Allan Pinto

1.4k citations
32 papers · 789 · h-index 13

Impact in

Papers in

Allan Pinto

31 papers receiving 754 citations

Peers

Allan Pinto
Comparison fields: 5 of 108
  • Signal Processing 484
  • Computer Vision and Pattern Recognition 485
  • Orthopedics and Sports Medicine 68
  • Information Systems 139
  • Safety Research 37
Replace Nasharuddin Zainal with:
Nasharuddin Zainal Malaysia
Eliza Yingzi Du United States
Stuart Morgan Australia
Sanaul Hoque United Kingdom
Xavier Sevillano Spain
Prerana Mukherjee India
Insaf Adjabi Algeria
Qiming Li China
Dzati Athiar Ramli Malaysia
Reuben A. Farrugia Malta
Allan Pinto relative to Nasharuddin Zainal Malaysia Nasharuddin Zainal's profile →
Citations per field
00.5×10×17×
Nasharuddin Zainal · 1×
Citations per year

Countries citing papers authored by Allan Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Allan Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Allan Pinto, 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 Allan Pinto Line = papers co-authored together Allan Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
1Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
2016239
2 2015129
3 201583
4 201261
5 202238
6 202029
7 201923
8 202020
9 202116
10 202215
11 202413
12 202312
13 202112
14 202211
15 202010
16 20239
17 20229
18 20238
19 20237
20 20236

About Allan Pinto

Allan Pinto is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine, Signal Processing, Artificial Intelligence and Economics and Econometrics, having authored 32 papers that have together received 789 indexed citations. Recurring topics across this work include Sports Performance and Training (7 papers), Biometric Identification and Security (5 papers), Handwritten Text Recognition Techniques (4 papers), Sports Analytics and Performance (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Face recognition and analysis (3 papers), Digital Media Forensic Detection (3 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Signal Processing (484 citations), Computer Vision and Pattern Recognition (485 citations), Orthopedics and Sports Medicine (68 citations), Information Systems (139 citations) and Safety Research (37 citations). Allan Pinto has collaborated with scholars based in Brazil, Norway and United States. Frequent co-authors include Hélio Pedrini, Anderson Rocha, William Robson Schwartz, Giovani Chiachia, Ricardo da Silva Torres, Sérgio Augusto Cunha, Felipe Arruda Moura, Paulo Roberto Pereira Santiago, Ibrahim A. Hameed and Tiago Carvalho. Their work appears in journals such as PLoS ONE, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Information Forensics and Security, IEEE Access and Scientific Reports.

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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