Heather D. Couture

533 citations
7 papers · 276 indexed · h-index 5
Topics
AI in cancer detection (5 papers)Image Retrieval and Classification Techniques (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
United States

In The Last Decade

Heather D. Couture

7 papers receiving 271 citations

Peers

Heather D. Couture
Comparison fields: 5 of 53
  • Artificial Intelligence 215
  • Radiology, Nuclear Medicine and Imaging 155
  • Cancer Research 64
  • Biophysics 54
  • Computer Vision and Pattern Recognition 49
Replace Zhaoxuan Ma with:
Zhaoxuan Ma United States
Jesper Molin Sweden
Nathan Ing United States
Lorraine Corsale United States
Alexander W. Jung United Kingdom
Trissia Brown United States
Ronnachai Jaroensri United States
Zhaoyang Xu China
Marko van Treeck Germany
Nick Weiss Germany
Heather D. Couture relative to Zhaoxuan Ma United States Zhaoxuan Ma's profile →
Citations per field
00.5×1.5×1.9×
Zhaoxuan Ma · 1×
Citations per year

Countries citing papers authored by Heather D. Couture

Since Specialization
Citations

This map shows the geographic impact of Heather D. Couture'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 Heather D. Couture with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather D. Couture more than expected).

Fields of papers citing papers by Heather D. Couture

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather D. Couture. 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 Heather D. Couture. The network helps show where Heather D. Couture may publish in the future.

Co-authorship network of co-authors of Heather D. Couture

This figure shows the co-authorship network connecting the top 25 collaborators of Heather D. Couture. A scholar is included among the top collaborators of Heather D. Couture 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 Heather D. Couture. Heather D. Couture is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 4
2 23
3 6
4
Towards Tracking the Emissions of Every Power Plant on the Planet
3
5 209
6 29
7 2

About Heather D. Couture

Heather D. Couture is a scholar working on Biophysics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 276 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Image Retrieval and Classification Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (22 citations), Biophysics (54 citations) and Artificial Intelligence (215 citations). Heather D. Couture has collaborated with scholars based in United States. Frequent co-authors include Marc Niethammer, Joseph Geradts, J. S. Marron, Charles M. Perou, Melissa A. Troester, Lindsay A. Williams, Sarah J. Nyante, Eboneé N. Butler, Nancy E. Thomas and J. S. Marron. Their work appears in journals such as Remote Sensing, Computerized Medical Imaging and Graphics and The Annals of Applied Statistics.

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.

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