Adriano Pinto

3.2k total citations · 1 hit paper
10 papers, 2.1k citations indexed

About

Adriano Pinto is a scholar working on Computer Vision and Pattern Recognition, Neurology and Epidemiology. According to data from OpenAlex, Adriano Pinto has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Neurology and 4 papers in Epidemiology. Recurrent topics in Adriano Pinto's work include Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (5 papers) and Medical Image Segmentation Techniques (5 papers). Adriano Pinto is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), Advanced Neural Network Applications (5 papers) and Medical Image Segmentation Techniques (5 papers). Adriano Pinto collaborates with scholars based in Portugal, Switzerland and Netherlands. Adriano Pinto's co-authors include Carlos A. Silva, Sérgio Pereira, Victor Alves, Mauricio Reyes, Roland Wiest, Richard McKinley, Adriënne M. Mendrik, J. H. Correia, Hugo Dinis and Raphael Meier and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Adriano Pinto

10 papers receiving 2.0k citations

Hit Papers

Brain Tumor Segmentation Using Convolutional Neural Netwo... 2016 2026 2019 2022 2016 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
    2016 1.8k citations Sérgio Pereira, Adriano Pinto et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adriano Pinto Portugal 8 1.3k 1.3k 614 561 286 10 2.1k
Mohammad Havaei Canada 13 1.3k 1.0× 1.6k 1.3× 733 1.2× 789 1.4× 306 1.1× 16 2.5k
Axel Davy France 9 1.2k 0.9× 1.4k 1.1× 712 1.2× 642 1.1× 313 1.1× 16 2.3k
Carlos A. Silva Portugal 20 1.4k 1.1× 1.6k 1.2× 1.1k 1.8× 836 1.5× 377 1.3× 55 3.1k
Sérgio Pereira Portugal 19 1.4k 1.1× 1.6k 1.3× 1.2k 1.9× 892 1.6× 356 1.2× 34 3.0k
Ali Hatamizadeh United States 9 444 0.3× 1.1k 0.8× 810 1.3× 715 1.3× 344 1.2× 14 2.0k
Assaf Hoogi United States 14 451 0.3× 600 0.5× 886 1.4× 841 1.5× 243 0.8× 24 1.8k
Ahmed Elazab China 22 392 0.3× 427 0.3× 593 1.0× 604 1.1× 145 0.5× 92 1.7k
Lutz-P. Nolte Switzerland 22 744 0.6× 761 0.6× 304 0.5× 197 0.4× 483 1.7× 38 2.7k
Alfiia Galimzianova United States 8 354 0.3× 379 0.3× 438 0.7× 263 0.5× 157 0.5× 15 1.0k
Evgin Göçeri Türkiye 29 235 0.2× 713 0.6× 628 1.0× 663 1.2× 250 0.9× 52 1.8k

Countries citing papers authored by Adriano Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriano Pinto

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

All Works

10 of 10 papers shown
1.
Pinto, Adriano, et al.. (2021). Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning. IEEE Access. 9. 26260–26270. 12 indexed citations
2.
Pinto, Adriano, Sérgio Pereira, Raphael Meier, et al.. (2020). Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical Image Analysis. 69. 101888–101888. 25 indexed citations
3.
Pinto, Adriano, et al.. (2019). Segmentation Squeeze-and-Excitation Blocks in Stroke Lesion Outcome Prediction. 7. 1–4. 3 indexed citations
4.
Pinto, Adriano, Richard McKinley, Victor Alves, et al.. (2018). Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information. Frontiers in Neurology. 9. 1060–1060. 55 indexed citations
5.
Pinto, Adriano, et al.. (2018). Hierarchical brain tumour segmentation using extremely randomized trees. Pattern Recognition. 82. 105–117. 72 indexed citations
6.
Pereira, Sérgio, et al.. (2016). Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields. Journal of Neuroscience Methods. 270. 111–123. 43 indexed citations
7.
Pereira, Sérgio, Adriano Pinto, Victor Alves, & Carlos A. Silva. (2016). Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. IEEE Transactions on Medical Imaging. 35(5). 1240–1251. 1763 indexed citations breakdown →
8.
Pinto, Adriano, et al.. (2015). Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. PubMed. 2015. 3037–3040. 69 indexed citations
9.
Pinto, Adriano, et al.. (2015). Random decision forests for automatic brain tumor segmentation on multi-modal MRI images. 1–5. 24 indexed citations
10.
Pinto, Adriano, Ramiro S. Barbosa, & Manuel F. Silva. (2014). Neural control of an autonomous robot. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 46. 339–344. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mohammad Havaei Breakdown of academic impact, for papers by Axel Davy Breakdown of academic impact, for papers by Carlos A. Silva Breakdown of academic impact, for papers by Sérgio Pereira Breakdown of academic impact, for papers by Ali Hatamizadeh Breakdown of academic impact, for papers by Assaf Hoogi Breakdown of academic impact, for papers by Ahmed Elazab Breakdown of academic impact, for papers by Lutz-P. Nolte Breakdown of academic impact, for papers by Alfiia Galimzianova Breakdown of academic impact, for papers by Evgin Göçeri
Rankless by CCL
2026