Aldo Marzullo

1.0k total citations · 1 hit paper
23 papers, 568 citations indexed

About

Aldo Marzullo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Aldo Marzullo has authored 23 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Aldo Marzullo's work include Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Aldo Marzullo is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Aldo Marzullo collaborates with scholars based in Italy, France and Belgium. Aldo Marzullo's co-authors include Francesco Calimeri, Elena De Momi, Rong Song, Salih Ertug Ovur, Zhijun Li, Wen Qi, Claudio Stamile, Dominique Sappey‐Marinier, Giorgio Terracina and Françoise Durand‐Dubief and has published in prestigious journals such as Frontiers in Neuroscience, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

Aldo Marzullo

22 papers receiving 557 citations

Hit Papers

align trajectories

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.

Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network

2021 185 citations Wen Qi, Salih Ertug Ovur et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aldo Marzullo Italy	12	143	135	117	110	77	23	568
Guoli Song China	16	108 0.8×	242 1.8×	188 1.6×	97 0.9×	42 0.5×	59	734
Yongwon Cho South Korea	17	465 3.3×	125 0.9×	172 1.5×	160 1.5×	64 0.8×	59	1.0k
Nan Mu China	14	112 0.8×	154 1.1×	51 0.4×	79 0.7×	17 0.2×	64	539
Xinyu Huang China	16	130 0.9×	178 1.3×	120 1.0×	213 1.9×	46 0.6×	61	740
Xiujuan Zheng China	12	95 0.7×	108 0.8×	259 2.2×	63 0.6×	63 0.8×	54	765
Abhijit Das India	16	170 1.2×	235 1.7×	52 0.4×	70 0.6×	7 0.1×	71	735
Babak Karasfi Iran	11	269 1.9×	265 2.0×	213 1.8×	360 3.3×	46 0.6×	25	770
Pantelis Georgiadis Greece	10	152 1.1×	117 0.9×	38 0.3×	80 0.7×	16 0.2×	22	386
Xiaofei Wang China	14	511 3.6×	271 2.0×	188 1.6×	131 1.2×	26 0.3×	46	994
Shuang Yu China	14	437 3.1×	471 3.5×	67 0.6×	173 1.6×	26 0.3×	29	877

Countries citing papers authored by Aldo Marzullo

Since Specialization

Citations

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

Fields of papers citing papers by Aldo Marzullo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aldo Marzullo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Marzullo, Aldo, Victor Savevski, Arianna Dal Buono, et al.. (2025). Collecting and Analyzing IBD Clinical Data for Machine-Learning: Insights from an Italian Cohort. Data. 10(7). 100–100. 1 indexed citations

Levi, Riccardo, Aldo Marzullo, Giovanni Savini, Victor Savevski, & Letterio S. Politi. (2024). An Unet Boosting Training Strategy for the BraTS-ISBI 2024 Goat Challenge. 1–4.

Marzullo, Aldo, Paolo Zaffino, Sara Steffanoni, et al.. (2023). Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients. Bioengineering. 10(3). 285–285. 15 indexed citations

Chen, Ziyang, Aldo Marzullo, Matteo Fontana, et al.. (2023). FRSR: Framework for real-time scene reconstruction in robot-assisted minimally invasive surgery. Computers in Biology and Medicine. 163. 107121–107121. 13 indexed citations

Marzullo, Aldo, Maria Francesca Spadea, Nicoletta Anzalone, et al.. (2023). Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma. International Journal of Computer Assisted Radiology and Surgery. 18(10). 1849–1856. 6 indexed citations

Chen, Ziyang, et al.. (2022). Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation. International Journal of Computer Assisted Radiology and Surgery. 17(12). 2315–2323. 6 indexed citations

Stamile, Claudio, Aldo Marzullo, Frederik Maes, et al.. (2022). Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers in Robotics and AI. 9. 926255–926255. 7 indexed citations

Marzullo, Aldo, et al.. (2022). Lesion segmentation in lung CT scans using unsupervised adversarial learning. Medical & Biological Engineering & Computing. 60(11). 3203–3215. 8 indexed citations

Fan, Ke, et al.. (2022). A Unity-based Da Vinci Robot Simulator for Surgical Training. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 8 indexed citations

10.

Qi, Wen, Salih Ertug Ovur, Zhijun Li, Aldo Marzullo, & Rong Song. (2021). Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network. IEEE Robotics and Automation Letters. 6(3). 6039–6045. 185 indexed citations breakdown →

11.

Marzullo, Aldo, et al.. (2021). Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity. Brain Connectivity. 12(5). 476–488. 11 indexed citations

12.

Marzullo, Aldo, Sara Moccia, Michele Catellani, et al.. (2021). Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 9 indexed citations

13.

Marzullo, Aldo, et al.. (2021). Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis. Computer Methods and Programs in Biomedicine. 206. 106113–106113. 48 indexed citations

14.

Marzullo, Aldo, Sara Moccia, Michele Catellani, Francesco Calimeri, & Elena De Momi. (2020). Towards realistic laparoscopic image generation using image-domain translation. Computer Methods and Programs in Biomedicine. 200. 105834–105834. 23 indexed citations

15.

Marzullo, Aldo, et al.. (2020). Artificial intelligence for brain diseases: A systematic review. APL Bioengineering. 4(4). 41503–41503. 88 indexed citations

16.

Marzullo, Aldo, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks. PubMed. 2019. 2087–2090. 13 indexed citations

17.

Calimeri, Francesco, Francesco Cauteruccio, Aldo Marzullo, et al.. (2019). A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Università Politecnica delle Marche (Università Politecnica delle Marche). 19 indexed citations

18.

Marzullo, Aldo, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks. Frontiers in Neuroscience. 13. 594–594. 49 indexed citations

19.

Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2018). Graph based neural networks for automatic classification of multiple sclerosis clinical courses.. The European Symposium on Artificial Neural Networks. 11 indexed citations

20.

Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2016). Optic Disc Detection Using Fine Tuned Convolutional Neural Networks. 69–75. 15 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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