Chiara Gianoli

563 total citations
53 papers, 395 citations indexed

About

Chiara Gianoli is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chiara Gianoli has authored 53 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiation, 38 papers in Pulmonary and Respiratory Medicine and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chiara Gianoli's work include Radiation Therapy and Dosimetry (38 papers), Medical Imaging Techniques and Applications (29 papers) and Advanced Radiotherapy Techniques (27 papers). Chiara Gianoli is often cited by papers focused on Radiation Therapy and Dosimetry (38 papers), Medical Imaging Techniques and Applications (29 papers) and Advanced Radiotherapy Techniques (27 papers). Chiara Gianoli collaborates with scholars based in Germany, Italy and United States. Chiara Gianoli's co-authors include Marco Riboldi, Katia Parodi, G. Baroni, Chiara Paganelli, Claus Belka, Paul Summers, Thomas Tessonnier, Massimo Bellomi, Roberto Orecchia and Florian Kamp and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Review of Scientific Instruments.

In The Last Decade

Chiara Gianoli

51 papers receiving 395 citations

Peers

Chiara Gianoli

RADIA

PRM

RNMI

EEE

Valentina Giacometti United States

Mitra Safavi‐Naeini Australia

Peter Pemler Switzerland

B. Murray Canada

M. Zani Italy

Marie Vidal France

Shoko Kinouchi Japan

Lucian Hotoiu Belgium

Charles‐Antoine Collins‐Fekete United Kingdom

F. Cassol-Brunner France

Valentina Giacometti United States

Chiara Gianoli

398 ×1.2

RADIA

357 ×1.3

PRM

252 ×1.2

RNMI

108 ×2.2

28 ×0.7

EEE

Citations per year, relative to Chiara Gianoli Chiara Gianoli (= 1×) peers Valentina Giacometti

Countries citing papers authored by Chiara Gianoli

Since Specialization

Citations

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

Fields of papers citing papers by Chiara Gianoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Gianoli

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Gianoli. A scholar is included among the top collaborators of Chiara Gianoli 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 Chiara Gianoli. Chiara Gianoli 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

Bortfeldt, J., Chiara Gianoli, Jens Hartmann, et al.. (2023). Development of integration mode proton imaging with a single CMOS detector for a small animal irradiation platform. Frontiers in Physics. 10. 4 indexed citations

Gianoli, Chiara, Elisabetta De Bernardi, & Katia Parodi. (2023). “Under the hood”: artificial intelligence in personalized radiotherapy. BJR|Open. 6(1). tzae017–tzae017. 3 indexed citations

Nitta, Munetaka, Chiara Gianoli, Marco Pinto, et al.. (2023). Design study of a novel geometrical arrangement for an in-beam small animal positron emission tomography scanner. Physics in Medicine and Biology. 68(23). 235005–235005. 3 indexed citations

Gianoli, Chiara, et al.. (2022). Model-based and Data-driven Calibration of the X-ray CT Image based on Proton Radiographies. 1–3.

Würl, Matthias, et al.. (2020). A Monte Carlo feasibility study on quantitative laser-driven proton radiography. Zeitschrift für Medizinische Physik. 32(1). 109–119. 4 indexed citations

Kopp, Benedikt, et al.. (2020). Experimental comparison of clinically used ion beams for imaging applications using a range telescope. Physics in Medicine and Biology. 65(15). 155004–155004. 7 indexed citations

Gianoli, Chiara, et al.. (2020). Patient-specific CT calibration based on ion radiography for different detector configurations in ¹H, ⁴He and ¹²C ion pencil beam scanning. Physics in Medicine and Biology. 65(24). 245014–245014. 6 indexed citations

Paganelli, Chiara, Chiara Gianoli, Paul Summers, et al.. (2019). A clustering approach to 4D MRI retrospective sorting for the investigation of different surrogates. Physica Medica. 58. 107–113. 16 indexed citations

Gianoli, Chiara, Benedikt Kopp, Thomas Tessonnier, et al.. (2017). Comparative Monte Carlo study on the performance of integration- and list-mode detector configurations for carbon ion computed tomography. Physics in Medicine and Biology. 62(3). 1096–1112. 23 indexed citations

10.

Paganelli, Chiara, Paul Summers, Chiara Gianoli, et al.. (2017). A tool for validating MRI-guided strategies: a digital breathing CT/MRI phantom of the abdominal site. Medical & Biological Engineering & Computing. 55(11). 2001–2014. 34 indexed citations

11.

Bernardi, Elisabetta De, Katia Parodi, R. Ricotti, et al.. (2016). Tuning of a 4D ML reconstruction strategy for treatment verification in ion beam radiotherapy. Radiotherapy and Oncology. 118. S81–S82. 1 indexed citations

12.

Gianoli, Chiara, G. Dedes, Guillaume Landry, et al.. (2016). Spatial Resolution Enhancement in Integration-Mode Detectors for Proton Radiography and Tomography. Radiotherapy and Oncology. 118. S46–S47. 7 indexed citations

13.

Gianoli, Chiara, Elisabetta De Bernardi, Christopher Kurz, et al.. (2016). Geometrical interpretation of TOF PET raw data in commercial PET-CT scanner for SNR optimization. Radiotherapy and Oncology. 118. S46–S46. 1 indexed citations

14.

Bernardi, Elisabetta De, R. Ricotti, Marco Riboldi, et al.. (2016). 4D ML reconstruction as a tool for volumetric PET‐based treatment verification in ion beam radiotherapy. Medical Physics. 43(2). 710–726. 2 indexed citations

15.

Gianoli, Chiara, Marco Riboldi, Giulia Fontana, et al.. (2015). A sinogram warping strategy for pre-reconstruction 4D PET optimization. Medical & Biological Engineering & Computing. 54(2-3). 535–546. 9 indexed citations

16.

Gianoli, Chiara, Julia Bauer, Marco Riboldi, et al.. (2014). Regional MLEM reconstruction strategy for PET-based treatment verification in ion beam radiotherapy. Physics in Medicine and Biology. 59(22). 6979–6995. 6 indexed citations

17.

Gianoli, Chiara, Elisabetta De Bernardi, Marco Riboldi, et al.. (2012). PET-based dosimetry in particle therapy: assessing the feasibility of regional MLEM reconstruction as a quantification tool. BOA (University of Milano-Bicocca). 1 indexed citations

18.

Gianoli, Chiara, Giulia Fontana, Marco Riboldi, Carlo Cavedon, & G. Baroni. (2011). Enhanced 4D PET Optimization Based on 4D CT Motion Modeling. Radiotherapy and Oncology. 99. 1 indexed citations

19.

Gianoli, Chiara, Marco Riboldi, Maria Francesca Spadea, et al.. (2011). A multiple points method for 4D CT image sorting. Medical Physics. 38(2). 656–667. 39 indexed citations

20.

Bernardi, Elisabetta De, et al.. (2010). ML Segmentation Strategies for Object Interference Compensation in FDG-PET Lesion Quantification. Methods of Information in Medicine. 49(5). 537–541. 5 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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