Louis Blankemeier
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in ⓘ
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- Nanowire Synthesis and Applications 2
- Advanced X-ray and CT Imaging 2
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- Radiation Dose and Imaging 3
- Radiology practices and education 2
- Co-authors
- Rehan Kapadia (5 shared papers)Jayakanth Ravichandran (3 shared papers)Matthew Yeung (3 shared papers)Shanyuan Niu (3 shared papers)Debarghya Sarkar (4 shared papers)Kevin Ye (1 shared paper)Huaixun Huyan (1 shared paper)Thomas Orvis (1 shared paper)
- Journals
- ACS Nano (2 papers)Advanced Materials (2 papers)IEEE Transactions on Medical Imaging (1 paper)Nature Medicine (1 paper)Radiology (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Louis Blankemeier
16 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 124
- Family Practice 12
- Materials Chemistry 238
- Surfaces, Coatings and Films 34
- Electrical and Electronic Engineering 276
Countries citing papers authored by Louis Blankemeier
This map shows the geographic impact of Louis Blankemeier'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 Louis Blankemeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louis Blankemeier more than expected).
Fields of papers citing papers by Louis Blankemeier
This network shows the impact of papers produced by Louis Blankemeier. 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 Louis Blankemeier. The network helps show where Louis Blankemeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Louis Blankemeier, 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 | Adapted large language models can outperform medical experts in clinical text summarization Hit paper breakdown → | 2024 | 252 |
| 2 | 2016 | 220 | |
| 3 | 2022 | 135 | |
| 4 | 2017 | 30 | |
| 5 | 2025 | 17 | |
| 6 | 2018 | 15 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 |
About Louis Blankemeier
Louis Blankemeier is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Physiology and Electrical and Electronic Engineering, having authored 16 papers that have together received 707 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (3 papers), Radiation Dose and Imaging (3 papers), Nutrition and Health in Aging (3 papers), Nanowire Synthesis and Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Advanced X-ray and CT Imaging (2 papers), Semiconductor materials and devices (2 papers) and Radiology practices and education (2 papers). The work is most often cited by research in Health Informatics (124 citations), Family Practice (12 citations), Materials Chemistry (238 citations), Surfaces, Coatings and Films (34 citations) and Electrical and Electronic Engineering (276 citations). Louis Blankemeier has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Rehan Kapadia, Jayakanth Ravichandran, Matthew Yeung, Shanyuan Niu, Debarghya Sarkar, Kevin Ye, Huaixun Huyan, Thomas Orvis, David J. Singh and Yang Liu. Their work appears in journals such as ACS Nano, Advanced Materials, IEEE Transactions on Medical Imaging, Nature Medicine and Radiology.
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.