Elisabetta Binaghi

1.3k citations
53 papers · 882 indexed · h-index 17

Elisabetta Binaghi

49 papers receiving 803 citations

Peers

Elisabetta Binaghi
Comparison fields: 5 of 114
  • Global and Planetary Change 272
  • Ecology 228
  • Computer Vision and Pattern Recognition 194
  • Artificial Intelligence 179
  • Atmospheric Science 160
Replace Alexander Kupriyanov with:
Alexander Kupriyanov Russia
Dimitris Stavrakoudis Greece
L. Agilandeeswari India
Juan J. Flores Mexico
Consuelo Gonzalo‐Martín Spain
Jixian Zhang China
Demetris Stathakis Greece
Grant J. Scott United States
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Citations per field
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Citations per year

Countries citing papers authored by Elisabetta Binaghi

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Binaghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Binaghi

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Binaghi. A scholar is included among the top collaborators of Elisabetta Binaghi 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 Elisabetta Binaghi. Elisabetta Binaghi 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 1
2 2
3 17
4 4
5 13
6 18
7 27
8 32
9 1
10 6
11
Inductive and Deductive reasoning Techniques for Fuzzy Dempster-Shafer Classifiers
2
12
A hybrid fuzzy expert system shell for automated medical diagnosis
1
13
Proceedings of the International Workshop on Soft Computing in Remote Sensing Data Analysis, Milan, Italy, December 4-5, 1995
3
14 6
15
A fuzzy set based connectionist model with domain knowledge dependent learning rule
1
16 22
17
Indexing and Fuzzy Logic-Based Retrieval of Color Images
29
18 17
19 2
20
Designing complex computational systems in physics experiments: a scientific approach towards a model based method
4

About Elisabetta Binaghi

Elisabetta Binaghi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Neurology, having authored 53 papers that have together received 882 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Multi-Criteria Decision Making (6 papers). The work is most often cited by research in Media Technology (152 citations), Global and Planetary Change (272 citations) and Computer Vision and Pattern Recognition (194 citations). Elisabetta Binaghi has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Pietro Alessandro Brivio, Anna Rampini, Ignazio Gallo, Raimondo Schettini, Isabella Gagliardi, Dean Graetz, Kevin Tansey, Pascal Peduzzi, Robert Fraser and Luigi Boschetti. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Climatic Change and International Journal of Remote Sensing.

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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