Nicholas Heller
- Health Informatics top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Public Health, Environmental and Occupational Health
- Co-authors
- Nikolaos PapanikolopoulosChristopher WeightResha TejpaulPaul BlakeJoel RosenbergArveen KalaparaRanveer VasdevSubodh Regmi
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Renal cell carcinoma treatment (6 papers)Advanced X-ray and CT Imaging (5 papers)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Nicholas Heller
19 papers receiving 137 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 41
- Artificial Intelligence 36
- Radiology, Nuclear Medicine and Imaging 36
- Computer Vision and Pattern Recognition 26
- Public Health, Environmental and Occupational Health 22
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-authorship network of co-authors of Nicholas Heller
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Heller. A scholar is included among the top collaborators of Nicholas Heller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Heller. Nicholas Heller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 66 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | Computer Aided Diagnosis of Skin Lesions from Morphological Features | 8 |
About Nicholas Heller
Nicholas Heller is a scholar working on Health Informatics, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 141 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Renal cell carcinoma treatment (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Health Informatics (41 citations), Safety Research (15 citations) and General Dentistry (3 citations). Nicholas Heller has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Nikolaos Papanikolopoulos, Christopher Weight, Resha Tejpaul, Paul Blake, Joel Rosenberg, Arveen Kalapara, Ranveer Vasdev, Subodh Regmi, Sean McSweeney and Yiming Xiao. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and The Journal of Urology.
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.