Irene Epifanio
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Co-authors
- Jesús MaloSandra AlemanyNoelia Ventura‐CamposPierre SoilleGuillermo AyalaM. Victoria IbáñezAmelia SimóRafael Navarro
- Topics
- Morphological variations and asymmetry (8 papers)Advanced Statistical Methods and Models (8 papers)Image Retrieval and Classification Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- SpainItalyUnited States
In The Last Decade
Irene Epifanio
56 papers receiving 751 citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 175
- Statistics and Probability 122
- Media Technology 83
- Signal Processing 75
Countries citing papers authored by Irene Epifanio
This map shows the geographic impact of Irene Epifanio'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 Epifanio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Epifanio more than expected).
Fields of papers citing papers by Irene Epifanio
This network shows the impact of papers produced by Irene Epifanio. 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 Epifanio. The network helps show where Irene Epifanio may publish in the future.
Co-authorship network of co-authors of Irene Epifanio
This figure shows the co-authorship network connecting the top 25 collaborators of Irene Epifanio. A scholar is included among the top collaborators of Irene Epifanio 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 Epifanio. Irene Epifanio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 15 | |
| 17 | 31 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 30 |
About Irene Epifanio
Irene Epifanio is a scholar working on Statistics and Probability, Signal Processing and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 775 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (8 papers), Advanced Statistical Methods and Models (8 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Statistics and Probability (122 citations), Computer Vision and Pattern Recognition (213 citations) and Media Technology (83 citations). Irene Epifanio has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Jesús Malo, Sandra Alemany, Noelia Ventura‐Campos, Pierre Soille, Guillermo Ayala, M. Victoria Ibáñez, Amelia Simó, Rafael Navarro, Eero P. Simoncelli and J. Aguado. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.