Fŕed́eric Precioso
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Matthieu CordMichel BarlaudMohamed LimamMichaël UnserThierry BluArnaud DroitLucile SassatelliIsabelle Fournier
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Image Retrieval and Classification Techniques (14 papers)Video Analysis and Summarization (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- FranceCanadaUnited Kingdom
In The Last Decade
Fŕed́eric Precioso
54 papers receiving 524 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 308
- Artificial Intelligence 145
- Signal Processing 69
- Molecular Biology 48
- Biomedical Engineering 38
Countries citing papers authored by Fŕed́eric Precioso
This map shows the geographic impact of Fŕed́eric Precioso'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 Fŕed́eric Precioso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fŕed́eric Precioso more than expected).
Fields of papers citing papers by Fŕed́eric Precioso
This network shows the impact of papers produced by Fŕed́eric Precioso. 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 Fŕed́eric Precioso. The network helps show where Fŕed́eric Precioso may publish in the future.
Co-authorship network of co-authors of Fŕed́eric Precioso
This figure shows the co-authorship network connecting the top 25 collaborators of Fŕed́eric Precioso. A scholar is included among the top collaborators of Fŕed́eric Precioso 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 Fŕed́eric Precioso. Fŕed́eric Precioso 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 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 55 | |
| 9 | Semi-Supervised Consensus Clustering Based on Frequent Closed Itemsets | 0 |
| 10 | 3 | |
| 11 | 3 | |
| 12 | Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee. | 1 |
| 13 | Plant Species Recognition using Bag-Of-Word with SVM Classifier in the Context of the LifeCLEF Challenge. | 2 |
| 14 | SIFT, BoW Architecture and one-against-all Support Vector Machine. | 2 |
| 15 | 49 | |
| 16 | Face Blurring for Privacy in Street-level Geoviewers Combining Face, Body and Skin Detectors | 3 |
| 17 | SHOT BOUNDARY DETECTION AT TRECVID 2006 | 8 |
| 18 | 40 | |
| 19 | 2 | |
| 20 | 2 |
About Fŕed́eric Precioso
Fŕed́eric Precioso is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 58 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (14 papers) and Video Analysis and Summarization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Signal Processing (69 citations) and Artificial Intelligence (145 citations). Fŕed́eric Precioso has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Matthieu Cord, Michel Barlaud, Mohamed Limam, Michaël Unser, Thierry Blu, Arnaud Droit, Lucile Sassatelli, Isabelle Fournier, Michel Salzet and Charles Bouveyron. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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.