Fernando V. Paulovich

3.8k citations
110 papers · 2.3k indexed · h-index 27

Fernando V. Paulovich

105 papers receiving 2.3k citations

Peers

Fernando V. Paulovich
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 1.2k
  • Computer Graphics and Computer-Aided Design 175
  • Signal Processing 326
  • Bioengineering 133
  • Artificial Intelligence 593
Replace Maria Cristina Ferreira de Oliveira with:
Maria Cristina Ferreira de Oliveira Brazil
Xue Bai China
Yushu Zhang China
Wayne Burleson United States
Hui Fang United States
Michael Segal Israel
Chuan Qin China
P.N. Yianilos United States
Xiaoqi Li China
Xinpeng Zhang China
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Citations per field
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Maria Cristina Ferreira de Oliveira · 1×
Citations per year

Countries citing papers authored by Fernando V. Paulovich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Fernando V. Paulovich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando V. Paulovich Line = papers co-authored together Fernando V. Paulovich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20252
3 20251
4 20242
5 20236
6 20238
7 202219
8 20222
9 20226
10 20227
11 20223
12 202235
13 20216
14 20211
15 202115
16 20213
17 202110
18 202011
19 20209
20 201426

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), Computer Graphics and Visualization Techniques (15 papers), Video Analysis and Summarization (14 papers), Data Management and Algorithms (14 papers), Advanced Image and Video Retrieval Techniques (13 papers), Biosensors and Analytical Detection (12 papers) and Advanced Chemical Sensor Technologies (12 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 IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Computer Graphics Forum, Information Visualization and Journal of Chemical Information and Modeling.

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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