Daniel Riccio
- Signal Processing top 0.5%
- Biometric Identification and Security 36
-
- Face recognition and analysis 28
- Face and Expression Recognition 24
- Digital Imaging for Blood Diseases 4
- Human-Computer Interaction top 2%
- Information Systems top 2%
- User Authentication and Security Systems 16
- Media Technology top 5%
-
- Glaucoma and retinal disorders 6
-
- Retinal Imaging and Analysis 6
-
- AI in cancer detection 5
Daniel Riccio
69 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Signal Processing 969
- Computer Vision and Pattern Recognition 1.4k
- Human-Computer Interaction 158
- Information Systems 389
- Media Technology 89
Countries citing papers authored by Daniel Riccio
This map shows the geographic impact of Daniel Riccio'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 Daniel Riccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Riccio more than expected).
Fields of papers citing papers by Daniel Riccio
This network shows the impact of papers produced by Daniel Riccio. 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 Daniel Riccio. The network helps show where Daniel Riccio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Riccio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2022 | 65 | |
| 3 | 2021 | 20 | |
| 4 | Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. | 2021 | 3 |
| 5 | 2020 | 7 | |
| 6 | 2019 | 58 | |
| 7 | 2018 | 29 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 27 | |
| 10 | 2016 | 43 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 5 | |
| 14 | 2013 | 76 | |
| 15 | 2012 | 81 | |
| 16 | 2012 | 22 | |
| 17 | 2011 | 7 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2005 | 63 |
About Daniel Riccio
Daniel Riccio is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Space and Planetary Science, Ophthalmology and Information Systems, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (36 papers), Face recognition and analysis (28 papers), Face and Expression Recognition (24 papers), User Authentication and Security Systems (16 papers), Glaucoma and retinal disorders (6 papers), Retinal Imaging and Analysis (6 papers), AI in cancer detection (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Signal Processing (969 citations), Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (158 citations), Information Systems (389 citations) and Media Technology (89 citations). Daniel Riccio has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Michele Nappi, Maria De Marsico, Andrea F. Abate, Gabriele Sabatino, Harry Wechsler, Maria Frucci, Chiara Galdi, Nadia Brancati, Jean‐Luc Dugelay and Giuseppe De Pietro. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, IEEE Access, Journal of Visual Languages & Computing and Journal of Ambient Intelligence and Humanized Computing.
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.