i10 Productivity
Rankings
University of Notre Dame ScientistsEngineering & Technology / Biomedical Engineering i10 Productivity Rankings 2024
Productivity Rankings is a unique service offered only by “AD Scientific Index”. This is a ranking system derived from the i10 index in order to show the productivity of the scientist in publishing scientific articles of value. Productivity Rankings is an instrument that lists productive scientists in a given area, discipline, university, and country and can guide the development of meaningful incentives and academic policies. The world rankings, regional rankings, and university rankings of scientists in this table are developed based on the total i10 index. Click for "last 6 years' i10 index". Also see: Universities Rankings 2024 (Sort by : Total i10 Index) and Universities Rankings 2024 (Sort by : Last 6 Years i10 Index)
| Total i10 Index | AD Scientific Index - World Scientists i10 Productivity Rankings - 2024 | i10 Index Metrics | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| University Rank | Country Rank | Region Rank | World Rank | Name | Country | University / Institution |
Subject Research Areas |
Total | Last 6 Year | Last 6 year/total |
| 343 | 108,914 | 123,703 | 404,143 |
United States |
University of Notre Dame
|
Engineering & Technology / Biomedical Engineering
Biomedical optics | breast cancer imaging | diffuse optical imaging | VCSELs | |
34 | 29 | 0.853 | |
| 596 | 203,863 | 229,004 | 771,122 |
United States |
University of Notre Dame
|
Engineering & Technology / Biomedical Engineering
Biomedical Engineering | Biomaterials | Stem cells | Mass spectrometry | |
14 | 13 | 0.929 | |
| 728 | 255,003 | 285,193 | 978,435 |
United States |
University of Notre Dame
|
Engineering & Technology / Biomedical Engineering
Medical Devices | Biomedical Engineering | Design Education | Engineering Design | Biophotonics | |
8 | 8 | 1.000 | |
| 734 | 256,903 | 287,244 | 985,551 |
United States |
University of Notre Dame
|
Engineering & Technology / Computer Science
deep learning for biomedical image processing | |
8 | 8 | 1.000 | |