Luciano Silva

2.2k total citations
85 papers, 1.4k citations indexed

About

Luciano Silva is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Luciano Silva has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 23 papers in Aerospace Engineering and 13 papers in Geology. Recurrent topics in Luciano Silva's work include Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (23 papers) and Face recognition and analysis (16 papers). Luciano Silva is often cited by papers focused on Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (23 papers) and Face recognition and analysis (16 papers). Luciano Silva collaborates with scholars based in Brazil, United States and Germany. Luciano Silva's co-authors include Olga Regina Pereira Bellon, Maurício Pamplona Segundo, Kim L. Boyer, Chaua Queirolo, Leonardo Gomes, Paulo Gotardo, Roberto Pereira, Mônica Nunes Lima Cat, Vítor Albiero and Gérard Medioni and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Endodontics.

In The Last Decade

Luciano Silva

80 papers receiving 1.3k citations

Peers

Luciano Silva
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 956
  • Aerospace Engineering 355
  • Geology 323
  • Signal Processing 245
  • Computational Mechanics 130
Replace Olga Regina Pereira Bellon with:
Olga Regina Pereira Bellon Brazil
Jean‐Charles Bazin South Korea
Alex Colburn United States
Robert Sablatnig Austria
Rohit Girdhar United States
Sotiris Malassiotis Greece
Aldo Laurentini Italy
Sean Bell United States
Nick Pears United Kingdom
Michael Donoser Austria
Olga Regina Pereira Bellon Brazil View profile →
Citations per field, relative to Luciano Silva
Luciano Silva · 1×
Citations per year, relative to Luciano Silva
Luciano Silva · 1×

Countries citing papers authored by Luciano Silva

Since Specialization
Citations

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

Fields of papers citing papers by Luciano Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luciano Silva. 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 Luciano Silva. The network helps show where Luciano Silva may publish in the future.

Co-authorship network of co-authors of Luciano Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Luciano Silva. A scholar is included among the top collaborators of Luciano Silva 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 Luciano Silva. Luciano Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 6
4 4
5 3
6 5
7 8
8 92
9 147
10 3
11 0
12 3
13 7
14 44
15
Using Conceptual Lattices to Represent Fine Granular Learning Objects through SCORM Meta-Objects.
7
16 7
17 1
18 2
19 17
20 25

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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