Luis A. de Souza
- Health Informatics top 5%
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- Gastric Cancer Management and Outcomes 8
- Lung Cancer Diagnosis and Treatment 6
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- Radiomics and Machine Learning in Medical Imaging 3
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- Colorectal Cancer Screening and Detection 4
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- Esophageal Cancer Research and Treatment 10
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- Generative Adversarial Networks and Image Synthesis 3
- Digital Media Forensic Detection 3
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- AI in cancer detection 2
- Co-authors
- João Paulo PapaChristoph PalmRobert MendelAlanna EbigboAndreas ProbstHelmut MessmannJohannes ManzenederFriederike Prinz
- Cited by
- Health InformaticsPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and Imaging
In The Last Decade
Luis A. de Souza
18 papers receiving 602 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 32
- Pulmonary and Respiratory Medicine 290
- Radiology, Nuclear Medicine and Imaging 175
- Oncology 161
- Surgery 255
Countries citing papers authored by Luis A. de Souza
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
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
The 25 scholars most cited alongside Luis A. de Souza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 31 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 85 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 42 | |
| 12 | 2020 | 33 | |
| 13 | 2019 | 123 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 32 | |
| 16 | 2018 | 114 | |
| 17 | 2018 | 27 | |
| 18 | 2018 | 37 | |
| 19 | 2018 | 9 | |
| 20 | 2017 | 17 |
About Luis A. de Souza
Luis A. de Souza is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 20 papers that have together received 632 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (10 papers), Gastric Cancer Management and Outcomes (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Digital Media Forensic Detection (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (32 citations), Pulmonary and Respiratory Medicine (290 citations) and Radiology, Nuclear Medicine and Imaging (175 citations). Luis A. de Souza has collaborated with scholars based in Brazil, Germany and Spain. Frequent co-authors include João Paulo Papa, Christoph Palm, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Johannes Manzeneder, Friederike Prinz, Ram Sarkar and Shibaprasad Sen. Their work appears in journals such as Computers in Biology and Medicine, Gut, Journal of Visual Communication and Image Representation, IEEE Journal of Biomedical and Health Informatics and Computer Methods and Programs in Biomedicine.
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.