Daniela Schenone

500 total citations
13 papers, 319 citations indexed

About

Daniela Schenone is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniela Schenone has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Hematology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniela Schenone's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Image and Signal Denoising Methods (2 papers). Daniela Schenone is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Image and Signal Denoising Methods (2 papers). Daniela Schenone collaborates with scholars based in Italy, Australia and Spain. Daniela Schenone's co-authors include Michele Piana, Alberto Tagliafico, Nehmat Houssami, Anna Maria Massone, Lucia Romani, Costanza Conti, Alida Dominietto, Cristina Campi, Liliana Belgioia and Federica Rossi and has published in prestigious journals such as Pattern Recognition, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Daniela Schenone

11 papers receiving 314 citations

Peers

Daniela Schenone

RNMI

PRM

CVPR

Darrin C. Edwards United States

Nick Weiss Germany

Jim Diamond United Kingdom

Shulong Li China

Laia Valls United States

Kazuaki Nakane Japan

Wei-Chih Shen Taiwan

Daniel Smutek Czechia

Ying Fang China

Turid Torheim United Kingdom

Darrin C. Edwards United States

Daniela Schenone

155 ×0.8

RNMI

231 ×2.4

62 ×1.3

PRM

36 ×0.9

59 ×1.5

CVPR

Citations per year, relative to Daniela Schenone Daniela Schenone (= 1×) peers Darrin C. Edwards

Countries citing papers authored by Daniela Schenone

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Schenone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Schenone

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

All Works

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13 of 13 papers shown

Aràndiga, Francesc, Rosa Donat, & Daniela Schenone. (2023). A 2D prediction step using multiquadric local interpolation with adaptive parameter estimation for image compression. Applied Mathematics and Computation. 457. 128164–128164.

Bauckneht, Matteo, Alberto Miceli, Maria Isabella Donegani, et al.. (2022). Opportunistic skeletal muscle metrics as prognostic tools in metastatic castration-resistant prostate cancer patients candidates to receive Radium-223. Annals of Nuclear Medicine. 36(4). 373–383. 7 indexed citations

Tagliafico, Alberto, Alida Dominietto, Liliana Belgioia, et al.. (2021). Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity?. Medicina. 57(2). 94–94. 9 indexed citations

Schenone, Daniela, Alida Dominietto, Cristina Campi, et al.. (2021). Radiomics and Artificial Intelligence for Outcome Prediction in Multiple Myeloma Patients Undergoing Autologous Transplantation: A Feasibility Study with CT Data. Diagnostics. 11(10). 1759–1759. 12 indexed citations

Marini, Cecilia, Matteo Bauckneht, Anna Borra, et al.. (2021). Myocardial Metabolic Response Predicts Chemotherapy Curative Potential on Hodgkin Lymphoma: A Proof-of-Concept Study. Biomedicines. 9(8). 971–971. 1 indexed citations

Tagliafico, Alberto, Liliana Belgioia, Alessandro Bonsignore, et al.. (2020). Development and definition of a simplified scoring system in patients with multiple myeloma undergoing stem cells transplantation on standard computed tomography: myeloma spine and bone damage score (MSBDS). Cancer Imaging. 20(1). 31–31. 7 indexed citations

Schenone, Daniela, Gianmario Sambuceti, Anna Maria Massone, et al.. (2020). Prognostic power of the human psoas muscles FDG metabolism in amyotrophic lateral sclerosis. CINECA IRIS Institutial Research Information System (University of Genoa). 67–67.

Schenone, Daniela, Michele Cea, Federica Rossi, et al.. (2020). Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma. Padua Research Archive (University of Padova). 152–152. 3 indexed citations

Tagliafico, Alberto, et al.. (2019). Overview of radiomics in breast cancer diagnosis and prognostication. The Breast. 49. 74–80. 203 indexed citations

10.

Romani, Lucia, et al.. (2018). Edge detection methods based on RBF interpolation. Journal of Computational and Applied Mathematics. 349. 532–547. 51 indexed citations

11.

Schenone, Daniela, et al.. (2018). Fee Payment System for Nursing Performance: An operational proposal through the use of I.C.A. (Indexes of Complexity of Assistance) methodology.. PubMed. 89(6-S). 87–96. 3 indexed citations

12.

Conti, Costanza, Lucia Romani, & Daniela Schenone. (2017). Semi-automatic spline fitting of planar curvilinear profiles in digital images using the Hough transform. Pattern Recognition. 74. 64–76. 22 indexed citations

13.

Schenone, H, et al.. (1980). [Treatment of Taenia saginata infections in adults with a single oral dose of praziquantel (author's transl)].. PubMed. 34(3-4). 82–3. 1 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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