A. Monaco
Impact in
- Health Informatics top 2%
- Neurology top 5%
- Brain Tumor Detection and Classification
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Functional Brain Connectivity Studies 20
-
- Advanced Neuroimaging Techniques and Applications 14
- Co-authors
- Nicola Amoroso (80 shared papers)R. Bellotti (81 shared papers)Sabina Tangaro (68 shared papers)Angela Lombardi (25 shared papers)Marianna La Rocca (17 shared papers)Loredana Bellantuono (36 shared papers)Domenico Diacono (20 shared papers)Ester Pantaleo (28 shared papers)
- Journals
- Scientific Reports (10 papers)Applied Sciences (8 papers)PLoS ONE (7 papers)Remote Sensing (4 papers)Frontiers in Aging Neuroscience (3 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
A. Monaco
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 173
- Health Informatics 56
- Neurology 157
- Health Information Management 64
- Cognitive Neuroscience 264
- Psychiatry and Mental health 156
Countries citing papers authored by A. Monaco
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
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-authors
The 25 scholars most cited alongside A. Monaco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2017 | 102 | |
| 3 | 2021 | 59 | |
| 4 | 2017 | 56 | |
| 5 | 2020 | 55 | |
| 6 | 2022 | 54 | |
| 7 | 2020 | 51 | |
| 8 | 2019 | 49 | |
| 9 | 2022 | 47 | |
| 10 | 2015 | 45 | |
| 11 | 2021 | 40 | |
| 12 | 2020 | 39 | |
| 13 | 2022 | 35 | |
| 14 | 2022 | 32 | |
| 15 | 2018 | 31 | |
| 16 | 2020 | 27 | |
| 17 | 2021 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2020 | 25 | |
| 20 | 2023 | 24 |
About A. Monaco
A. Monaco is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Complex Network Analysis Techniques (10 papers), Bioinformatics and Genomic Networks (9 papers), Air Quality and Health Impacts (7 papers), Gene expression and cancer classification (6 papers), Dementia and Cognitive Impairment Research (6 papers) and Health, Environment, Cognitive Aging (5 papers). The work is most often cited by research in Health Informatics (56 citations), Neurology (157 citations), Health Information Management (64 citations), Cognitive Neuroscience (264 citations) and Psychiatry and Mental health (156 citations). A. Monaco has collaborated with scholars based in Italy, United States and Russia. Frequent 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. Their work appears in journals such as Scientific Reports, Applied Sciences, PLoS ONE, Remote Sensing and Frontiers in Aging Neuroscience.
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.