Brendon Lutnick
- Health Informatics top 5%
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes 2
- Renal Diseases and Glomerulopathies 2
- Biophysics top 10%
- Cell Image Analysis Techniques 4
- Artificial Intelligence top 10%
- AI in cancer detection 11
- Machine Learning in Healthcare 2
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- Medical Image Segmentation Techniques 4
- Generative Adversarial Networks and Image Synthesis 3
- Digital Imaging for Blood Diseases 2
- Co-authors
- Pinaki SarderBrandon GinleyJohn E. TomaszewskiKuang‐Yu JenRabi YacoubSanjay JainAvi Z. RosenbergVighnesh Walavalkar
- Journals
- Scientific Reports (1 paper)Journal of the American Society of Nephrology (2 papers)Journal of Investigative Dermatology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Brendon Lutnick
17 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 30
- Nephrology 49
- Biophysics 30
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Brendon Lutnick
This map shows the geographic impact of Brendon Lutnick'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 Brendon Lutnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendon Lutnick more than expected).
Fields of papers citing papers by Brendon Lutnick
This network shows the impact of papers produced by Brendon Lutnick. 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 Brendon Lutnick. The network helps show where Brendon Lutnick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brendon Lutnick, 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 | 2024 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 5 | |
| 12 | Generative modeling for label-free glomerular modeling and classification. | 2020 | 3 |
| 13 | 2019 | 123 | |
| 14 | 2019 | 89 | |
| 15 | 2018 | 1 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 24 |
About Brendon Lutnick
Brendon Lutnick is a scholar working on Health Informatics, Biophysics and Nephrology, having authored 18 papers that have together received 306 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Medical Image Segmentation Techniques (4 papers), Cell Image Analysis Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Machine Learning in Healthcare (2 papers), Digital Imaging for Blood Diseases (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Health Informatics (30 citations), Nephrology (49 citations) and Biophysics (30 citations). Brendon Lutnick has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Pinaki Sarder, Brandon Ginley, John E. Tomaszewski, Kuang‐Yu Jen, Rabi Yacoub, Sanjay Jain, Avi Z. Rosenberg, Vighnesh Walavalkar, Gregory E. Wilding and Giovanni Maria Rossi. Their work appears in journals such as Scientific Reports, Journal of the American Society of Nephrology and Journal of Investigative Dermatology.
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.