Emanuele Torti

1.2k citations
67 papers · 838 indexed · h-index 17
Topics
Remote-Sensing Image Classification (18 papers)Retinal Diseases and Treatments (12 papers)Retinal Imaging and Analysis (12 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchIEEE Access
Partner nations
ItalySpainNorway

In The Last Decade

Emanuele Torti

63 papers receiving 822 citations

Peers

Emanuele Torti
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 280
  • Media Technology 177
  • Computer Vision and Pattern Recognition 160
  • Biomedical Engineering 153
  • Ophthalmology 148
Replace Francesco Leporati with:
Francesco Leporati Italy
He Zhao China
Mei Zhou China
Jorge Novo Spain
Pablo Márquez-Neila Switzerland
Ali M. Reza United States
Changmiao Wang China
Wei Xiong Singapore
Debdoot Sheet India
Huisi Wu China
Emanuele Torti relative to Francesco Leporati Italy Francesco Leporati's profile →
Citations per field
00.5×1.5×
Francesco Leporati · 1×
Citations per year

Countries citing papers authored by Emanuele Torti

Since Specialization
Citations

This map shows the geographic impact of Emanuele Torti'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 Emanuele Torti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Torti more than expected).

Fields of papers citing papers by Emanuele Torti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuele Torti. 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 Emanuele Torti. The network helps show where Emanuele Torti may publish in the future.

Co-authorship network of co-authors of Emanuele Torti

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Torti. A scholar is included among the top collaborators of Emanuele Torti 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 Emanuele Torti. Emanuele Torti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 4
4 3
5 3
6 9
7 5
8 10
9 25
10 11
11 2
12 1
13 48
14 36
15 17
16 1
17 8
18 30
19 31
20 16

About Emanuele Torti

Emanuele Torti is a scholar working on Media Technology, Biophysics and Ophthalmology, having authored 67 papers that have together received 838 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Retinal Diseases and Treatments (12 papers) and Retinal Imaging and Analysis (12 papers). The work is most often cited by research in Media Technology (177 citations), Ophthalmology (148 citations) and Biophysics (77 citations). Emanuele Torti has collaborated with scholars based in Italy, Spain and Norway. Frequent co-authors include Francesco Leporati, Giovanni Danese, Giordana Florimbi, Antonio Plaza, Gustavo M. Callicó, Samuel Ortega, Himar Fabelo, Stela Vujosevic, Paolo Nucci and Stefano De Cillà. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and IEEE Access.

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.

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