A. D’Addabbo
Impact in
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Flood Risk Assessment and Management 18
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- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 8
- Co-authors
- Alberto Refice (21 shared papers)Rosalia Maglietta (13 shared papers)G. Pasquariello (14 shared papers)Domenico Capolongo (12 shared papers)Francesco Lovergine (13 shared papers)Nicola Ancona (15 shared papers)L. Castellana (2 shared papers)Salvatore Manfreda (4 shared papers)
- Journals
- BMC Bioinformatics (4 papers)Water (4 papers)Nuclear Medicine Communications (2 papers)Pattern Recognition Letters (2 papers)Artificial Intelligence in Medicine (2 papers)
- Partner nations
- ItalyUnited StatesLuxembourg
In The Last Decade
A. D’Addabbo
70 papers receiving 925 citations
Peers
Comparison fields: 5 of 130
- Global and Planetary Change 302
- Media Technology 109
- Atmospheric Science 176
- Water Science and Technology 129
- Environmental Engineering 129
Countries citing papers authored by A. D’Addabbo
This map shows the geographic impact of A. D’Addabbo'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. D’Addabbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D’Addabbo more than expected).
Fields of papers citing papers by A. D’Addabbo
This network shows the impact of papers produced by A. D’Addabbo. 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. D’Addabbo. The network helps show where A. D’Addabbo may publish in the future.
Co-authors
The 25 scholars most cited alongside A. D’Addabbo, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2009 | 84 | |
| 3 | 2006 | 68 | |
| 4 | 2006 | 61 | |
| 5 | 2019 | 47 | |
| 6 | 2015 | 47 | |
| 7 | 2017 | 43 | |
| 8 | 2018 | 37 | |
| 9 | 2005 | 35 | |
| 10 | Clearance kinetics and fate of macromolecular IgA in patients with IgA nephropathy. | 1989 | 33 |
| 11 | 2009 | 32 | |
| 12 | 2006 | 25 | |
| 13 | 1964 | 25 | |
| 14 | 2020 | 24 | |
| 15 | 2004 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2024 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 1997 | 12 |
About A. D’Addabbo
A. D’Addabbo is a scholar working on Global and Planetary Change, Molecular Biology, Atmospheric Science, Environmental Engineering and Aerospace Engineering, having authored 73 papers that have together received 962 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (18 papers), Gene expression and cancer classification (9 papers), Hydrology and Watershed Management Studies (8 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Bioinformatics and Genomic Networks (8 papers), Remote-Sensing Image Classification (7 papers), Precipitation Measurement and Analysis (6 papers) and Soil Moisture and Remote Sensing (6 papers). The work is most often cited by research in Global and Planetary Change (302 citations), Media Technology (109 citations), Atmospheric Science (176 citations), Water Science and Technology (129 citations) and Environmental Engineering (129 citations). A. D’Addabbo has collaborated with scholars based in Italy, United States and Luxembourg. Frequent co-authors include Alberto Refice, Rosalia Maglietta, G. Pasquariello, Domenico Capolongo, Francesco Lovergine, Nicola Ancona, L. Castellana, Salvatore Manfreda, Graziano Pesole and Sabino Liuni. Their work appears in journals such as BMC Bioinformatics, Water, Nuclear Medicine Communications, Pattern Recognition Letters and Artificial Intelligence 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.