Oscar Jiménez–del–Toro

516 total citations
14 papers, 111 citations indexed

About

Oscar Jiménez–del–Toro is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Oscar Jiménez–del–Toro has authored 14 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Oscar Jiménez–del–Toro's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). Oscar Jiménez–del–Toro is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (5 papers) and AI in cancer detection (4 papers). Oscar Jiménez–del–Toro collaborates with scholars based in Switzerland, United Kingdom and United States. Oscar Jiménez–del–Toro's co-authors include Henning Müller, Manfredo Atzori, Sebastian Otálora, Markus M. Obmann, Roger Schaer, Roger Schaer, Michael Bach, Ender Konukoğlu, Adrien Depeursinge and Christoph Aberle and has published in prestigious journals such as Scientific Reports, Medical Physics and Computer Methods and Programs in Biomedicine.

In The Last Decade

Oscar Jiménez–del–Toro

14 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oscar Jiménez–del–Toro Switzerland	7	68	57	37	20	18	14	111
Annika Reinke Germany	7	62 0.9×	57 1.0×	34 0.9×	22 1.1×	12 0.7×	14	140
Tobias Roß Germany	6	67 1.0×	53 0.9×	28 0.8×	37 1.9×	12 0.7×	6	143
Adi Szeskin Israel	8	92 1.4×	40 0.7×	38 1.0×	16 0.8×	8 0.4×	11	173
Paul F. Jäger Germany	6	88 1.3×	60 1.1×	33 0.9×	65 3.3×	38 2.1×	18	188
Rijo Roy Germany	5	94 1.4×	77 1.4×	37 1.0×	78 3.9×	18 1.0×	6	225
Ali Emre Kavur Türkiye	4	48 0.7×	41 0.7×	17 0.5×	35 1.8×	8 0.4×	8	109
Mehak Aggarwal India	4	91 1.3×	68 1.2×	19 0.5×	15 0.8×	13 0.7×	8	181
Martin Hedlund Sweden	6	37 0.5×	62 1.1×	18 0.5×	38 1.9×	12 0.7×	13	96
Ho Hin Lee United States	8	108 1.6×	64 1.1×	43 1.2×	89 4.5×	15 0.8×	30	210
Senan Doyle France	6	35 0.5×	45 0.8×	14 0.4×	34 1.7×	8 0.4×	10	131

Countries citing papers authored by Oscar Jiménez–del–Toro

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Jiménez–del–Toro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar Jiménez–del–Toro. 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 Oscar Jiménez–del–Toro. The network helps show where Oscar Jiménez–del–Toro may publish in the future.

Co-authorship network of co-authors of Oscar Jiménez–del–Toro

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Jiménez–del–Toro. A scholar is included among the top collaborators of Oscar Jiménez–del–Toro 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 Oscar Jiménez–del–Toro. Oscar Jiménez–del–Toro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Jiménez–del–Toro, Oscar, et al.. (2025). A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems. ArXiv.org. 3(Special on FAIMI). 938–957. 1 indexed citations

Jiménez–del–Toro, Oscar, Christoph Aberle, Roger Schaer, et al.. (2024). Comparing Stability and Discriminatory Power of Hand-Crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study. ArODES (HES-SO (https://www.hes-so.ch/)). 1–5. 1 indexed citations

Bach, Michael, Christoph Aberle, Adrien Depeursinge, et al.. (2023). 3D‐printed iodine‐ink CT phantom for radiomics feature extraction ‐ advantages and challenges. Medical Physics. 50(9). 5682–5697. 1 indexed citations

Jiménez–del–Toro, Oscar, Yan Guex‐Crosier, Ciara Bergin, et al.. (2023). Fully Automatic Grading of Retinal Vasculitis on Fluorescein Angiography Time-lapse from Real-world Data in Clinical Settings. IRIS. 689–693. 2 indexed citations

Pannatier, Yvan, Philippe Kolh, Davide Calvaresi, et al.. (2023). Breast cancer survival analysis agents for clinical decision support. Computer Methods and Programs in Biomedicine. 231. 107373–107373. 6 indexed citations

Jiménez–del–Toro, Oscar, Christoph Aberle, Michael Bach, et al.. (2022). Assessing radiomics feature stability with simulated CT acquisitions. Scientific Reports. 12(1). 4732–4732. 11 indexed citations

Calvaresi, Davide, et al.. (2021). Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors. Journal of Medical Systems. 45(12). 109–109. 5 indexed citations

Jiménez–del–Toro, Oscar, Christoph Aberle, Michael Bach, et al.. (2021). The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations: Task-Based Analysis in an Anthropomorphic 3D-Printed CT Phantom.. Investigative Radiology. 56(12). 820–825. 13 indexed citations

Jiménez–del–Toro, Oscar, Christoph Aberle, Michael Bach, et al.. (2021). The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations. Investigative Radiology. 56(12). 820–825. 19 indexed citations

10.

Jiménez–del–Toro, Oscar, Yashin Dicente Cid, Alexandra Platon, et al.. (2020). A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT. Computers in Biology and Medicine. 125. 103962–103962. 8 indexed citations

11.

Otálora, Sebastian, Manfredo Atzori, Amjad Khan, et al.. (2020). A systematic comparison of deep learning strategies for weakly supervised Gleason grading. ArODES (HES-SO (https://www.hes-so.ch/)). 20–20. 13 indexed citations

12.

Schaer, Roger, Sebastian Otálora, Oscar Jiménez–del–Toro, Manfredo Atzori, & Henning Müller. (2019). Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature. Journal of Pathology Informatics. 10(1). 19–19. 22 indexed citations

13.

Jiménez–del–Toro, Oscar, Mikaël Rousson, Martin Hedlund, et al.. (2018). Tumor proliferation assessment of whole slide images. ArODES (HES-SO (https://www.hes-so.ch/)). 10140. 33–33. 5 indexed citations

14.

Urovi, Visara, et al.. (2016). COMPOSE: Using temporal patterns for interpreting wearable sensor data with computer interpretable guidelines. Computers in Biology and Medicine. 81. 24–31. 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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