Danúbia B. Espíndola

About

Danúbia B. Espíndola is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Danúbia B. Espíndola has authored 26 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Human-Computer Interaction. Recurrent topics in Danúbia B. Espíndola’s work include Augmented Reality Applications (8 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Management and Optimization Techniques (3 papers). Danúbia B. Espíndola is often cited by papers focused on Augmented Reality Applications (8 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Management and Optimization Techniques (3 papers). Danúbia B. Espíndola collaborates with scholars based in Brazil, Germany and Italy. Danúbia B. Espíndola's co-authors include Carlos Eduardo Pereira, Sílvia Silva da Costa Botelho, Bernd Hellingrath, Enzo Morosini Frazzon and Marcelo Pias and has published in prestigious journals such as Computers in Industry, IFAC-PapersOnLine and Production & Manufacturing Research.

In The Last Decade

Fields of papers citing papers by Danúbia B. Espíndola

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 Danúbia B. Espíndola. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Danúbia B. Espíndola may publish in the future.

Countries citing papers authored by Danúbia B. Espíndola

Since Specialization

Citations

This map shows the geographic impact of Danúbia B. Espíndola'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 Danúbia B. Espíndola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danúbia B. Espíndola more than expected).

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