Federica Marcolin
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Human-Computer Interaction top 2%
- Signal Processing top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Enrico VezzettiMaria Grazia ViolanteLuca UlrichIvonne Angélica Castiblanco JiménezSandro MoosStefano TornincasaFrancesca NonisGiulia Fracastoro
- Topics
- Face recognition and analysis (23 papers)Face and Expression Recognition (15 papers)Color perception and design (10 papers)
In The Last Decade
Federica Marcolin
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 496
- Experimental and Cognitive Psychology 169
- Human-Computer Interaction 159
- Signal Processing 153
- Cognitive Neuroscience 106
Countries citing papers authored by Federica Marcolin
This map shows the geographic impact of Federica Marcolin'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 Federica Marcolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Marcolin more than expected).
Fields of papers citing papers by Federica Marcolin
This network shows the impact of papers produced by Federica Marcolin. 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 Federica Marcolin. The network helps show where Federica Marcolin may publish in the future.
Co-authorship network of co-authors of Federica Marcolin
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Marcolin. A scholar is included among the top collaborators of Federica Marcolin 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 Federica Marcolin. Federica Marcolin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 23 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 28 | |
| 14 | 92 | |
| 15 | 21 | |
| 16 | 3D Face Expression Recognition via Geometry A Preparatory Path | 1 |
| 17 | 22 | |
| 18 | 32 | |
| 19 | PDF Citation Solutions for operatively supporting Knowledge Reuse in the technical context: a first evaluation model | 1 |
| 20 | Three-Dimensional Human Face Analysis: Soft Tissue Morphometry | 4 |
About Federica Marcolin
Federica Marcolin is a scholar working on Orthodontics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face recognition and analysis (23 papers), Face and Expression Recognition (15 papers) and Color perception and design (10 papers). The work is most often cited by research in Human-Computer Interaction (159 citations), Computer Vision and Pattern Recognition (496 citations) and Orthodontics (66 citations). Federica Marcolin has collaborated with scholars based in Italy, France and Colombia. Frequent co-authors include Enrico Vezzetti, Maria Grazia Violante, Luca Ulrich, Ivonne Angélica Castiblanco Jiménez, Sandro Moos, Stefano Tornincasa, Francesca Nonis, Giulia Fracastoro, Francesco Ferrise and Giulia Wally Scurati. Their work appears in journals such as Scientific Reports, Journal of Biomechanics and Sensors.
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.