Carlos Santiago

669 total citations
31 papers, 414 citations indexed

About

Carlos Santiago is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Carlos Santiago has authored 31 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Carlos Santiago's work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Carlos Santiago is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Carlos Santiago collaborates with scholars based in Portugal, Italy and United States. Carlos Santiago's co-authors include Jacinto C. Nascimento, Francisco Maria Calisto, Nuno Nunes, Jorge S. Marques, João Paulo Fernandes, Catarina Barata, Michele Sasdelli, Gustavo Carneiro, Luca Ciampi and Giuseppe Amato and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Carlos Santiago

30 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Santiago Portugal 12 184 144 114 85 48 31 414
Umberto Maniscalco Italy 8 96 0.5× 50 0.3× 81 0.7× 165 1.9× 67 1.4× 32 482
Tanoy Debnath Bangladesh 7 222 1.2× 131 0.9× 79 0.7× 61 0.7× 56 1.2× 12 561
Arturo Moncada‐Torres Netherlands 9 156 0.8× 69 0.5× 92 0.8× 38 0.4× 54 1.1× 15 440
Asma Salhi Australia 6 185 1.0× 35 0.2× 68 0.6× 124 1.5× 51 1.1× 15 456
Pranjal Kumar India 6 126 0.7× 77 0.5× 36 0.3× 57 0.7× 22 0.5× 12 343
Francisco Maria Calisto Portugal 8 184 1.0× 36 0.3× 85 0.7× 119 1.4× 17 0.4× 9 340
Javier Civit-Masot Spain 12 195 1.1× 156 1.1× 263 2.3× 41 0.5× 47 1.0× 22 515
Surendrabikram Thapa United States 13 202 1.1× 38 0.3× 42 0.4× 49 0.6× 25 0.5× 49 444
Orazio Gambino Italy 11 88 0.5× 142 1.0× 122 1.1× 25 0.3× 33 0.7× 39 358
Muhammad Mujahid Saudi Arabia 10 257 1.4× 59 0.4× 92 0.8× 26 0.3× 18 0.4× 32 508

Countries citing papers authored by Carlos Santiago

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Santiago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Santiago

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Santiago. A scholar is included among the top collaborators of Carlos Santiago 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 Carlos Santiago. Carlos Santiago 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.
Calisto, Francisco Maria, et al.. (2025). Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels. International Journal of Human-Computer Studies. 197. 103444–103444. 7 indexed citations
2.
Ciampi, Luca, Carlos Santiago, Fabrizio Falchi, Claudio Gennaro, & Giuseppe Amato. (2024). In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach. SN Computer Science. 5(7). 1 indexed citations
3.
Santiago, Carlos, et al.. (2024). Using Counterfactual Information for Breast Classification Diagnosis. 4996–5002.
4.
Santiago, Carlos, et al.. (2024). 3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement. 4646–4656. 1 indexed citations
5.
Bissoto, Alceu, et al.. (2024). MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems. 2395–2403. 1 indexed citations
6.
Calisto, Francisco Maria, et al.. (2023). Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning. 1–4. 16 indexed citations
7.
Calisto, Francisco Maria, et al.. (2023). Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis. 1–20. 54 indexed citations
8.
Calisto, Francisco Maria, Carlos Santiago, Nuno Nunes, & Jacinto C. Nascimento. (2022). BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions. Artificial Intelligence in Medicine. 127. 102285–102285. 79 indexed citations
9.
Ciampi, Luca, Fabio Carrara, Raffaele Mazziotti, et al.. (2022). Learning to count biological structures with raters’ uncertainty. Medical Image Analysis. 80. 102500–102500. 13 indexed citations
10.
Santiago, Carlos, et al.. (2022). Model-Agnostic Temporal Regularizer for Object Localization Using Motion Fields. IEEE Transactions on Image Processing. 31. 2478–2487. 2 indexed citations
11.
Ciampi, Luca, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, & Giuseppe Amato. (2021). Domain Adaptation for Traffic Density Estimation. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations
12.
Sousa, Ricardo, P. M. Ferreira, João Paulo Costeira, et al.. (2021). iFetch. 25–26. 2 indexed citations
13.
Santiago, Carlos, et al.. (2021). CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 1–1. 11 indexed citations
14.
Santiago, Carlos, et al.. (2019). Deep Active Shape Model for Robust Object Fitting. IEEE Transactions on Image Processing. 29. 2380–2394. 17 indexed citations
15.
16.
Santiago, Carlos, et al.. (2019). Video Analysis Based on Human Pose for Unsupervised Summarization and Retrieval. 9. 1–6. 1 indexed citations
17.
Santiago, Carlos, Jacinto C. Nascimento, & Jorge S. Marques. (2018). Combining an Active Shape and Motion Models for Object Segmentation in Image Sequences. 61. 3703–3707. 1 indexed citations
18.
Santiago, Carlos, Jacinto C. Nascimento, & Jorge S. Marques. (2017). Fast segmentation of the left ventricle in cardiac MRI using dynamic programming. Computer Methods and Programs in Biomedicine. 154. 9–23. 24 indexed citations
19.
Santiago, Carlos, Jacinto C. Nascimento, & Jorge S. Marques. (2016). A new robust active shape model formulation for cardiac MRI segmentation. 4112–4115. 3 indexed citations
20.
Santiago, Carlos, Jacinto C. Nascimento, & Jorge S. Marques. (2016). A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes. Neural Computing and Applications. 28(9). 2489–2500. 12 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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2026