Leandro A. Passos

1.2k total citations
48 papers, 666 citations indexed

About

Leandro A. Passos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Leandro A. Passos has authored 48 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Leandro A. Passos's work include Electricity Theft Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). Leandro A. Passos is often cited by papers focused on Electricity Theft Detection Techniques (12 papers), Anomaly Detection Techniques and Applications (9 papers) and Generative Adversarial Networks and Image Synthesis (8 papers). Leandro A. Passos collaborates with scholars based in Brazil, United Kingdom and Spain. Leandro A. Passos's co-authors include João Paulo Papa, Kelton Augusto Pontara da Costa, Victor Hugo C. de Albuquerque, Douglas Rodrigues, Dinesh Kumar, Tiago Carvalho, Edmar Rezende, André Nunes de Souza, Parham Khojasteh and Behzad Aliahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Leandro A. Passos

44 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leandro A. Passos Brazil 15 229 211 142 140 73 48 666
Sandeep Kumar Mathivanan India 17 244 1.1× 310 1.5× 216 1.5× 30 0.2× 69 0.9× 99 929
Minglei Li China 13 246 1.1× 191 0.9× 282 2.0× 42 0.3× 65 0.9× 58 907
Necaattin Barışçı Türkiye 12 132 0.6× 90 0.4× 120 0.8× 120 0.9× 56 0.8× 57 525
Benayad Nsiri Morocco 12 111 0.5× 98 0.5× 42 0.3× 55 0.4× 26 0.4× 66 528
Sudanthi Wijewickrema Australia 13 239 1.0× 266 1.3× 109 0.8× 25 0.2× 100 1.4× 54 672
D. Selvathi India 14 326 1.4× 186 0.9× 184 1.3× 74 0.5× 51 0.7× 78 746
Philipp Seeböck Austria 9 274 1.2× 661 3.1× 460 3.2× 42 0.3× 93 1.3× 19 1.2k
P. Manimegalai India 14 172 0.8× 103 0.5× 108 0.8× 60 0.4× 85 1.2× 96 686
Shamik Tiwari India 18 315 1.4× 280 1.3× 189 1.3× 73 0.5× 61 0.8× 74 975

Countries citing papers authored by Leandro A. Passos

Since Specialization
Citations

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

Fields of papers citing papers by Leandro A. Passos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro A. Passos. 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 Leandro A. Passos. The network helps show where Leandro A. Passos may publish in the future.

Co-authorship network of co-authors of Leandro A. Passos

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro A. Passos. A scholar is included among the top collaborators of Leandro A. Passos 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 Leandro A. Passos. Leandro A. Passos 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
1.
Passos, Leandro A., et al.. (2025). Facial Expression Analysis in Parkinsons’s Disease Using Machine Learning: A Review. ACM Computing Surveys. 57(8). 1–25. 1 indexed citations
2.
Passos, Leandro A., et al.. (2024). Facial expressions to identify post-stroke: A pilot study. Computer Methods and Programs in Biomedicine. 250. 108195–108195. 6 indexed citations
3.
Fourati, Rahma, et al.. (2024). A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing. 608. 128378–128378. 3 indexed citations
4.
Passos, Leandro A., et al.. (2024). Video Assessment to Detect Amyotrophic Lateral Sclerosis. SHILAP Revista de lepidopterología. 8(1). 171–180. 2 indexed citations
5.
Passos, Leandro A., Kelton Augusto Pontara da Costa, Luis A. de Souza, et al.. (2024). A review of deep learning‐based approaches for deepfake content detection. Expert Systems. 41(8). 31 indexed citations
6.
7.
Fourati, Rahma, Mandar Gogate, Kia Dashtipour, et al.. (2024). AVSE-Pruner: Filter Pruning of Audio-Visual Speech Enhancement System using Multi-objective Binary Particle Swarm Optimization. 24–29. 1 indexed citations
8.
Passos, Leandro A., et al.. (2023). OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. 1 indexed citations
9.
Oliveira, Guilherme, et al.. (2023). Tabular data augmentation for video-based detection of hypomimia in Parkinson’s disease. Computer Methods and Programs in Biomedicine. 240. 107713–107713. 15 indexed citations
10.
Passos, Leandro A., et al.. (2022). PL-kNN: A Python-based implementation of a parameterless k -Nearest Neighbors classifier. Software Impacts. 15. 100459–100459. 11 indexed citations
11.
Santos, Claudio Filipi Gonçalves dos, et al.. (2022). Gait Recognition Based on Deep Learning: A Survey. ACM Computing Surveys. 55(2). 1–34. 63 indexed citations
12.
Colombo, Danilo, et al.. (2022). A Novel Approach to Well Barrier Survival Analysis using Machine Learning. 1767–1774. 1 indexed citations
13.
Passos, Leandro A., et al.. (2021). Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines. Computers in Biology and Medicine. 131. 104260–104260. 37 indexed citations
14.
Passos, Leandro A., et al.. (2021). Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Applied Soft Computing. 108. 107466–107466. 16 indexed citations
15.
Souza, Luis A. de, Leandro A. Passos, Robert Mendel, et al.. (2020). Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Computers in Biology and Medicine. 126. 104029–104029. 33 indexed citations
16.
Costa, Kelton Augusto Pontara da, João Paulo Papa, Leandro A. Passos, et al.. (2020). A critical literature survey and prospects on tampering and anomaly detection in image data. Applied Soft Computing. 97. 106727–106727. 24 indexed citations
17.
Passos, Leandro A., Douglas Rodrigues, & João Paulo Papa. (2019). Quaternion-Based Backtracking Search Optimization Algorithm. UNESP Institutional Repository (São Paulo State University). 3014–3021. 3 indexed citations
18.
Passos, Leandro A., Raimir Holanda Filho, Victor Hugo C. de Albuquerque, et al.. (2018). Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE Network. 33(2). 126–131. 28 indexed citations
19.
Khojasteh, Parham, Leandro A. Passos, Tiago Carvalho, et al.. (2018). Exudate detection in fundus images using deeply-learnable features. Computers in Biology and Medicine. 104. 62–69. 101 indexed citations
20.
Passos, Leandro A. & João Paulo Papa. (2017). Temperature-Based Deep Boltzmann Machines. Neural Processing Letters. 48(1). 95–107. 4 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 Sandeep Kumar Mathivanan Breakdown of academic impact, for papers by Minglei Li Breakdown of academic impact, for papers by Necaattin Barışçı Breakdown of academic impact, for papers by Benayad Nsiri Breakdown of academic impact, for papers by Sudanthi Wijewickrema Breakdown of academic impact, for papers by D. Selvathi Breakdown of academic impact, for papers by Philipp Seeböck Breakdown of academic impact, for papers by P. Manimegalai Breakdown of academic impact, for papers by Shamik Tiwari
Rankless by CCL
2026