Sérgio Pereira
- Neurology top 0.5%
- Brain Tumor Detection and Classification 9
- Health Informatics top 0.5%
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- Advanced Neural Network Applications 10
- Medical Image Segmentation Techniques 9
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- Radiomics and Machine Learning in Medical Imaging 8
- Retinal Imaging and Analysis 4
- Artificial Intelligence top 1%
- AI in cancer detection 4
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- Cancer Immunotherapy and Biomarkers 5
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Carlos A. SilvaAdriano PintoVictor AlvesRaphael MeierMauricio ReyesRoland WiestFried-Michael DahlweidRonald M. Summers
- Journals
- Journal of Clinical Oncology (3 papers)Clinical Cancer Research (1 paper)Green Chemistry (1 paper)
- Partner nations
- PortugalSouth KoreaUnited States
In The Last Decade
Sérgio Pereira
32 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Neurology 1.4k
- Health Informatics 166
- Computer Vision and Pattern Recognition 1.6k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 892
Countries citing papers authored by Sérgio Pereira
This map shows the geographic impact of Sérgio Pereira'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 Sérgio Pereira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sérgio Pereira more than expected).
Fields of papers citing papers by Sérgio Pereira
This network shows the impact of papers produced by Sérgio Pereira. 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 Sérgio Pereira. The network helps show where Sérgio Pereira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sérgio Pereira, 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 | 2024 | 12 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 67 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 40 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 283 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 72 | |
| 14 | 2018 | 68 | |
| 15 | 2017 | 79 | |
| 16 | 2017 | 29 | |
| 17 | 2016 | 28 | |
| 18 | 2016 | 43 | |
| 19 | 2015 | 69 | |
| 20 | 2013 | 20 |
About Sérgio Pereira
Sérgio Pereira is a scholar working on Neurology, Computer Vision and Pattern Recognition and Health Informatics, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Medical Image Segmentation Techniques (9 papers), Brain Tumor Detection and Classification (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), AI in cancer detection (4 papers), Retinal Imaging and Analysis (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Neurology (1.4k citations), Health Informatics (166 citations) and Computer Vision and Pattern Recognition (1.6k citations). Sérgio Pereira has collaborated with scholars based in Portugal, South Korea and United States. Frequent co-authors include Carlos A. Silva, Adriano Pinto, Victor Alves, Raphael Meier, Mauricio Reyes, Roland Wiest, Fried-Michael Dahlweid, Ronald M. Summers, Hendrik von Tengg‐Kobligk and Seonwook Park. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and Green Chemistry.
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.