Francesco Bianconi

3.4k citations
98 papers · 2.6k · 1 hit paper · h-index 29

Impact in

Papers in

Francesco Bianconi

91 papers receiving 2.5k citations

Francesco Bianconi's Hit Papers

Multi-class texture analysis in colorectal cancer histology 2016 · 382 citations
3820+3+6Years since publication100200300

Peers

Francesco Bianconi
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 316
  • Radiology, Nuclear Medicine and Imaging 525
  • Artificial Intelligence 580
  • Industrial and Manufacturing Engineering 169
Replace Mei Chen with:
Mei Chen China
Huimin Huang China
Zhongyue Zhang China
Agnieszka Mikołajczyk Poland
Md Zahangir Alom United States
Víctor Villena-Martínez Spain
Jun Ma China
Wu Song China
Joon Huang Chuah Malaysia
Francesco Bianconi relative to Mei Chen China Mei Chen's profile →
Citations per field
00.5×4.1×
Mei Chen · 1×
Citations per year

Countries citing papers authored by Francesco Bianconi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Francesco Bianconi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Bianconi Line = papers co-authored together Francesco Bianconi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-class texture analysis in colorectal cancer histology
Hit paper breakdown →
2016382
2 2007196
3 2012106
4 2023105
5 201694
6 201181
7 201473
8 201262
9 201956
10 201056
11 201955
12 201153
13 201551
14 200949
15 201449
16 201746
17 202045
18 200344
19 201542
20 201739

About Francesco Bianconi

Francesco Bianconi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Media Technology and Pulmonary and Respiratory Medicine, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (35 papers), Advanced Image and Video Retrieval Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Medical Image Segmentation Techniques (10 papers), Remote-Sensing Image Classification (10 papers), AI in cancer detection (9 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (316 citations), Radiology, Nuclear Medicine and Imaging (525 citations), Artificial Intelligence (580 citations) and Industrial and Manufacturing Engineering (169 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, Lothar R. Schad, Alexander Marx, Frank G. Zöllner, Mario Luca Fravolini and Susanne Melchers. Their work appears in journals such as Applied Sciences, Pattern Recognition Letters, Journal of Mathematical Imaging and Vision, Cancers and Molecular Imaging and Biology.

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.

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