Tiago Ribeiro

832 total citations
57 papers, 506 citations indexed

About

Tiago Ribeiro is a scholar working on Gastroenterology, Oncology and Surgery. According to data from OpenAlex, Tiago Ribeiro has authored 57 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Gastroenterology, 31 papers in Oncology and 24 papers in Surgery. Recurrent topics in Tiago Ribeiro's work include Gastrointestinal Bleeding Diagnosis and Treatment (32 papers), Colorectal Cancer Screening and Detection (24 papers) and Gastric Cancer Management and Outcomes (16 papers). Tiago Ribeiro is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (32 papers), Colorectal Cancer Screening and Detection (24 papers) and Gastric Cancer Management and Outcomes (16 papers). Tiago Ribeiro collaborates with scholars based in Portugal, France and Spain. Tiago Ribeiro's co-authors include Guilherme Macedo, João Afonso, João Ferreira, Miguel Mascarenhas, Hélder Cardoso, Patrícia Andrade, Renato Natal Jorge, Marco Parente, Filipe Vilas‐Boas and Susana Lopes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The American Journal of Gastroenterology.

In The Last Decade

Tiago Ribeiro

52 papers receiving 497 citations

Peers

Tiago Ribeiro
João Afonso Portugal
Andrew Ninh United States
James Requa United States
João Afonso Portugal
Tiago Ribeiro
Citations per year, relative to Tiago Ribeiro Tiago Ribeiro (= 1×) peers João Afonso

Countries citing papers authored by Tiago Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Tiago Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Ribeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Ribeiro. A scholar is included among the top collaborators of Tiago Ribeiro 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 Tiago Ribeiro. Tiago Ribeiro 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.
Mascarenhas, Miguel, Tiago Ribeiro, João Afonso, et al.. (2025). Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy. Journal of Clinical Medicine. 14(2). 549–549. 3 indexed citations
2.
Mascarenhas, Miguel, Tiago Ribeiro, João Afonso, et al.. (2024). Software as a Medical Device (SaMD) in Digestive Healthcare: Regulatory Challenges and Ethical Implications. Diagnostics. 14(18). 2100–2100. 4 indexed citations
3.
Mascarenhas, Miguel, Tiago Ribeiro, João L. Afonso, et al.. (2024). DEEP LEARNING AND ENDOSCOPIC ULTRASOUND: AUTOMATIC DETECTION AND CHARACTERIZATION OF CYSTIC AND SOLID PANCREATIC LESIONS – A MULTICENTRIC STUDY. Gastrointestinal Endoscopy. 99(6). AB8–AB8. 2 indexed citations
4.
Mascarenhas, Miguel, João Afonso, Tiago Ribeiro, et al.. (2024). Deep learning and minimally invasive inflammatory activity assessment: a proof-of-concept study for development and score correlation of a panendoscopy convolutional network. Therapeutic Advances in Gastroenterology. 17. 1118434545–1118434545. 5 indexed citations
5.
Mota, Joana, Maria João Almeida, Tiago Ribeiro, et al.. (2024). From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?. Diagnostics. 14(3). 291–291. 10 indexed citations
6.
Mascarenhas, Miguel, João Afonso, Tiago Ribeiro, et al.. (2024). Deep learning and capsule endoscopy: Automatic multi-brand and multi-device panendoscopic detection of vascular lesions. SHILAP Revista de lepidopterología. 12(4). E570–E578. 4 indexed citations
8.
Mascarenhas, Miguel, et al.. (2023). Deep learning and device-assisted enteroscopy: automatic panendoscopic detection of ulcers and erosions. Endoscopy. 55(S 02). S161–S161. 2 indexed citations
9.
Ribeiro, Tiago, Miguel Mascarenhas, João Afonso, et al.. (2023). Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy. Medicina. 59(4). 810–810. 6 indexed citations
10.
Mascarenhas, Miguel, Tiago Ribeiro, Mariano González-Haba, et al.. (2023). Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study. Cancers. 15(19). 4827–4827. 9 indexed citations
11.
Mascarenhas, Miguel, João Afonso, Tiago Ribeiro, et al.. (2023). The Future of Minimally Invasive Capsule Panendoscopy: Robotic Precision, Wireless Imaging and AI-Driven Insights. Cancers. 15(24). 5861–5861. 8 indexed citations
12.
Mascarenhas, Miguel, João Afonso, Tiago Ribeiro, et al.. (2023). The Promise of Artificial Intelligence in Digestive Healthcare and the Bioethics Challenges It Presents. Medicina. 59(4). 790–790. 16 indexed citations
13.
Mascarenhas, Miguel, João Afonso, Tiago Ribeiro, et al.. (2022). S599 Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Pleomorphic Gastrointestinal Lesions in Device-Assisted Enteroscopy. The American Journal of Gastroenterology. 117(10S). e421–e421. 1 indexed citations
14.
Afonso, João, Miguel Mascarenhas, João Ferreira, et al.. (2022). Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network. Medical & Biological Engineering & Computing. 60(3). 719–725. 24 indexed citations
15.
Fathallah, Nadia, Tiago Ribeiro, João Afonso, et al.. (2022). Artificial intelligence and high-resolution anoscopy: automatic identification of anal squamous cell carcinoma precursors using a convolutional neural network. Techniques in Coloproctology. 26(11). 893–900. 10 indexed citations
16.
Mascarenhas, Miguel, Tiago Ribeiro, Patrícia Andrade, Hélder Cardoso, & Guilherme Macedo. (2021). Capsule enteroscopy versus scintigraphy for the diagnosis of obscure gastrointestinal bleeding. Revista Española de Enfermedades Digestivas. 114(4). 208–212. 2 indexed citations
17.
Mascarenhas, Miguel, Tiago Ribeiro, João Afonso, et al.. (2021). Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network. GE Portuguese Journal of Gastroenterology. 29(5). 331–338. 16 indexed citations
18.
Mascarenhas, Miguel, et al.. (2021). A Gastric Lesion Revealing a Small-Cell Lung Cancer: A Rare Case. GE Portuguese Journal of Gastroenterology. 29(3). 220–222. 1 indexed citations
19.
Mascarenhas, Miguel, et al.. (2020). Vedolizumab-Induced Liver Injury. GE Portuguese Journal of Gastroenterology. 28(6). 410–415. 6 indexed citations
20.
Silva, José Roberto Viana, et al.. (2020). RT-qPCR study of COX-1 and -2 genes in oral surgical model comparing single-dose preemptive ibuprofen and etoricoxib: A randomized clinical trialy. Journal of Clinical and Experimental Dentistry. 12(4). e371–e380. 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.

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