Francesco Bianconi
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Media Technology top 1%
- Pulmonary and Respiratory Medicine
- Co-authors
- Antonio FernándezElena GonzálezJakob Nikolas KatherBarbara PalumboFrancesco Di MariaTimo GaiserLothar R. SchadSusanne Melchers
- Topics
- Image Retrieval and Classification Techniques (27 papers)Advanced Image and Video Retrieval Techniques (19 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Francesco Bianconi
76 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 850
- Radiology, Nuclear Medicine and Imaging 499
- Artificial Intelligence 441
- Media Technology 274
- Pulmonary and Respiratory Medicine 198
Countries citing papers authored by Francesco Bianconi
This map shows the geographic impact of Francesco Bianconi'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 Francesco Bianconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Bianconi more than expected).
Fields of papers citing papers by Francesco Bianconi
This network shows the impact of papers produced by Francesco Bianconi. 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 Francesco Bianconi. The network helps show where Francesco Bianconi may publish in the future.
Co-authorship network of co-authors of Francesco Bianconi
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bianconi. A scholar is included among the top collaborators of Francesco Bianconi 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 Francesco Bianconi. Francesco Bianconi 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 8 | |
| 14 | 33 | |
| 15 | 42 | |
| 16 | 53 | |
| 17 | 22 | |
| 18 | 33 | |
| 19 | COLOUR AND TEXTURE FEATURES FOR IMAGE RETRIEVAL IN GRANITE INDUSTRY | 15 |
| 20 | Bridging the gap between CAD and CAE using STL files | 23 |
About Francesco Bianconi
Francesco Bianconi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (850 citations), Media Technology (274 citations) and Radiology, Nuclear Medicine and Imaging (499 citations). Francesco Bianconi has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Antonio Fernández, Elena González, Jakob Nikolas Kather, Barbara Palumbo, Francesco Di Maria, Timo Gaiser, Lothar R. Schad, Susanne Melchers, Cleo‐Aron Weis and Frank G. Zöllner. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.