G. Impoco

29 papers receiving 348 citations

Peers

G. Impoco
Comparison fields: 5 of 93
  • Geology 67
  • Space and Planetary Science 14
  • Computer Vision and Pattern Recognition 201
  • Computer Graphics and Computer-Aided Design 18
  • Conservation 15
Replace Pilar Merchán with:
Pilar Merchán Spain
Lorenzo Cozzella Italy
Truc Le United States
Alan M. McIvor United Kingdom
Karol Jędrasiak Poland
Jean-François Rivest Canada
Chuhang Zou United States
Long Yang China
Zahra Saleem Pakistan
Wenshan Wang United States
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Citations per field
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Citations per year

Countries citing papers authored by G. Impoco

Since Specialization
Citations

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

Fields of papers citing papers by G. Impoco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Impoco, 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 G. Impoco Line = papers co-authored together G. Impoco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200444
2 200739
3
Quantitative Analysis of Cheese Microstructure using SEM Imagery
200735
4 200733
5 200433
6 200432
7 200315
8 200815
9 200613
10 200211
11 200410
12 201210
13 201110
14 201210
15 20159
16 20068
17 20137
18 20067
19 20066
20 20086

About G. Impoco

G. Impoco is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Surgery and Computational Mechanics, having authored 30 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Image Enhancement Techniques (5 papers), Medical Image Segmentation Techniques (5 papers), Computer Graphics and Visualization Techniques (5 papers), 3D Surveying and Cultural Heritage (4 papers), Advanced Data Compression Techniques (4 papers), Conservation Techniques and Studies (3 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Geology (67 citations), Space and Planetary Science (14 citations), Computer Vision and Pattern Recognition (201 citations), Computer Graphics and Computer-Aided Design (18 citations) and Conservation (15 citations). G. Impoco has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Roberto Scopigno, Paolo Cignoni, Giovanni Gallo, Sergio Carrato, Giovanni Ramponi, Sebastiano Battiato, G. Licitra, Margherita Caccamo, Stefano Marsi and Giovanni Maria Farinella. Their work appears in journals such as Computers and Electronics in Agriculture, Sensors, IEEE Transactions on Consumer Electronics, IEEE Transactions on Image Processing and Journal of Plastic Reconstructive & Aesthetic Surgery.

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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