Luis A. de Souza

1.2k total citations
20 papers, 632 citations indexed

About

Luis A. de Souza is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Luis A. de Souza has authored 20 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 6 papers in Oncology. Recurrent topics in Luis A. de Souza's work include Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Luis A. de Souza is often cited by papers focused on Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (8 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Luis A. de Souza collaborates with scholars based in Brazil, Germany and Spain. Luis A. de Souza's co-authors include João Paulo Papa, Christoph Palm, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Johannes Manzeneder, Friederike Prinz, Ram Sarkar and Rishav Pramanik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Computer Methods and Programs in Biomedicine.

In The Last Decade

Luis A. de Souza

18 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis A. de Souza Brazil 13 290 255 175 170 161 20 632
Omer F. Ahmad United Kingdom 13 205 0.7× 173 0.7× 191 1.1× 106 0.6× 331 2.1× 38 658
Kenichi Takeda Japan 9 252 0.9× 155 0.6× 235 1.3× 136 0.8× 433 2.7× 21 575
Talal Alkayali United States 5 197 0.7× 85 0.3× 243 1.4× 170 1.0× 347 2.2× 23 555
Hayato Itoh Japan 10 190 0.7× 108 0.4× 210 1.2× 109 0.6× 346 2.1× 38 514
Priyam Tripathi United States 3 230 0.8× 79 0.3× 240 1.4× 168 1.0× 383 2.4× 6 550
Robert Mendel Germany 12 300 1.0× 265 1.0× 143 0.8× 89 0.5× 168 1.0× 24 516
Xiaoda Jiang China 12 204 0.7× 108 0.4× 126 0.7× 63 0.4× 218 1.4× 23 468
Yukitaka Nimura Japan 7 162 0.6× 68 0.3× 158 0.9× 77 0.5× 157 1.0× 25 357
Hirokazu Nosato Japan 9 57 0.2× 99 0.4× 105 0.6× 95 0.6× 107 0.7× 54 347
Beomhee Park South Korea 12 218 0.8× 33 0.1× 299 1.7× 124 0.7× 81 0.5× 16 543

Countries citing papers authored by Luis A. de Souza

Since Specialization
Citations

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

Fields of papers citing papers by Luis A. de Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis A. de Souza. 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 Luis A. de Souza. The network helps show where Luis A. de Souza may publish in the future.

Co-authorship network of co-authors of Luis A. de Souza

This figure shows the co-authorship network connecting the top 25 collaborators of Luis A. de Souza. A scholar is included among the top collaborators of Luis A. de Souza 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 Luis A. de Souza. Luis A. de Souza 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.
Souza, Luis A. de, et al.. (2025). MetaBlock-SE: A Method to Deal With Missing Metadata in Multimodal Skin Cancer Classification. IEEE Journal of Biomedical and Health Informatics. 29(12). 8855–8862.
2.
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
3.
Souza, Luis A. de, Leandro A. Passos, Robert Mendel, et al.. (2024). Layer-selective deep representation to improve esophageal cancer classification. Medical & Biological Engineering & Computing. 62(11). 3355–3372. 1 indexed citations
4.
Souza, Luis A. de, et al.. (2024). LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. 1–6. 3 indexed citations
5.
Souza, Luis A. de, André G. C. Pacheco, Leandro A. Passos, et al.. (2024). DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett’s esophagus. Neural Computing and Applications. 36(18). 10445–10459.
6.
Mendel, Robert, David Rauber, Luis A. de Souza, João Paulo Papa, & Christoph Palm. (2023). Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Computers in Biology and Medicine. 154. 106585–106585. 12 indexed citations
7.
Passos, Leandro A., Kelton Augusto Pontara da Costa, Luis A. de Souza, et al.. (2023). A Review of Deep Learning-based Approaches for Deepfake Content Detection. 19 indexed citations
8.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2022). Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm. Gut. 71(12). 2388–2390. 23 indexed citations
9.
Pramanik, Rishav, et al.. (2022). A fuzzy distance-based ensemble of deep models for cervical cancer detection. Computer Methods and Programs in Biomedicine. 219. 106776–106776. 85 indexed citations
10.
Passos, Leandro A., Kelton Augusto Pontara da Costa, Luis A. de Souza, et al.. (2022). A Review of Deep Learning-based Approaches for Deepfake Content Detection. arXiv (Cornell University). 11 indexed citations
11.
Souza, Luis A. de, Robert Mendel, Alanna Ebigbo, et al.. (2021). Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. Computers in Biology and Medicine. 135. 104578–104578. 42 indexed citations
12.
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
13.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2019). Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus. Gut. 69(4). 615–616. 123 indexed citations
14.
Passos, Leandro A., Luis A. de Souza, Robert Mendel, et al.. (2019). Barrett’s esophagus analysis using infinity Restricted Boltzmann Machines. Journal of Visual Communication and Image Representation. 59. 475–485. 13 indexed citations
15.
Ebigbo, Alanna, Christoph Palm, Andreas Probst, et al.. (2019). A technical review of artificial intelligence as applied to gastrointestinal endoscopy: clarifying the terminology. SHILAP Revista de lepidopterología. 7(12). E1616–E1623. 32 indexed citations
16.
Ebigbo, Alanna, Robert Mendel, Andreas Probst, et al.. (2018). Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma. Gut. 68(7). 1143–1145. 114 indexed citations
17.
Souza, Luis A. de, Alanna Ebigbo, Andreas Probst, et al.. (2018). Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. UNESP Institutional Repository (São Paulo State University). 166–173. 9 indexed citations
18.
Souza, Luis A. de, Aparecido Nilceu Marana, & Silke Anna Theresa Weber. (2018). Automatic frontal sinus recognition in computed tomography images for person identification. Forensic Science International. 286. 252–264. 27 indexed citations
19.
Souza, Luis A. de, Christoph Palm, Robert Mendel, et al.. (2018). A survey on Barrett's esophagus analysis using machine learning. Computers in Biology and Medicine. 96. 203–213. 37 indexed citations
20.
Souza, Luis A. de, Luis C. S. Afonso, Christoph Palm, & João Paulo Papa. (2017). Barrett's Esophagus Identification Using Optimum-Path Forest. UNESP Institutional Repository (São Paulo State University). 308–314. 17 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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