Filippo Molinari
Impact in
- Health Informatics top 0.2%
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
Papers in
-
- Cerebrovascular and Carotid Artery Diseases 70
-
- Optical Imaging and Spectroscopy Techniques 21
- Radiomics and Machine Learning in Medical Imaging 21
- Retinal Imaging and Analysis 17
- Co-authors
- U. Rajendra Acharya (111 shared papers)Jasjit S. Suri (62 shared papers)Massimo Salvi (66 shared papers)Kristen M. Meiburger (54 shared papers)Guang Zeng (23 shared papers)S. Vinitha Sree (18 shared papers)Prabal Datta Barua (27 shared papers)Nicola Michielli (11 shared papers)
- Journals
- Computers in Biology and Medicine (19 papers)Computer Methods and Programs in Biomedicine (13 papers)Ultrasound in Medicine & Biology (9 papers)IEEE Access (9 papers)Journal of Ultrasound in Medicine (7 papers)
- Partner nations
- ItalySingaporeUnited States
In The Last Decade
Filippo Molinari
295 papers receiving 8.2k citations
Filippo Molinari's Hit Papers
Peers
Comparison fields: 5 of 190
- Health Informatics 310
- Radiology, Nuclear Medicine and Imaging 2.7k
- Cardiology and Cardiovascular Medicine 2.1k
- Pulmonary and Respiratory Medicine 2.0k
- Cognitive Neuroscience 1.1k
Countries citing papers authored by Filippo Molinari
This map shows the geographic impact of Filippo Molinari'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 Filippo Molinari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Molinari more than expected).
Fields of papers citing papers by Filippo Molinari
This network shows the impact of papers produced by Filippo Molinari. 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 Filippo Molinari. The network helps show where Filippo Molinari may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Molinari, 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 311 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automated diagnosis of epileptic EEG using entropies Hit paper breakdown → | 2011 | 468 |
| 2 | Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022) Hit paper breakdown → | 2022 | 438 |
| 3 | Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals Hit paper breakdown → | 2019 | 289 |
| 4 | The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis Hit paper breakdown → | 2020 | 242 |
| 5 | 2012 | 199 | |
| 6 | 2010 | 166 | |
| 7 | 2008 | 161 | |
| 8 | 2014 | 155 | |
| 9 | 2012 | 125 | |
| 10 | 2007 | 117 | |
| 11 | 2011 | 116 | |
| 12 | 2011 | 109 | |
| 13 | 2012 | 107 | |
| 14 | 2011 | 104 | |
| 15 | 2010 | 101 | |
| 16 | 2011 | 100 | |
| 17 | 2015 | 98 | |
| 18 | Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023) Hit paper breakdown → | 2023 | 97 |
| 19 | 2022 | 94 | |
| 20 | 2015 | 93 |
About Filippo Molinari
Filippo Molinari is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Artificial Intelligence, having authored 311 papers that have together received 8.5k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (73 papers), Cerebrovascular and Carotid Artery Diseases (70 papers), AI in cancer detection (39 papers), Optical Imaging and Spectroscopy Techniques (21 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Retinal Imaging and Analysis (17 papers), Non-Invasive Vital Sign Monitoring (17 papers) and Acute Ischemic Stroke Management (14 papers). The work is most often cited by research in Health Informatics (310 citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Cardiology and Cardiovascular Medicine (2.1k citations), Pulmonary and Respiratory Medicine (2.0k citations) and Cognitive Neuroscience (1.1k citations). Filippo Molinari has collaborated with scholars based in Italy, Singapore and United States. Frequent co-authors include U. Rajendra Acharya, Jasjit S. Suri, Massimo Salvi, Kristen M. Meiburger, Guang Zeng, S. Vinitha Sree, Prabal Datta Barua, Nicola Michielli, Hui Wen Loh and Oliver Faust. Their work appears in journals such as Computers in Biology and Medicine, Computer Methods and Programs in Biomedicine, Ultrasound in Medicine & Biology, IEEE Access and Journal of Ultrasound in Medicine.
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.