Mara Graziani
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Health Informatics top 5%
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Henning MüllerVincent AndrearczykAdrien DepeursingePedro Henriques AbreuRahul NairValeria PulignanoTobias BlankeWessel Reijers
- Topics
- AI in cancer detection (7 papers)Explainable Artificial Intelligence (XAI) (5 papers)Cell Image Analysis Techniques (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScience Advances
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Mara Graziani
16 papers receiving 168 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 98
- Radiology, Nuclear Medicine and Imaging 49
- Health Informatics 31
- Computer Vision and Pattern Recognition 20
- Biomedical Engineering 17
Countries citing papers authored by Mara Graziani
This map shows the geographic impact of Mara Graziani'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 Mara Graziani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Graziani more than expected).
Fields of papers citing papers by Mara Graziani
This network shows the impact of papers produced by Mara Graziani. 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 Mara Graziani. The network helps show where Mara Graziani may publish in the future.
Co-authorship network of co-authors of Mara Graziani
This figure shows the co-authorship network connecting the top 25 collaborators of Mara Graziani. A scholar is included among the top collaborators of Mara Graziani 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 Mara Graziani. Mara Graziani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 35 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 65 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | Visualizing and Interpreting Feature Reuse of Pretrained CNNs for Histopathology | 9 |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | Visual interpretability for patch-based classification of breast cancer histopathology images | 1 |
| 19 | 11 | |
| 20 | 1 |
About Mara Graziani
Mara Graziani is a scholar working on Biophysics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 172 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Health Informatics (31 citations), Artificial Intelligence (98 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Mara Graziani has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Henning Müller, Vincent Andrearczyk, Adrien Depeursinge, Pedro Henriques Abreu, Rahul Nair, Valeria Pulignano, Tobias Blanke, Wessel Reijers, Davide Calvaresi and John O. Prior. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Science Advances.
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.