E. Binaghi

21 papers receiving 382 citations

Peers

E. Binaghi
Comparison fields: 5 of 76
  • Media Technology 110
  • Management, Monitoring, Policy and Law 136
  • Safety, Risk, Reliability and Quality 54
  • Atmospheric Science 106
  • Global and Planetary Change 118
Replace J.A. Malpica with:
J.A. Malpica Spain
Fengyan Wang China
J.M.V. Grzybowski Brazil
Shiuan Wan Taiwan
Guangjun He China
Shanxiong Chen China
Ling Peng China
Dawen Yu China
Reza Shah–Hosseini Iran
Lorenzo Nava Italy
E. Binaghi relative to J.A. Malpica Spain J.A. Malpica's profile →
Citations per field
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J.A. Malpica · 1×
Citations per year

Countries citing papers authored by E. Binaghi

Since Specialization
Citations

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

Fields of papers citing papers by E. Binaghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Binaghi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Binaghi Line = papers co-authored together E. Binaghi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998146
2 199750
3 200147
4 200341
5 200328
6 199327
7 201126
8 200713
9 199912
10 20039
11 20048
12 20085
13 20035
14 20133
15
Empirical learning for fuzzy knowledge acquisition
19923
16 20022
17 20032
18 20051
19 20101
20 20161

About E. Binaghi

E. Binaghi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science and Ecology, having authored 24 papers that have together received 431 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Image Retrieval and Classification Techniques (4 papers), Cryospheric studies and observations (3 papers), Landslides and related hazards (3 papers), Remote Sensing in Agriculture (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Neural Networks and Applications (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Media Technology (110 citations), Management, Monitoring, Policy and Law (136 citations), Safety, Risk, Reliability and Quality (54 citations), Atmospheric Science (106 citations) and Global and Planetary Change (118 citations). E. Binaghi has collaborated with scholars based in Italy. Frequent co-authors include Anna Rampini, F. Pergalani, Lucia Luzi, Ignazio Gallo, Pietro Alessandro Brivio, Monica Pepe, P. Blonda, Andrea Baraldi, Raimondo Schettini and M. Maggi. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Natural Hazards, International Journal of Remote Sensing, IEEE Transactions on Knowledge and Data Engineering and Pattern Recognition Letters.

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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