A. Monaco

6.8k total citations
92 papers, 1.4k citations indexed

About

A. Monaco is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. Monaco has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 17 papers in Molecular Biology and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. Monaco's work include Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Complex Network Analysis Techniques (8 papers). A. Monaco is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Complex Network Analysis Techniques (8 papers). A. Monaco collaborates with scholars based in Italy, United States and Russia. A. Monaco's co-authors include Nicola Amoroso, R. Bellotti, Sabina Tangaro, Angela Lombardi, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Ester Pantaleo, T. Maggipinto and Roberto Cazzolla Gatti and has published in prestigious journals such as JAMA, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

A. Monaco

83 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Monaco Italy 21 272 253 238 176 169 92 1.4k
Nicola Amoroso Italy 25 356 1.3× 368 1.5× 344 1.4× 244 1.4× 257 1.5× 118 1.9k
Angela Lombardi Italy 18 225 0.8× 201 0.8× 169 0.7× 73 0.4× 103 0.6× 48 766
Babak Shahbaba United States 21 277 1.0× 216 0.9× 74 0.3× 203 1.2× 70 0.4× 62 1.8k
Vincent Barra France 24 169 0.6× 166 0.7× 214 0.9× 167 0.9× 74 0.4× 85 1.8k
Sabina Tangaro Italy 27 723 2.7× 365 1.4× 855 3.6× 309 1.8× 248 1.5× 145 2.5k
Alessia Sarica Italy 17 149 0.5× 252 1.0× 264 1.1× 128 0.7× 227 1.3× 60 1.2k
Xueqin Wang China 29 168 0.6× 150 0.6× 111 0.5× 677 3.8× 67 0.4× 180 2.7k
Minjeong Kim United States 30 348 1.3× 605 2.4× 621 2.6× 202 1.1× 326 1.9× 129 2.6k
Jian Kang United States 20 162 0.6× 574 2.3× 238 1.0× 179 1.0× 178 1.1× 123 1.9k
Fabian Pedregosa France 6 220 0.8× 939 3.7× 365 1.5× 211 1.2× 115 0.7× 8 2.0k

Countries citing papers authored by A. Monaco

Since Specialization
Citations

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

Fields of papers citing papers by A. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Monaco

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

All Works

20 of 20 papers shown
1.
Monaco, A., Loredana Bellantuono, Roberto Cazzolla Gatti, et al.. (2025). Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence. Environmental Pollution. 367. 125620–125620. 2 indexed citations
2.
Monaco, A., et al.. (2025). Machine Learning for Quality Diagnostics: Insights into Consumer Electronics Evaluation. Electronics. 14(5). 939–939.
3.
Pantaleo, Ester, Vincenzo Giannico, Salvatore Camposeo, et al.. (2025). Automated olive grove classification and tree counting in very high resolution aerial imagery using deep learning. Smart Agricultural Technology. 12. 101551–101551.
4.
Romano, Donato, Domenico Diacono, A. Monaco, et al.. (2024). Personalized identification of autism-related bacteria in the gut microbiome using explainable artificial intelligence. iScience. 27(9). 110709–110709. 13 indexed citations
5.
Monaco, A., Nicola Amoroso, Loredana Bellantuono, et al.. (2024). Machine learning and XAI approaches highlight the strong connection between $$O_3$$ and $$NO_2$$ pollutants and Alzheimer’s disease. Scientific Reports. 14(1). 5385–5385. 8 indexed citations
6.
Bellantuono, Loredana, R. Tommasi, Ester Pantaleo, et al.. (2023). An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis. Scientific Reports. 13(1). 16590–16590. 20 indexed citations
7.
Pergola, Giulio, Rahul Bharadwaj, Eugenia Radulescu, et al.. (2023). Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions. Science Advances. 9(15). eade2812–eade2812. 10 indexed citations
8.
Loiotile, Annamaria Demarinis, A. Monaco, Sabina Tangaro, et al.. (2023). Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 75–86.
9.
Amoroso, Nicola, et al.. (2023). An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease. Frontiers in Aging Neuroscience. 15. 1238065–1238065. 16 indexed citations
10.
Scattarella, Francesco, Domenico Diacono, A. Monaco, et al.. (2023). Deep learning approach for denoising low-SNR correlation plenoptic images. Scientific Reports. 13(1). 19645–19645. 6 indexed citations
11.
Bellantuono, Loredana, et al.. (2023). Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence. Scientific Reports. 13(1). 839–839. 8 indexed citations
12.
Elia, Mario, Marina D’Este, Vincenzo Giannico, et al.. (2022). Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe. Scientific Reports. 12(1). 16349–16349. 49 indexed citations
13.
Musso, Pasquale, Gabrielle Coppola, Ester Pantaleo, et al.. (2022). Psychological counseling in the Italian academic context: Expected needs, activities, and target population in a large sample of students. PLoS ONE. 17(4). e0266895–e0266895. 3 indexed citations
14.
Amoroso, Nicola, Loredana Bellantuono, Saverio Pascazio, A. Monaco, & R. Bellotti. (2021). Characterization of real-world networks through quantum potentials. PLoS ONE. 16(7). e0254384–e0254384. 5 indexed citations
15.
Gatti, Roberto Cazzolla, Alena Velichevskaya, Andrea Tateo, Nicola Amoroso, & A. Monaco. (2020). Machine learning reveals that prolonged exposure to air pollution is associated with SARS-CoV-2 mortality and infectivity in Italy. Environmental Pollution. 267. 115471–115471. 48 indexed citations
16.
Lombardi, Angela, Cataldo Guaragnella, Nicola Amoroso, et al.. (2019). Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes. NeuroImage. 195. 150–164. 20 indexed citations
17.
Amoroso, Nicola, Marianna La Rocca, A. Monaco, R. Bellotti, & Sabina Tangaro. (2018). Complex networks reveal early MRI markers of Parkinson’s disease. Medical Image Analysis. 48. 12–24. 107 indexed citations
18.
Amoroso, Nicola, Marianna La Rocca, R. Bellotti, et al.. (2018). Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm. BioMedical Engineering OnLine. 17(1). 6–6. 24 indexed citations
19.
Maggipinto, T., R. Bellotti, Nicola Amoroso, et al.. (2017). DTI measurements for Alzheimer’s classification. Physics in Medicine and Biology. 62(6). 2361–2375. 50 indexed citations
20.
Shukla, Arvind Kumar, Marianne Sullivan, Robin Wood, et al.. (2004). Vaccination Coverage Among Children Entering School—United States, 2003-04 School Year. JAMA. 292(23). 2830–2830. 2 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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