Roberto Gatta

5.7k total citations
83 papers, 942 citations indexed

About

Roberto Gatta is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Roberto Gatta has authored 83 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 17 papers in Artificial Intelligence. Recurrent topics in Roberto Gatta's work include Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Imaging Techniques and Applications (10 papers) and Business Process Modeling and Analysis (9 papers). Roberto Gatta is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (36 papers), Medical Imaging Techniques and Applications (10 papers) and Business Process Modeling and Analysis (9 papers). Roberto Gatta collaborates with scholars based in Italy, Switzerland and United Kingdom. Roberto Gatta's co-authors include Vincenzo Valentini, Andrea Damiani, N. Dinapoli, Luca Boldrini, Jacopo Lenkowicz, Mauro Vallati, Carlotta Masciocchi, Calogero Casà, Johan van Soest and Giuditta Chiloiro and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Roberto Gatta

73 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Gatta Italy	17	480	233	187	121	120	83	942
Jacopo Lenkowicz Italy	21	916 1.9×	388 1.7×	282 1.5×	147 1.2×	125 1.0×	72	1.3k
Andrea Damiani Italy	16	407 0.8×	289 1.2×	128 0.7×	104 0.9×	84 0.7×	46	708
Carlotta Masciocchi Italy	15	506 1.1×	338 1.5×	154 0.8×	128 1.1×	94 0.8×	47	869
Kerstin Noëlle Vokinger Switzerland	19	340 0.7×	158 0.7×	101 0.5×	86 0.7×	273 2.3×	68	1.6k
Ronilda Lacson United States	23	808 1.7×	227 1.0×	395 2.1×	105 0.9×	452 3.8×	107	1.8k
Matthew B. Morgan United States	13	478 1.0×	84 0.4×	133 0.7×	62 0.5×	179 1.5×	27	799
Daniele La Forgia Italy	24	760 1.6×	205 0.9×	296 1.6×	58 0.5×	597 5.0×	70	1.3k
Andrew Miller Australia	15	806 1.7×	100 0.4×	147 0.8×	61 0.5×	70 0.6×	48	1.3k
Katherine E Henson United Kingdom	14	127 0.3×	448 1.9×	199 1.1×	101 0.8×	49 0.4×	18	1.1k
R Duvauferrier France	18	326 0.7×	122 0.5×	230 1.2×	375 3.1×	83 0.7×	90	1.4k

Countries citing papers authored by Roberto Gatta

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Gatta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Gatta

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

Triumbari, Elizabeth Katherine Anna, David Morland, Roberto Gatta, et al.. (2025). The predictive power of 18F-FDG PET/CT two-lesions radiomics and conventional models in classical Hodgkin’s Lymphoma: a comparative retrospectively-validated study. Annals of Hematology. 104(1). 641–651. 2 indexed citations

De‐Giorgio, Fabio, Davide Cusumano, Roberto Gatta, et al.. (2025). Estimation liver radiomics from postmortem CT: Development of interpretable models for postmortem interval estimation. Physica Medica. 138. 105186–105186.

Gatta, Roberto, et al.. (2025). The Applications of Machine Learning in the Management of Patients Undergoing Stem Cell Transplantation: Are We Ready?. Cancers. 17(3). 395–395. 2 indexed citations

Dondi, Francesco, Roberto Gatta, Cristina Ferrari, et al.. (2025). [18F]FDG PET-Based Radiomics and Machine Learning for the Assessment of Gliomas and Glioblastomas: A Systematic Review. Information. 16(1). 58–58. 1 indexed citations

Maccora, Daria, Michele Guerreri, Francesco Autore, et al.. (2025). The Predictive Role of Baseline 18F-FDG PET/CT Radiomics in Follicular Lymphoma on Watchful Waiting: A Preliminary Study. Diagnostics. 15(4). 432–432.

De‐Giorgio, Fabio, Michele Guerreri, Roberto Gatta, et al.. (2024). Exploring radiomic features of lateral cerebral ventricles in postmortem CT for postmortem interval estimation. International Journal of Legal Medicine. 139(2). 667–677. 3 indexed citations

Solorzano, Claudio Singh, Cristina Festari, Stefania Orini, et al.. (2024). Validation of the Italian consensus recommendations for the biomarker‐based etiological diagnosis of mild cognitive impairment: study design and preliminary data. Alzheimer s & Dementia. 20(S7).

