigues;Francisco Camara Pereira

272
Citations
Future Mobility Survey

Caitlin Cottrill;Francisco Pereira;Fang Zhao;Iněs Dias

270
Citations
SimMobility: A Multi-scale Integrated Agent-Based Simulation Platform

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

176
Citations
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach

Filipe Rodrigues;Ioulia Markou;Francisco Camara Pereira

171
Citations
Using pattern recognition to identify habitual behavior in residential electricity consumption

Joana M. Abreu;Francisco Câmara Pereira;Paulo Ferrão

166
Citations
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

165
Citations
Exploratory Analysis of a Smartphone-Based Travel Survey in Singapore

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

147
Citations
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

146
Citations
Learning from multiple annotators: Distinguishing good from random labelers

Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

142
Citations
Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios

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

133
Citations
An off-line map-matching algorithm for incomplete map databases

Francisco Câmara Pereira;Hugo Costa;Nuno Martinho Pereira

106
Citations
Probabilistic modeling and visualization for bankruptcy prediction

Francisco Antunes;Bernardete Ribeiro;Francisco Pereira

102
Citations
Gaussian Process Classification and Active Learning with Multiple Annotators

Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

102
Citations
Overview of traffic incident duration analysis and prediction

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

101
Citations
Deep Learning from Crowds

Filipe Rodrigues;Francisco Camara Pereira

100
Citations
Learning Supervised Topic Models for Classification and Regression from Crowds

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

99
Citations
W-SPSA in Practice: Approximation of Weight Matrices and Calibration of Traffic Simulation Models

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

97
Citations
How to generate micro-agents? A deep generative modeling approach to population synthesis

Stanislav S. Borysov;Jeppe Rich;Francisco Camara Pereira

97
Citations
Sequence labeling with multiple annotators

Filipe Rodrigues;Francisco Pereira;Bernardete Ribeiro

89
Citations
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems

Filipe Rodrigues;Francisco C. Pereira

83
Citations

Frequent Co-Authors

Moshe Ben-Akiva MIT

Constantinos Antoniou Technical University of Munich

Justin Dauwels Nanyang Technological University

Carlo Ratti MIT

Michel Bierlaire École Polytechnique Fédérale de Lausanne

Paulo Ferrão Instituto Superior Técnico

Stephane Hess University of Leeds

Bin Guo Northwestern Polytechnical University

Zhiwen Yu Northwestern Polytechnical University

Peter A. Bandettini National Institutes of Health

External Links

Personal website of Francisco C. Pereira

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