Alberto Traverso

4.3k total citations · 1 hit paper
68 papers, 1.7k citations indexed

About

Alberto Traverso is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Alberto Traverso has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Pulmonary and Respiratory Medicine and 16 papers in Oncology. Recurrent topics in Alberto Traverso's work include Radiomics and Machine Learning in Medical Imaging (47 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Advanced X-ray and CT Imaging (13 papers). Alberto Traverso is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (47 papers), Lung Cancer Diagnosis and Treatment (17 papers) and Advanced X-ray and CT Imaging (13 papers). Alberto Traverso collaborates with scholars based in Netherlands, China and United States. Alberto Traverso's co-authors include André Dekker, Leonard Wee, Robert J. Gillies, Ivan Zhovannik, Mattea Welch, David A. Jaffray, Zhenwei Shi, René Monshouwer, Johan van Soest and Petros Kalendralis and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Alberto Traverso

63 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Repeatability and Reproducibility of Radiomic Features: A Systematic Review

2018 588 citations Alberto Traverso, Leonard Wee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alberto Traverso Netherlands	20	1.4k	528	482	343	271	68	1.7k
Xenia Fave United States	13	1.8k 1.3×	835 1.6×	755 1.6×	309 0.9×	354 1.3×	25	1.9k
Stefano Trebeschi Netherlands	16	1.1k 0.8×	318 0.6×	370 0.8×	201 0.6×	534 2.0×	47	1.5k
Margarita Kirienko Italy	28	1.8k 1.2×	376 0.7×	913 1.9×	255 0.7×	489 1.8×	69	2.3k
Sylvain Reuzé France	12	1.7k 1.2×	436 0.8×	565 1.2×	232 0.7×	372 1.4×	18	2.0k
Maria Vakalopoulou France	12	1.1k 0.7×	249 0.5×	501 1.0×	223 0.7×	432 1.6×	30	1.5k
Yuhua Gu United States	9	2.2k 1.5×	671 1.3×	875 1.8×	489 1.4×	403 1.5×	20	2.5k
Roger Sun France	19	1.7k 1.2×	413 0.8×	706 1.5×	236 0.7×	792 2.9×	67	2.3k
Michele Avanzo Italy	22	1.3k 0.9×	400 0.8×	719 1.5×	253 0.7×	253 0.9×	63	1.8k
Marta Bogowicz Switzerland	20	1.1k 0.8×	314 0.6×	475 1.0×	209 0.6×	277 1.0×	45	1.3k
Avishek Chatterjee Netherlands	17	815 0.6×	247 0.5×	283 0.6×	340 1.0×	103 0.4×	38	1.2k

Countries citing papers authored by Alberto Traverso

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Traverso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Traverso

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

All Works

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20 of 20 papers shown

O’Sullivan, Niall J., Hugo C. Temperley, Bülent Sökmen, et al.. (2025). Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer. Cancer Medicine. 14(4). e70699–e70699.

Negård, Anne, et al.. (2024). Quantitative MRI-based radiomics analysis identifies blood flow feature associated to overall survival for rectal cancer patients. Scientific Reports. 14(1). 258–258. 5 indexed citations

Bajardi, Paolo, Guido Bologna, Francesco Bonchi, et al.. (2024). PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification. Journal of Cancer Policy. 43. 100537–100537.

Zhang, Zhen, Anne‐Marie C. Dingemans, Joachim G.J.V. Aerts, et al.. (2023). Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors. European Journal of Cancer. 183. 142–151. 16 indexed citations

Cui, Sunan, Alberto Traverso, Dipesh Niraula, et al.. (2023). Interpretable artificial intelligence in radiology and radiation oncology. British Journal of Radiology. 96(1150). 20230142–20230142. 9 indexed citations

Jha, Ashish Kumar, Alberto Traverso, Nilendu Purandare, et al.. (2023). Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology. SHILAP Revista de lepidopterología. 4(4). 569–582. 17 indexed citations

Landry, Guillaume, Christopher Kurz, & Alberto Traverso. (2023). The role of artificial intelligence in radiotherapy clinical practice. BJR|Open. 5(1). 20230030–20230030. 19 indexed citations

Wang, Zhixiang, Chongdong Liu, Zhen Zhang, et al.. (2023). Real‐time auto‐segmentation of the ureter in video sequences of gynaecological laparoscopic surgery. International Journal of Medical Robotics and Computer Assisted Surgery. 20(1). e2604–e2604. 5 indexed citations

Wang, Zhixiang, et al.. (2022). CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism. IEEE Access. 10. 105942–105953. 5 indexed citations

10.

Wang, Zhixiang, et al.. (2022). A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma. Frontiers in Endocrinology. 13. 1064434–1064434. 15 indexed citations

11.

Zegers, Catharina M.L., Alberto Traverso, Daniëlle B. P. Eekers, et al.. (2021). Current applications of deep-learning in neuro-oncological MRI. Physica Medica. 83. 161–173. 25 indexed citations

12.

Pfaehler, Elisabeth, Ivan Zhovannik, Lise Wei, et al.. (2021). A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features. Physics and Imaging in Radiation Oncology. 20. 69–75. 63 indexed citations

13.

Traverso, Alberto, Ivan Zhovannik, Mattea Welch, et al.. (2020). Machine learning helps identifying volume-confounding effects in radiomics. Physica Medica. 71. 24–30. 50 indexed citations

14.

Welch, Mattea, Chris McIntosh, Andrea McNiven, et al.. (2020). User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions. Physica Medica. 70. 145–152. 19 indexed citations

15.

Kalendralis, Petros, Alberto Traverso, Zhenwei Shi, et al.. (2019). Multicenter CT phantoms public dataset for radiomics reproducibility tests. Medical Physics. 46(3). 1512–1518. 26 indexed citations

16.

Traverso, Alberto, Mattea Welch, Jessica Weiss, et al.. (2019). Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients. Radiotherapy and Oncology. 143. 88–94. 55 indexed citations

17.

Welch, Mattea, Jessica Weiss, Melania Pintilie, et al.. (2019). Repeatability and reproducibility of MRI-based radiomic features in cervical cancer. Radiotherapy and Oncology. 135. 107–114. 114 indexed citations

18.

Welch, Mattea, Chris McIntosh, Alberto Traverso, et al.. (2019). External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification. Physics in Medicine and Biology. 65(3). 35017–35017. 12 indexed citations

19.

Traverso, Alberto, M. Agnello, Christian Bracco, et al.. (2018). A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. European Radiology. 29(1). 144–152. 26 indexed citations

20.

Toni, Teresa De, et al.. (1993). [Nosologic evaluation of Noonan syndrome and description of nine cases].. PubMed. 45(9). 347–56. 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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