Enrico Grisan
- Radiology, Nuclear Medicine and Imaging top 1%
- Ophthalmology top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Genetics top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Alfredo RuggeriMarco ForacchiaEnea PolettiFábio ScarpaMichele RossiErich CosmiSilvia VisentinBarbara Di Camillo
- Topics
- Retinal Imaging and Analysis (23 papers)Glaucoma and retinal disorders (16 papers)Retinal Diseases and Treatments (11 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Enrico Grisan
132 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 149
- Radiology, Nuclear Medicine and Imaging 1.3k
- Ophthalmology 976
- Computer Vision and Pattern Recognition 632
- Genetics 248
- Pediatrics, Perinatology and Child Health 214
Countries citing papers authored by Enrico Grisan
This map shows the geographic impact of Enrico Grisan'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 Enrico Grisan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Grisan more than expected).
Fields of papers citing papers by Enrico Grisan
This network shows the impact of papers produced by Enrico Grisan. 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 Enrico Grisan. The network helps show where Enrico Grisan may publish in the future.
Co-authorship network of co-authors of Enrico Grisan
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Grisan. A scholar is included among the top collaborators of Enrico Grisan 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 Enrico Grisan. Enrico Grisan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients | 1 |
| 16 | 8 | |
| 17 | 5 | |
| 18 | An Expert System for Diabetic Retinopathy Screening With a Non-Mydriatic, Operator-Free Fundus Camera | 1 |
| 19 | 3 | |
| 20 | Enhanced classification-based vessel tracking using vessel models and Hough transform | 2 |
About Enrico Grisan
Enrico Grisan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 144 papers that have together received 2.5k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (23 papers), Glaucoma and retinal disorders (16 papers) and Retinal Diseases and Treatments (11 papers). The work is most often cited by research in Ophthalmology (976 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Computer Vision and Pattern Recognition (632 citations). Enrico Grisan has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Alfredo Ruggeri, Marco Foracchia, Enea Poletti, Fábio Scarpa, Michele Rossi, Erich Cosmi, Silvia Visentin, Barbara Di Camillo, Giovanni Battista Nardelli and Davide Zordan. Their work appears in journals such as Gastroenterology, Scientific Reports and International Journal of Hydrogen Energy.
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.