2026 Alexandre X. Falcão: 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	56	4078	3964	12	12	307	12511

Overview

Alexandre X. Falcão is affiliated with the State University of Campinas in Brazil. Their primary research area is in Computer Science, with notable focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Parasitology, and Electrical and Electronic Engineering.

Falcão's research spans several main topics, including:

Advanced Image and Video Retrieval Techniques
Visual Attention and Saliency Detection
Advanced Neural Network Applications
Medical Image Segmentation Techniques
Electricity Theft Detection Techniques
Radiomics and Machine Learning in Medical Imaging
Parasitic Infections and Diagnostics

Their publication record includes multiple papers in high-impact venues. Frequent venues for their research output are:

arXiv (Cornell University)
Pattern Recognition
IEEE Geoscience and Remote Sensing Letters
Pattern Recognition Letters
Nature Communications

Among recent papers, notable works include:

"Federated learning enables big data for rare cancer boundary detection," 2022, published in Nature Communications
"Semi-automatic data annotation guided by feature space projection," 2020, in Pattern Recognition
"A historical review of the techniques of recovery of parasites for their detection in human stools," 2020, in Revista da Sociedade Brasileira de Medicina Tropical
"Learning CNN Filters From User-Drawn Image Markers for Coconut-Tree Image Classification," 2020, in IEEE Geoscience and Remote Sensing Letters
"A Comprehensive Review and New Taxonomy on Superpixel Segmentation," 2024, in ACM Computing Surveys

Their frequent collaborators include:

Jancarlo Ferreira Gomes
Silvio Jamil F. Guimarães
Alexandru Telea
Felipe Augusto Soares
Bianca Martins dos Santos

Falcão's work covers a broad and interdisciplinary scope, combining computational techniques with applications in medical imaging and parasitology. The integration of advanced neural networks and image analysis is a recurring element in their research projects. Their publications reflect significant involvement in developing methods for image annotation, segmentation, and classification applicable across various domains.

Best Publications

The image foresting transform: theory, algorithms, and applications

A.X. Falcao;J. Stolfi;R. de Alencar Lotufo

895
Citations
User-steered image segmentation paradigms: live wire and live lane

Alexandre X. Falcão;Jayaram K. Udupa;Supun Samarasekera;Shoba Sharma

800
Citations
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

David Menotti;Giovani Chiachia;Allan Pinto;William Robson Schwartz

643
Citations
Supervised pattern classification based on optimum-path forest

J. P. Papa;A. X. Falcão;C. T. N. Suzuki

493
Citations
A compact and efficient image retrieval approach based on border/interior pixel classification

Renato O. Stehling;Mario A. Nascimento;Alexandre X. Falcão

445
Citations
An ultra-fast user-steered image segmentation paradigm: live wire on the fly

A.X. Falcao;J.K. Udupa;F.K. Miyazawa

401
Citations
Content-Based Image Retrieval: Theory and Applications.

Ricardo da Silva Torres;Alexandre X. Falcão

394
Citations
Visualizing the Hidden Activity of Artificial Neural Networks

Paulo E. Rauber;Samuel G. Fadel;Alexandre X. Falcao;Alexandru C. Telea

352
Citations
Efficient supervised optimum-path forest classification for large datasets

JoãO P. Papa;Alexandre X. FalcãO;Victor Hugo C. De Albuquerque;JoãO Manuel R. S. Tavares

311
Citations
A genetic programming framework for content-based image retrieval

Ricardo da S. Torres;Alexandre X. Falcão;Marcos A. Gonçalves;João P. Papa

247
Citations
A graph-based approach for multiscale shape analysis

R. da S. Torres;A.X. Falcão;L. da F. Costa

212
Citations
The Ordered Queue and the Optimality of the Watershed Approaches

Roberto de Alencar Lotufo;Alexandre X. Falcão

194
Citations
Interactive volume segmentation with differential image foresting transforms

A.X. Falcao;F.P.G. Bergo

182
Citations
Data clustering as an optimum-path forest problem with applications in image analysis

Leonardo Marques Rocha;Fábio A. M. Cappabianco;Alexandre Xavier Falcão

181
Citations
Contour salience descriptors for effective image retrieval and analysis

R. da S. Torres;A.X. Falcão

165
Citations
A 3D generalization of user-steered live-wire segmentation

Alexandre X. Falcão;Jayaram K. Udupa

160
Citations
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest

C C O Ramos;A N de Sousa;J P Papa;Alexandre Xavier Falcão

159
Citations
A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection

Caio C. O. Ramos;André N. Souza;Giovani Chiachia;Alexandre X. Falcão

155
Citations
OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

John Vargas;Shivangi Srivastava;Devis Tuia;Alexandre Falcao

145
Citations
Multiscale skeletons by image foresting transform and its application to neuromorphometry

A.X. Falcão;L. da Fontoura Costa;B.S. da Cunha

144
Citations
Visualizing time-dependent data using dynamic t-SNE

Paulo E. Rauber;Alexandre X. Falcão;Alexandru C. Telea

140
Citations

Frequent Co-Authors

João Paulo Papa Sao Paulo State University

Jayaram K. Udupa University of Pennsylvania

Ricardo da Silva Torres Wageningen University & Research

Alexandru Telea Utrecht University

Anderson Rocha State University of Campinas

Devis Tuia École Polytechnique Fédérale de Lausanne

João Manuel R. S. Tavares University of Porto

Victor Hugo C. de Albuquerque Universidade Federal do Ceará

Yanxi Liu Pennsylvania State University

Elliot M. Meyerowitz California Institute of Technology

External Links

Personal website of Alexandre X. Falcão Google Scholar page

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