Fábio M. Bayer

94 papers and 1.2k indexed citations i.

About

Fábio M. Bayer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistics and Probability. According to data from OpenAlex, Fábio M. Bayer has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 33 papers in Signal Processing and 25 papers in Statistics and Probability. Recurrent topics in Fábio M. Bayer’s work include Digital Filter Design and Implementation (32 papers), Advanced Data Compression Techniques (28 papers) and Advanced Statistical Methods and Models (21 papers). Fábio M. Bayer is often cited by papers focused on Digital Filter Design and Implementation (32 papers), Advanced Data Compression Techniques (28 papers) and Advanced Statistical Methods and Models (21 papers). Fábio M. Bayer collaborates with scholars based in Brazil, United States and Canada. Fábio M. Bayer's co-authors include Renato J. Cintra, Thiago L. T. da Silveira, Francisco Cribari‐Neto, Vassil S. Dimitrov and Viduneth Ariyarathna and has published in prestigious journals such as PLoS ONE, Journal of Hydrology and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Fábio M. Bayer

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Fábio M. Bayer. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fábio M. Bayer may publish in the future.

Countries citing papers authored by Fábio M. Bayer

Since Specialization
Citations

This map shows the geographic impact of Fábio M. Bayer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fábio M. Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio M. Bayer more than expected).

Rankless by CCL
2025