Ronrick Da‐ano

816 total citations
9 papers, 490 citations indexed

About

Ronrick Da‐ano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ronrick Da‐ano has authored 9 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Ronrick Da‐ano's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (2 papers). Ronrick Da‐ano is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Lung Cancer Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (2 papers). Ronrick Da‐ano collaborates with scholars based in France and Canada. Ronrick Da‐ano's co-authors include Dimitris Visvikis, Mathieu Hatt, Ulrike Schick, Olivier Pradier, Ingrid Masson, François Lucia, R. de Crevoisier, Gurvan Dissaux, Caroline Rousseau and Caroline Reinhold and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physics in Medicine and Biology.

In The Last Decade

Ronrick Da‐ano

9 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ronrick Da‐ano France	7	460	194	163	76	73	9	490
Elisabeth Pfaehler Netherlands	15	649 1.4×	252 1.3×	186 1.1×	67 0.9×	105 1.4×	31	721
Diem Vuong Switzerland	13	309 0.7×	153 0.8×	95 0.6×	45 0.6×	113 1.5×	24	385
Rachel Ger United States	15	558 1.2×	214 1.1×	273 1.7×	81 1.1×	94 1.3×	44	641
M.V. Villas Spain	5	436 0.9×	179 0.9×	197 1.2×	68 0.9×	82 1.1×	6	503
Dmitry Cherezov United States	8	515 1.1×	361 1.9×	170 1.0×	100 1.3×	60 0.8×	13	547
Giacomo Feliciani Italy	10	343 0.7×	183 0.9×	128 0.8×	44 0.6×	87 1.2×	32	455
Christian Hollensen Denmark	4	325 0.7×	143 0.7×	120 0.7×	42 0.6×	50 0.7×	7	378
Willem Grootjans Netherlands	11	325 0.7×	195 1.0×	93 0.6×	19 0.3×	63 0.9×	39	452
Ivan Zhovannik Netherlands	8	272 0.6×	88 0.5×	124 0.8×	69 0.9×	49 0.7×	15	310

Countries citing papers authored by Ronrick Da‐ano

Since Specialization

Citations

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

Fields of papers citing papers by Ronrick Da‐ano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronrick Da‐ano. 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 Ronrick Da‐ano. The network helps show where Ronrick Da‐ano may publish in the future.

Co-authorship network of co-authors of Ronrick Da‐ano

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

All Works

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9 of 9 papers shown

Da‐ano, Ronrick, et al.. (2024). Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations

Da‐ano, Ronrick, et al.. (2024). Automated PD-L1 status prediction in lung cancer with multi-modal PET/CT fusion. Scientific Reports. 14(1). 16720–16720. 6 indexed citations

Da‐ano, Ronrick, François Lucia, Ingrid Masson, et al.. (2021). A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets. PLoS ONE. 16(7). e0253653–e0253653. 29 indexed citations

Badic, Bogdan, Ronrick Da‐ano, Vincent Jaouen, et al.. (2021). Prediction of recurrence after surgery in colorectal cancer patients using radiomics from diagnostic contrast-enhanced computed tomography: a two-center study. European Radiology. 32(1). 405–414. 17 indexed citations

Masson, Ingrid, Ronrick Da‐ano, François Lucia, et al.. (2021). Statistical harmonization can improve the development of a multicenter CT‐based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers. Medical Physics. 48(7). 4099–4109. 17 indexed citations

Bourbonne, Vincent, Ronrick Da‐ano, Vincent Jaouen, et al.. (2020). Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer. Radiotherapy and Oncology. 155. 144–150. 45 indexed citations

Da‐ano, Ronrick, Dimitris Visvikis, & Mathieu Hatt. (2020). Harmonization strategies for multicenter radiomics investigations. Physics in Medicine and Biology. 65(24). 24TR02–24TR02. 104 indexed citations

Da‐ano, Ronrick, Ingrid Masson, François Lucia, et al.. (2020). Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies. Scientific Reports. 10(1). 10248–10248. 134 indexed citations

Dissaux, Gurvan, Dimitris Visvikis, Ronrick Da‐ano, et al.. (2019). Pretreatment ¹⁸F-FDG PET/CT Radiomics Predict Local Recurrence in Patients Treated with Stereotactic Body Radiotherapy for Early-Stage Non–Small Cell Lung Cancer: A Multicentric Study. Journal of Nuclear Medicine. 61(6). 814–820. 137 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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