Pizzuto, Daniele Antonio, Michele Guerreri, Luca Boldrini, et al.. (2024). The clinical predictive value of radiomic features from [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007 PET in patients with prostate cancer: a preliminary comparative study. Clinical and Translational Imaging. 12(6). 629–638.

Triumbari, Elizabeth Katherine Anna, Roberto Gatta, Elena Maiolo, et al.. (2023). Baseline 18F-FDG PET/CT Radiomics in Classical Hodgkin’s Lymphoma: The Predictive Role of the Largest and the Hottest Lesions. Diagnostics. 13(8). 1391–1391. 7 indexed citations

10.

De‐Giorgio, Fabio, et al.. (2023). Immunohistochemical expression of HMGB1 and related proteins in the skin as a possible tool for determining post-mortem interval: a preclinical study. Forensic Science Medicine and Pathology. 20(1). 149–165. 6 indexed citations

11.

Dondi, Francesco, Roberto Gatta, Domenico Albano, et al.. (2022). Role of Radiomics Features and Machine Learning for the Histological Classification of Stage I and Stage II NSCLC at [18F]FDG PET/CT: A Comparison between Two PET/CT Scanners. Journal of Clinical Medicine. 12(1). 255–255. 10 indexed citations

12.

Pizzuto, Daniele Antonio, Elizabeth Katherine Anna Triumbari, David Morland, et al.. (2022). 18F-Fluoroethylcholine PET/CT Radiomic Analysis for Newly Diagnosed Prostate Cancer Patients: A Monocentric Study. International Journal of Molecular Sciences. 23(16). 9120–9120. 2 indexed citations

13.

Albano, Domenico, Roberto Gatta, Carlo Rodella, et al.. (2021). Role of 18F-FDG PET/CT Radiomics Features in the Differential Diagnosis of Solitary Pulmonary Nodules: Diagnostic Accuracy and Comparison between Two Different PET/CT Scanners. Journal of Clinical Medicine. 10(21). 5064–5064. 25 indexed citations

14.

Catucci, Francesco, A.R. Alitto, Carlotta Masciocchi, et al.. (2021). Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study. Cancers. 13(2). 175–175. 10 indexed citations

15.

Placidi, Lorenzo, Luca Boldrini, Jacopo Lenkowicz, et al.. (2021). Process mining to optimize palliative patient flow in a high-volume radiotherapy department. Technical Innovations & Patient Support in Radiation Oncology. 17. 32–39. 9 indexed citations

16.

Chiesa, Silvia, Barbara Tolu, Luca Capone, et al.. (2020). A New Standardized Data Collection System for Brain Stereotactic External Radiotherapy: The PRE.M.I.S.E Project. Future Science OA. 6(7). FSO596–FSO596. 3 indexed citations

17.

Pedretti, Sara, Laura Masini, Luca Triggiani, et al.. (2019). Hypofractionated radiation therapy versus chemotherapy with temozolomide in patients affected by RPA class V and VI glioblastoma: a randomized phase II trial. Journal of Neuro-Oncology. 143(3). 447–455. 5 indexed citations

18.

Bari, Berardino De, Rosario Mazzola, Roberto Gatta, et al.. (2019). (68Ga)-PSMA-PET/CT for the detection of postoperative prostate cancer recurrence: Possible implications on treatment volumes for radiation therapy. Cancer/Radiothérapie. 23(3). 194–200. 14 indexed citations

19.

Dinapoli, N., Johan van Soest, Carlotta Masciocchi, et al.. (2016). Radiomics in Magnetic Resonance Imaging for Prognosis in Patients With Rectal Cancer: An Independent External Validation. International Journal of Radiation Oncology*Biology*Physics. 96(2). E180–E181. 3 indexed citations

20.

Gatta, Roberto, Mauro Vallati, Berardino De Bari, & Mahmut Özşahin. (2014). The impact of different training sets on medical documents classification. Huddersfield Research Portal (University of Huddersfield). 1213. 1–5. 3 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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