Nicole Aucoin
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Oncology top 5%
- Artificial Intelligence top 2%
- Co-authors
- Steve PieperJoost J. M. van GriethuysenChintan ParmarAhmed HosnyVivek NarayanHugo J.W.L. AertsRegina G. H. Beets‐TanAndriy Fedorov
- Topics
- Scientific Computing and Data Management (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)MRI in cancer diagnosis (1 paper)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- Cancer ResearchNeuroinformaticsPubMed
- Partner nations
- United StatesNetherlands
In The Last Decade
Nicole Aucoin
3 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 3.8k
- Pulmonary and Respiratory Medicine 1.4k
- Biomedical Engineering 1.1k
- Oncology 622
- Artificial Intelligence 579
Countries citing papers authored by Nicole Aucoin
This map shows the geographic impact of Nicole Aucoin'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 Nicole Aucoin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Aucoin more than expected).
Fields of papers citing papers by Nicole Aucoin
This network shows the impact of papers produced by Nicole Aucoin. 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 Nicole Aucoin. The network helps show where Nicole Aucoin may publish in the future.
Co-authorship network of co-authors of Nicole Aucoin
This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Aucoin. A scholar is included among the top collaborators of Nicole Aucoin 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 Nicole Aucoin. Nicole Aucoin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Computational Radiomics System to Decode the Radiographic Phenotypebreakdown → | 4200 |
| 2 | 33 | |
| 3 | 3 |
About Nicole Aucoin
Nicole Aucoin is a scholar working on Information Systems and Management, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 3 papers that have together received 4.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.8k citations), Health Informatics (92 citations) and Pulmonary and Respiratory Medicine (1.4k citations). Nicole Aucoin has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Steve Pieper, Joost J. M. van Griethuysen, Chintan Parmar, Ahmed Hosny, Vivek Narayan, Hugo J.W.L. Aerts, Regina G. H. Beets‐Tan, Andriy Fedorov, Jean‐Christophe Fillion‐Robin and David B. Keator. Their work appears in journals such as Cancer Research, Neuroinformatics and PubMed.
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.