Fernando V. Paulovich
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Molecular Biology
- Signal Processing top 2%
- Co-authors
- Rosane MinghimLuís Gustavo NonatoMaria Cristina Ferreira de OliveiraOsvaldo N. OliveiraMário Popolin NetoHaim LevkowitzDanilo Barbosa CoimbraJosé Alberto Cuminato
- Topics
- Data Visualization and Analytics (47 papers)Image Retrieval and Classification Techniques (18 papers)Computer Graphics and Visualization Techniques (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnalytical Chemistry
- Partner nations
- BrazilCanadaNetherlands
In The Last Decade
Fernando V. Paulovich
105 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 593
- Biomedical Engineering 413
- Molecular Biology 331
- Signal Processing 326
Countries citing papers authored by Fernando V. Paulovich
This map shows the geographic impact of Fernando V. Paulovich'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 Fernando V. Paulovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando V. Paulovich more than expected).
Fields of papers citing papers by Fernando V. Paulovich
This network shows the impact of papers produced by Fernando V. Paulovich. 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 Fernando V. Paulovich. The network helps show where Fernando V. Paulovich may publish in the future.
Co-authorship network of co-authors of Fernando V. Paulovich
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando V. Paulovich. A scholar is included among the top collaborators of Fernando V. Paulovich 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 Fernando V. Paulovich. Fernando V. Paulovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 35 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | 26 |
About Fernando V. Paulovich
Fernando V. Paulovich is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 110 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (47 papers), Image Retrieval and Classification Techniques (18 papers) and Computer Graphics and Visualization Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (175 citations) and Signal Processing (326 citations). Fernando V. Paulovich has collaborated with scholars based in Brazil, Canada and Netherlands. Frequent co-authors include Rosane Minghim, Luís Gustavo Nonato, Maria Cristina Ferreira de Oliveira, Osvaldo N. Oliveira, Mário Popolin Neto, Haim Levkowitz, Danilo Barbosa Coimbra, José Alberto Cuminato, Paulo Joia and Alneu de Andrade Lopes. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.
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.