Federico Girosi
Impact in
- Health Information Management top 0.05%
- Electronic Health Records Systems
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- Face and Expression Recognition
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
Papers in
Federico Girosi
119 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Health Information Management 997
- Computer Vision and Pattern Recognition 4.2k
- Artificial Intelligence 5.1k
- Signal Processing 1.1k
- Control and Systems Engineering 2.1k
Countries citing papers authored by Federico Girosi
This map shows the geographic impact of Federico Girosi'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 Girosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Girosi more than expected).
Fields of papers citing papers by Federico Girosi
This network shows the impact of papers produced by Federico Girosi. 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 Girosi. The network helps show where Federico Girosi may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Girosi, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2019 | 7 | |
| 6 | 2018 | 5 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 76 | |
| 11 | Grandfathering in the Small Group Market Under the Patient Protection and Affordable Care Act: Effects on Offer Rates, Premiums, and Coverage. | 2011 | 0 |
| 12 | 2010 | 12 | |
| 13 | 2010 | 4 | |
| 14 | 2006 | 91 | |
| 15 | 2006 | 39 | |
| 16 | 2005 | 1 | |
| 17 | Neural Networks for Signal Processing V : proceedings of the 1995 IEEE Workshop | 1995 | 1 |
| 18 | Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples | 1990 | 21 |
| 19 | Extensions of a Theory of Networks for Approximation and Learning. | 1990 | 2 |
| 20 | Coupled Markov Random Fields and Mean Field Theory | 1989 | 5 |
About Federico Girosi
Federico Girosi is a scholar working on Health Informatics, Health Information Management, General Health Professions, Economics and Econometrics and Computer Vision and Pattern Recognition, having authored 127 papers that have together received 13.5k indexed citations. Recurring topics across this work include Healthcare Policy and Management (29 papers), Neural Networks and Applications (22 papers), Global Health Care Issues (16 papers), Primary Care and Health Outcomes (15 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), demographic modeling and climate adaptation (8 papers), Advanced Vision and Imaging (7 papers) and Health disparities and outcomes (7 papers). The work is most often cited by research in Health Information Management (997 citations), Computer Vision and Pattern Recognition (4.2k citations), Artificial Intelligence (5.1k citations), Signal Processing (1.1k citations) and Control and Systems Engineering (2.1k citations). Federico Girosi has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Tomaso Poggio, E. Osuna, Robert M. Freund, Michael Jones, Partha Niyogi, Robin Meili, Richard Scoville, Richard Hillestad, Roger Taylor and James H. Bigelow. Their work appears in journals such as Nature, Neural Computation, BMJ Open, PLoS ONE and Health Affairs.
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.