Nicholas Heller
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 3
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- Renal cell carcinoma treatment 8
- Renal and Vascular Pathologies 2
- Co-authors
- Nikolaos Papanikolopoulos (7 shared papers)Christopher Weight (16 shared papers)Resha Tejpaul (8 shared papers)Sean McSweeney (2 shared papers)Matthew Peterson (3 shared papers)Diana Mateus (1 shared paper)Erick M. Remer (5 shared papers)Paul Blake (4 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)The Journal of Urology (3 papers)PLoS ONE (1 paper)British Journal of Urology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Nicholas Heller
19 papers receiving 80 citations
Peers
Comparison fields: 5 of 33
- Health Informatics 3
- Computer Vision and Pattern Recognition 23
- Radiology, Nuclear Medicine and Imaging 21
- Neurology 6
- Artificial Intelligence 24
Countries citing papers authored by Nicholas Heller
This map shows the geographic impact of Nicholas Heller'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 Nicholas Heller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Heller more than expected).
Fields of papers citing papers by Nicholas Heller
This network shows the impact of papers produced by Nicholas Heller. 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 Nicholas Heller. The network helps show where Nicholas Heller may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Heller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 15 | |
| 2 | 2020 | 11 | |
| 3 | Computer Aided Diagnosis of Skin Lesions from Morphological Features | 2018 | 8 |
| 4 | 2022 | 7 | |
| 5 | 2025 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 4 | |
| 10 | Possible homology of ectodermal dysplasia and tabby, and possible role of egf. Abstr. | 1982 | 3 |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Nicholas Heller
Nicholas Heller is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Oncology, having authored 24 papers that have together received 82 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Renal cell carcinoma treatment (8 papers), Advanced X-ray and CT Imaging (4 papers), MRI in cancer diagnosis (3 papers), Surgical Simulation and Training (2 papers), Renal and Vascular Pathologies (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (3 citations), Computer Vision and Pattern Recognition (23 citations), Radiology, Nuclear Medicine and Imaging (21 citations), Neurology (6 citations) and Artificial Intelligence (24 citations). Nicholas Heller has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Nikolaos Papanikolopoulos, Christopher Weight, Resha Tejpaul, Sean McSweeney, Matthew Peterson, Diana Mateus, Erick M. Remer, Paul Blake, Veronika Cheplygina and Stan R. Blecher. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Urology, PLoS ONE, British Journal of Urology and Cancer Research.
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.