Irene Gargantini
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Signal Processing top 5%
- Numerical Analysis top 5%
- Co-authors
- Peter HenriciTimothy R. WalshMaya RamanathG. SchrackLewis M. BrownJohn A. BarronGeorge LamMichael Bauer
- Topics
- Digital Image Processing Techniques (16 papers)Medical Image Segmentation Techniques (13 papers)Iterative Methods for Nonlinear Equations (7 papers)
- Partner nations
- CanadaSwitzerland
In The Last Decade
Irene Gargantini
32 papers receiving 955 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 449
- Computational Theory and Mathematics 255
- Computer Graphics and Computer-Aided Design 251
- Signal Processing 248
- Numerical Analysis 199
Countries citing papers authored by Irene Gargantini
This map shows the geographic impact of Irene Gargantini'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 Irene Gargantini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Gargantini more than expected).
Fields of papers citing papers by Irene Gargantini
This network shows the impact of papers produced by Irene Gargantini. 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 Irene Gargantini. The network helps show where Irene Gargantini may publish in the future.
Co-authorship network of co-authors of Irene Gargantini
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Gargantini. A scholar is included among the top collaborators of Irene Gargantini 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 Irene Gargantini. Irene Gargantini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 3 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | 20 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 435 | |
| 12 | 116 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 53 | |
| 16 | 5 | |
| 17 | 38 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 3 |
About Irene Gargantini
Irene Gargantini is a scholar working on Computer Graphics and Computer-Aided Design, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (16 papers), Medical Image Segmentation Techniques (13 papers) and Iterative Methods for Nonlinear Equations (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (251 citations), Numerical Analysis (199 citations) and Signal Processing (248 citations). Irene Gargantini has collaborated with scholars based in Canada and Switzerland. Frequent co-authors include Peter Henrici, Timothy R. Walsh, Maya Ramanath, G. Schrack, Lewis M. Brown, John A. Barron, George Lam and Michael Bauer. Their work appears in journals such as Communications of the ACM, Mathematics of Computation and Pattern Recognition.
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.