Diego Bertolini
Impact in
- Health Informatics top 2%
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
Papers in
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- Handwritten Text Recognition Techniques 14
- Digital Media Forensic Detection 5
- Image Retrieval and Classification Techniques 4
- Face and Expression Recognition 3
- Advanced Image and Video Retrieval Techniques 3
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- Natural Language Processing Techniques 6
- Machine Learning and Data Classification 3
- Co-authors
- Luiz S. Oliveira (17 shared papers)Yandre M. G. Costa (18 shared papers)Robert Sabourin (6 shared papers)Lucas Teixeira (6 shared papers)Rodolfo M. Pereira (3 shared papers)Edson Justino (4 shared papers)Carlos N. Silla (2 shared papers)Adriano Brandelli (2 shared papers)
In The Last Decade
Diego Bertolini
30 papers receiving 846 citations
Diego Bertolini's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 51
- Computer Vision and Pattern Recognition 380
- Radiology, Nuclear Medicine and Imaging 339
- Media Technology 117
- Artificial Intelligence 389
Countries citing papers authored by Diego Bertolini
This map shows the geographic impact of Diego Bertolini'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 Diego Bertolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Bertolini more than expected).
Fields of papers citing papers by Diego Bertolini
This network shows the impact of papers produced by Diego Bertolini. 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 Diego Bertolini. The network helps show where Diego Bertolini may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Bertolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios Hit paper breakdown → | 2020 | 365 |
| 2 | 2009 | 163 | |
| 3 | 2012 | 134 | |
| 4 | 2018 | 65 | |
| 5 | 2014 | 37 | |
| 6 | 2018 | 29 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2016 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2018 | 5 | |
| 13 | 2024 | 4 | |
| 14 | A Resampling Approach for Imbalanceness on Music Genre Classification using Spectrograms. | 2018 | 3 |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2017 | 2 |
About Diego Bertolini
Diego Bertolini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Food Science, having authored 37 papers that have together received 891 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Natural Language Processing Techniques (6 papers), Digital Media Forensic Detection (5 papers), Image Retrieval and Classification Techniques (4 papers), Face and Expression Recognition (3 papers), Music and Audio Processing (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Health Informatics (51 citations), Computer Vision and Pattern Recognition (380 citations), Radiology, Nuclear Medicine and Imaging (339 citations), Media Technology (117 citations) and Artificial Intelligence (389 citations). Diego Bertolini has collaborated with scholars based in Brazil, Canada and Italy. Frequent co-authors include Luiz S. Oliveira, Yandre M. G. Costa, Robert Sabourin, Lucas Teixeira, Rodolfo M. Pereira, Edson Justino, Carlos N. Silla, Adriano Brandelli, Ana Paula Folmer Corrêa and Flávio Fonseca Veras. Their work appears in journals such as Artificial Intelligence Review, Expert Systems with Applications, Knowledge-Based Systems, Physiology & Behavior and Computer Methods and Programs in Biomedicine.
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.