Allan Pinto

1.3k total citations
31 papers, 767 citations indexed

About

Allan Pinto is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine and Signal Processing. According to data from OpenAlex, Allan Pinto has authored 31 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Orthopedics and Sports Medicine and 6 papers in Signal Processing. Recurrent topics in Allan Pinto's work include Sports Performance and Training (7 papers), Biometric Identification and Security (5 papers) and Sports Analytics and Performance (5 papers). Allan Pinto is often cited by papers focused on Sports Performance and Training (7 papers), Biometric Identification and Security (5 papers) and Sports Analytics and Performance (5 papers). Allan Pinto collaborates with scholars based in Brazil, Norway and United States. Allan Pinto's co-authors include Hélio Pedrini, Anderson Rocha, William Robson Schwartz, Giovani Chiachia, David Menotti, Ricardo da Silva Torres, Sérgio Augusto Cunha, Paulo Roberto Pereira Santiago, Ibrahim A. Hameed and Felipe Arruda Moura and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Allan Pinto

31 papers receiving 731 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Allan Pinto Brazil 12 484 480 140 68 65 31 767
Sanaul Hoque United Kingdom 12 185 0.4× 206 0.4× 121 0.9× 2 0.0× 14 0.2× 60 449
Eliza Yingzi Du United States 13 247 0.5× 223 0.5× 104 0.7× 1 0.0× 19 0.3× 39 489
Raid Rafi Omar Al-Nima Iraq 13 177 0.4× 134 0.3× 36 0.3× 41 0.6× 59 468
Xavier Sevillano Spain 13 109 0.2× 190 0.4× 12 0.1× 15 0.2× 11 0.2× 38 602
Prerana Mukherjee India 11 193 0.4× 58 0.1× 34 0.2× 5 0.1× 4 0.1× 39 342
Insaf Adjabi Algeria 5 301 0.6× 145 0.3× 44 0.3× 7 0.1× 8 449
Stuart Morgan Australia 17 212 0.4× 53 0.1× 12 0.1× 546 8.0× 11 0.2× 38 874
Dzati Athiar Ramli Malaysia 13 99 0.2× 193 0.4× 51 0.4× 7 0.1× 52 449
Reuben A. Farrugia Malta 13 546 1.1× 277 0.6× 14 0.1× 7 0.1× 77 693

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-authorship network of co-authors of Allan Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Allan Pinto. A scholar is included among the top collaborators of Allan Pinto 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 Allan Pinto. Allan Pinto 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
2.
Antunes, André Saraiva Leão Marcelo, Maria Carolina Pedro Athié, Allan Pinto, et al.. (2024). Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders. Frontiers in Neuroscience. 18. 1340345–1340345. 12 indexed citations
3.
Claro, Pedro Ivo Cunha, Gabriel R. Schleder, Nathaly Lopes Archilha, et al.. (2023). From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron capabilities, and data-driven processing. Applied Physics Reviews. 10(2). 12 indexed citations
4.
Beltrame, Thomas, et al.. (2023). Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data. PLoS ONE. 18(3). e0282398–e0282398. 8 indexed citations
5.
Bini, Rodrigo Rico, Gil Serrancolí, Paulo Roberto Pereira Santiago, Allan Pinto, & Felipe Arruda Moura. (2023). Criterion validity of neural networks to assess lower limb motion during cycling. Journal of Sports Sciences. 41(1). 36–44. 6 indexed citations
6.
Wu, Di, Allan Pinto, Ibrahim A. Hameed, et al.. (2023). The PlastOPol system for marine litter monitoring by citizen scientists. Environmental Modelling & Software. 169. 105784–105784. 6 indexed citations
7.
Vieira, Luiz Henrique Palucci, Paulo Roberto Pereira Santiago, Allan Pinto, et al.. (2022). Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context. International Journal of Environmental Research and Public Health. 19(3). 1179–1179. 14 indexed citations
8.
Pinto, Allan, et al.. (2022). Litter Detection with Deep Learning: A Comparative Study. Sensors. 22(2). 548–548. 36 indexed citations
10.
Manchado-Gobatto, Fúlvia de Barros, Wladimir Rafael Beck, Allan Pinto, et al.. (2022). Complex networks analysis reinforces centrality hematological role on aerobic–anaerobic performances of the Brazilian Paralympic endurance team after altitude training. Scientific Reports. 12(1). 1148–1148. 9 indexed citations
11.
Gobatto, Cláudio Alexandre, et al.. (2021). Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match. Scientific Reports. 11(1). 11148–11148. 10 indexed citations
12.
Barbon, Sylvio, et al.. (2021). Sport action mining: Dribbling recognition in soccer. Multimedia Tools and Applications. 81(3). 4341–4364. 14 indexed citations
13.
Segundo, Maurício Pamplona, Allan Pinto, Rodrigo Minetto, Ricardo da Silva Torres, & Sudeep Sarkar. (2021). Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 7213–7224. 3 indexed citations
14.
Pinto, Allan, et al.. (2020). On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE Access. 8. 81257–81270. 3 indexed citations
15.
Pinto, Allan, et al.. (2020). A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4399–4409. 19 indexed citations
16.
Pinto, Allan, et al.. (2020). Pelee-Text++: A Tiny Neural Network for Scene Text Detection. IEEE Access. 8. 223172–223188. 10 indexed citations
17.
Pinto, Allan, et al.. (2019). Performance-level indicators of male elite handball teams. International Journal of Performance Analysis in Sport. 20(1). 1–9. 22 indexed citations
18.
Pinto, Allan, et al.. (2019). Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection. 400–405. 4 indexed citations
19.
Menotti, David, Giovani Chiachia, Allan Pinto, et al.. (2016). 1Deep Representations for Iris, Face, and Fingerprint Spoofing Detection. 239 indexed citations
20.
Pinto, Allan, Hélio Pedrini, William Robson Schwartz, & Anderson Rocha. (2015). Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes. IEEE Transactions on Image Processing. 24(12). 4726–4740. 129 indexed citations

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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