Andrea Duggento

2.6k total citations · 2 hit papers
65 papers, 1.6k citations indexed

About

Andrea Duggento is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Andrea Duggento has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Andrea Duggento's work include Functional Brain Connectivity Studies (24 papers), Neural dynamics and brain function (17 papers) and Heart Rate Variability and Autonomic Control (15 papers). Andrea Duggento is often cited by papers focused on Functional Brain Connectivity Studies (24 papers), Neural dynamics and brain function (17 papers) and Heart Rate Variability and Autonomic Control (15 papers). Andrea Duggento collaborates with scholars based in Italy, United States and United Kingdom. Andrea Duggento's co-authors include Nicola Toschi, Luca Passamonti, Maria Guerrisi, Píetro Lió, Allegra Conti, S Spasov, P. V. E. McClintock, Iole Indovina, Aneta Stefanovska and Tomislav Stankovski and has published in prestigious journals such as Physical Review Letters, NeuroImage and Scientific Reports.

In The Last Decade

Andrea Duggento

64 papers receiving 1.6k citations

Hit Papers

2 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.

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

2019 281 citations S Spasov, Luca Passamonti et al. NeuroImage profile →
Radiomics in breast cancer classification and prediction

2020 256 citations Allegra Conti, Andrea Duggento et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Duggento Italy	20	564	530	352	282	231	65	1.6k
Parisa Moridian Australia	17	745 1.3×	281 0.5×	301 0.9×	186 0.7×	191 0.8×	19	1.4k
Navid Ghassemi Iran	16	698 1.2×	333 0.6×	422 1.2×	191 0.7×	383 1.7×	23	1.5k
Pieter Kubben Netherlands	23	785 1.4×	290 0.5×	156 0.4×	154 0.5×	143 0.6×	81	2.1k
Mohamed Akil France	30	448 0.8×	601 1.1×	124 0.4×	159 0.6×	287 1.2×	114	3.4k
Joel E.W. Koh Singapore	29	1.2k 2.0×	877 1.7×	399 1.1×	909 3.2×	190 0.8×	61	2.9k
Walter Hugo Lopez Pinaya United Kingdom	19	743 1.3×	478 0.9×	326 0.9×	51 0.2×	194 0.8×	43	1.5k
Hui Wen Loh Singapore	17	485 0.9×	179 0.3×	304 0.9×	247 0.9×	81 0.4×	21	1.4k
Jonas Richiardi Switzerland	23	1.3k 2.4×	710 1.3×	254 0.7×	90 0.3×	113 0.5×	78	2.5k
G. Swapna India	13	696 1.2×	200 0.4×	370 1.1×	453 1.6×	64 0.3×	16	1.5k
Hugo J. Kuijf Netherlands	32	683 1.2×	1.2k 2.2×	457 1.3×	183 0.6×	662 2.9×	125	3.7k

Countries citing papers authored by Andrea Duggento

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Duggento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Duggento

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

Duggento, Andrea, et al.. (2023). Contrastive learning for unsupervised medical image clustering and reconstruction. 4. 2 indexed citations

Duggento, Andrea, et al.. (2023). Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks. 171. 215–228. 4 indexed citations

Spasov, S, et al.. (2023). VAESim: A probabilistic approach for self-supervised prototype discovery. Image and Vision Computing. 137. 104746–104746. 5 indexed citations

Toschi, Nicola, Andrea Duggento, Riccardo Barbieri, et al.. (2023). Causal influence of brainstem response to transcutaneous vagus nerve stimulation on cardiovagal outflow. Brain stimulation. 16(6). 1557–1565. 7 indexed citations

Bianco, Maria Giovanna, Andrea Duggento, Salvatore Nigro, et al.. (2023). Heritability of human “directed” functional connectome. Brain and Behavior. 13(5). e2839–e2839. 2 indexed citations

Ellingsen, Dan‐Mikael, Andrea Duggento, Kylie Isenburg, et al.. (2022). Patient–clinician brain concordance underlies causal dynamics in nonverbal communication and negative affective expressivity. Translational Psychiatry. 12(1). 44–44. 17 indexed citations

Duggento, Andrea, Maria Guerrisi, & Nicola Toschi. (2021). Echo state network models for nonlinear Granger causality. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2212). 20200256–20200256. 14 indexed citations

Valenza, Gaetano, Luca Passamonti, Andrea Duggento, Nicola Toschi, & Riccardo Barbieri. (2020). Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations. Journal of The Royal Society Interface. 17(164). 20190878–20190878. 49 indexed citations

Duggento, Andrea, Allegra Conti, Maria Guerrisi, & Nicola Toschi. (2020). Detection of abnormal phonocardiograms through the Mel-frequency ceptrum and convolutional neural networks. Cineca Institutional Research Information System (Tor Vergata University). 2 indexed citations

10.

Valenza, Gaetano, Roberta Sclocco, Andrea Duggento, et al.. (2019). The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow. NeuroImage. 197. 383–390. 101 indexed citations

11.

Scimeca, Manuel, Nicoletta Urbano, Rita Bonfiglio, et al.. (2019). Novel insights into breast cancer progression and metastasis: A multidisciplinary opportunity to transition from biology to clinical oncology. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1872(1). 138–148. 34 indexed citations

12.

Duggento, Andrea, Nicola Toschi, Antonio Pietroiusti, et al.. (2019). A novel approach for geographical risk mapping of morbidity and mortality rates: the case of Val D’Agri, Italy. Scientific Reports. 9(1). 10348–10348. 2 indexed citations

13.

Duggento, Andrea, Marco Aiello, Carlo Cavaliere, et al.. (2019). An Ad Hoc Random Initialization Deep Neural Network Architecture for Discriminating Malignant Breast Cancer Lesions in Mammographic Images. Contrast Media & Molecular Imaging. 2019. 1–9. 20 indexed citations

14.

Duggento, Andrea, Luca Passamonti, Gaetano Valenza, et al.. (2018). Multivariate Granger causality unveils directed parietal to prefrontal cortex connectivity during task-free MRI. Scientific Reports. 8(1). 5571–5571. 31 indexed citations

15.

Valenza, Gaetano, Andrea Romigi, Luca Citi, et al.. (2016). Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. PubMed. 2016. 985–988. 4 indexed citations

16.

Toschi, Nicola, Jieun Kim, Roberta Sclocco, et al.. (2016). Motion sickness increases functional connectivity between visual motion and nausea-associated brain regions. Autonomic Neuroscience. 202. 108–113. 36 indexed citations

17.

Giannelli, Marco, Francesco Garaci, Roberto Floris, et al.. (2016). Differences in Gaussian diffusion tensor imaging and non-Gaussian diffusion kurtosis imaging model-based estimates of diffusion tensor invariants in the human brain. Medical Physics. 43(5). 2464–2475. 30 indexed citations

18.

Strigari, Lidia, A. Attili, Andrea Duggento, et al.. (2015). Quantitative analysis of basal and interim PET/CT images for predicting tumor recurrence in patients with Hodgkin’s lymphoma. Nuclear Medicine Communications. 37(1). 16–22. 7 indexed citations

19.

Duggento, Andrea, Tomislav Stankovski, P. V. E. McClintock, & Aneta Stefanovska. (2012). Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillators. Physical Review E. 86(6). 61126–61126. 41 indexed citations

20.

Duggento, Andrea, D. G. Luchinsky, Vadim Smelyanskiy, & P. V. E. McClintock. (2009). Inferential framework for non-stationary dynamics: theory and applications. Journal of Statistical Mechanics Theory and Experiment. 2009(1). P01025–P01025. 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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