Pedro H. Bugatti

677 total citations
36 papers, 335 citations indexed

About

Pedro H. Bugatti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Pedro H. Bugatti has authored 36 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Pedro H. Bugatti's work include Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Smart Agriculture and AI (6 papers). Pedro H. Bugatti is often cited by papers focused on Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Smart Agriculture and AI (6 papers). Pedro H. Bugatti collaborates with scholars based in Brazil and Argentina. Pedro H. Bugatti's co-authors include Priscila T. M. Saito, Agma J. M. Traina, Caetano Traina, Alexandre Rossi Paschoal, Douglas Silva Domingues, Wonder Alexandre Luz Alves, Marcela Xavier Ribeiro, Paulo Mazzoncini de Azevedo‐Marques, Fabrício Martins Lopes and Joaquim Cezar Felipe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Pedro H. Bugatti

35 papers receiving 317 citations

Peers

Countries citing papers authored by Pedro H. Bugatti

Since Specialization

Citations

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

Fields of papers citing papers by Pedro H. Bugatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro H. Bugatti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pedro H. Bugatti. The network helps show where Pedro H. Bugatti may publish in the future.

Co-authorship network of co-authors of Pedro H. Bugatti

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro H. Bugatti. A scholar is included among the top collaborators of Pedro H. Bugatti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pedro H. Bugatti. Pedro H. Bugatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Automatic generation of difficulty maps for datasets using neural network 2024 ·Multimedia Tools and Applications ·(unknown), (unknown), Cléber Gimenez Corrêa, (unknown), (unknown), Priscila T. M. Saito, Pedro H. Bugatti	0
2	Soybean seed vigor classification through an effective image learning-based approach 2023 ·Multimedia Tools and Applications ·(unknown), (unknown), Priscila T. M. Saito, Pedro H. Bugatti	4
3	Assessment of clustering techniques to support the analyses of soybean seed vigor 2023 ·PLoS ONE ·Eduardo Rolim de Oliveira, Pedro H. Bugatti, Priscila T. M. Saito	2
4	Method for selecting representative videos for change detection datasets 2021 ·Multimedia Tools and Applications ·(unknown), (unknown), Pedro H. Bugatti, Priscila T. M. Saito, Cléber Gimenez Corrêa, Roberto Sadao Yokoyama, (unknown)	1
5	TERL: classification of transposable elements by convolutional neural networks 2020 ·Briefings in Bioinformatics ·(unknown), Douglas Silva Domingues, Priscila T. M. Saito, Alexandre Rossi Paschoal, Pedro H. Bugatti	32
6	Active semi-supervised learning for biological data classification 2020 ·PLoS ONE ·(unknown), Pedro H. Bugatti, Priscila T. M. Saito	20
7	Assessing Active Learning Strategies to Improve the Quality Control of the Soybean Seed Vigor 2020 ·IEEE Transactions on Industrial Electronics ·(unknown), Pedro H. Bugatti, Fabrício Martins Lopes, (unknown), Priscila T. M. Saito	6
8	Breast cancer diagnosis through active learning in content-based image retrieval 2019 ·Neurocomputing ·(unknown), Pedro H. Bugatti, Priscila T. M. Saito	26
9	Contributing to agriculture by using soybean seed data from the tetrazolium test 2019 ·SHILAP Revista de lepidopterología ·(unknown), Pedro H. Bugatti, Fabrício Martins Lopes, (unknown), Priscila T. M. Saito	14
10	Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants 2018 ·Briefings in Bioinformatics ·(unknown), Wonder Alexandre Luz Alves, Pedro H. Bugatti, Priscila T. M. Saito, Douglas Silva Domingues, Alexandre Rossi Paschoal	48
11	Towards an Effective and Efficient Learning for Biomedical Data Classification 2017 ·(unknown), (unknown), Pedro H. Bugatti, Priscila T. M. Saito	1
12	An image analysis framework for effective classification of seed damages 2016 ·(unknown), Priscila T. M. Saito, Pedro H. Bugatti	5
13	Exploiting Evolutionary Approaches for Content-Based Medical Image Retrieval 2015 ·(unknown), Priscila T. M. Saito, Pedro H. Bugatti	2
14	Content-based image retrieval towards the automatic characterization of soybean seed vigor 2014 ·(unknown), Priscila T. M. Saito, Pedro H. Bugatti	4
15	PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles 2013 ·Computers in Biology and Medicine ·Pedro H. Bugatti, (unknown), (unknown), Caetano Traina, Paulo Mazzoncini de Azevedo‐Marques, Agma J. M. Traina	10
16	Does a CBIR system really impact decisions of physicians in a clinical environment? 2013 ·(unknown), (unknown), Pedro H. Bugatti, (unknown), (unknown), Rosana Teresinha Vaccare Braga, (unknown), Paulo Mazzoncini de Azevedo‐Marques, Caetano Traina, Agma J. M. Traina	14
17	Integrating user profile in medical CBIR systems to answer perceptual similarity queries 2011 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Pedro H. Bugatti, (unknown), (unknown), Agma J. M. Traina, Caetano Traina	1
18	FMI-SiR: A Flexible and Efficient Module for Similarity Searching on Oracle Database 2010 ·Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) ·(unknown), Pedro H. Bugatti, Agma J. M. Traina, Caetano Traina	7
19	Incorporating Metric Access Methods for Similarity Searching on Oracle Database. 2009 ·(unknown), Pedro H. Bugatti, Agma J. M. Traina, Caetano Traina	1
20	Content-based retrieval of medical images: From context to perception 2009 ·Pedro H. Bugatti, (unknown), Agma J. M. Traina, Caetano Traina, Paulo Mazzoncini de Azevedo‐Marques	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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