Elisabetta Binaghi

94 total papers · 1.3k total citations
53 papers, 882 citations indexed

About

Elisabetta Binaghi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Elisabetta Binaghi has authored 53 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 9 papers in Media Technology. Recurrent topics in Elisabetta Binaghi's work include Medical Image Segmentation Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Brain Tumor Detection and Classification (6 papers). Elisabetta Binaghi is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Remote-Sensing Image Classification (7 papers) and Brain Tumor Detection and Classification (6 papers). Elisabetta Binaghi collaborates with scholars based in Italy, United States and Canada. Elisabetta Binaghi's co-authors include Pietro Alessandro Brivio, Anna Rampini, Ignazio Gallo, Isabella Gagliardi, Raimondo Schettini, Daniela Stroppiana, Dean Graetz, Kevin Tansey, João M. N. Silva and Marta Maggi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Climatic Change and International Journal of Remote Sensing.

In The Last Decade

Elisabetta Binaghi

49 papers receiving 802 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Elisabetta Binaghi 271 229 192 178 162 53 882
Hua Li 140 0.5× 197 0.9× 148 0.8× 207 1.2× 84 0.5× 55 836
Anna Rampini 247 0.9× 187 0.8× 117 0.6× 126 0.7× 419 2.6× 50 1.0k
Juan J. Flores 143 0.5× 197 0.9× 56 0.3× 227 1.3× 114 0.7× 66 871
Mengmeng Li 203 0.7× 240 1.0× 97 0.5× 82 0.5× 208 1.3× 91 877
Xiaodao Chen 135 0.5× 145 0.6× 147 0.8× 155 0.9× 105 0.6× 42 915
Yi Wang 81 0.3× 93 0.4× 152 0.8× 153 0.9× 99 0.6× 69 834
Liguo Weng 71 0.3× 97 0.4× 307 1.6× 283 1.6× 126 0.8× 72 969
Ryuei Nishii 76 0.3× 144 0.6× 126 0.7× 199 1.1× 92 0.6× 74 1.0k
Surya S. Durbha 135 0.5× 235 1.0× 157 0.8× 218 1.2× 97 0.6× 98 1.0k
I. Kanellopoulos 96 0.4× 227 1.0× 86 0.4× 249 1.4× 156 1.0× 30 919

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

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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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