Federico Bianchi
Impact in
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
- Neurology top 5%
Papers in
-
- Gastrointestinal Bleeding Diagnosis and Treatment 10
- Genetics 16
- Glioma Diagnosis and Treatment 14
- Craniofacial Disorders and Treatments 7
- Co-authors
- Dirk HovyMichael R. NarayananS. CeruttiStephen J. RedmondLuca MassimiNigel H. LovellGianpiero TamburriniPaolo Frassanito
- Journals
- Child s Nervous System (23 papers)Theoretical and Applied Genetics (6 papers)Minerva Urology and Nephrology (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)World Neurosurgery (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Federico Bianchi
145 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 174
- Gastroenterology 134
- Neurology 254
- Computer Vision and Pattern Recognition 329
- Genetics 160
- Radiology, Nuclear Medicine and Imaging 330
Countries citing papers authored by Federico Bianchi
This map shows the geographic impact of Federico Bianchi'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 Federico Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Bianchi more than expected).
Fields of papers citing papers by Federico Bianchi
This network shows the impact of papers produced by Federico Bianchi. 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 Federico Bianchi. The network helps show where Federico Bianchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Bianchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 0 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 0 | |
| 15 | 2018 | 24 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 3 | |
| 18 | Validating convolution neural networks for automatic polyp detection in robotic colonoscopy | 2016 | 1 |
| 19 | Simulating Knowledge Dynamics in Innovation Networks (Understanding Complex Systems) by Nigel Gilbert, Petra Ahrweiler and Andreas Pyka (eds.) . | 2015 | 2 |
| 20 | 2012 | 28 |
About Federico Bianchi
Federico Bianchi is a scholar working on Gastroenterology, Genetics, Neurology, Cellular and Molecular Neuroscience and Surgery, having authored 154 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (16 papers), Glioma Diagnosis and Treatment (14 papers), Head and Neck Surgical Oncology (11 papers), Pituitary Gland Disorders and Treatments (10 papers), Gastrointestinal Bleeding Diagnosis and Treatment (10 papers), Spinal Dysraphism and Malformations (8 papers), Topic Modeling (7 papers) and Craniofacial Disorders and Treatments (7 papers). The work is most often cited by research in Gastroenterology (134 citations), Neurology (254 citations), Computer Vision and Pattern Recognition (329 citations), Genetics (160 citations) and Radiology, Nuclear Medicine and Imaging (330 citations). Federico Bianchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Dirk Hovy, Michael R. Narayanan, S. Cerutti, Stephen J. Redmond, Luca Massimi, Nigel H. Lovell, Gianpiero Tamburrini, Paolo Frassanito, Gastone Ciuti and Debora Nozza. Their work appears in journals such as Child s Nervous System, Theoretical and Applied Genetics, Minerva Urology and Nephrology, The Journal of Clinical Endocrinology & Metabolism and World Neurosurgery.
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.