Stephanie Robertson

2.5k citations
28 papers · 1.1k indexed · h-index 14
Topics
Breast Cancer Treatment Studies (10 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)AI in cancer detection (7 papers)

In The Last Decade

Stephanie Robertson

25 papers receiving 1.0k citations

Peers

Stephanie Robertson
Comparison fields: 5 of 107
  • Molecular Biology 430
  • Oncology 408
  • Artificial Intelligence 298
  • Radiology, Nuclear Medicine and Imaging 296
  • Cancer Research 195
Replace Jeanne Shen with:
Jeanne Shen United States
Niklas Rindtorff Germany
Jan H. Rüschoff Switzerland
Tae Hyun Hwang United States
James M. Dolezal United States
Bing Ren United States
Lucy Yates United Kingdom
Santiago González Spain
Catherine Park United States
Rachel L. Stewart United States
Stephanie Robertson relative to Jeanne Shen United States Jeanne Shen's profile →
Citations per field
00.5×1.5×
Jeanne Shen · 1×
Citations per year

Countries citing papers authored by Stephanie Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie Robertson. 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 Stephanie Robertson. The network helps show where Stephanie Robertson may publish in the future.

Co-authorship network of co-authors of Stephanie Robertson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 4
5 5
6 4
7 1
8 4
9 1
10 125
11 17
12 31
13 35
14 21
15 204
16 15
17 22
18 30
19 34
20 336

About Stephanie Robertson

Stephanie Robertson is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (37 citations), Aging (36 citations) and Oncology (408 citations). Stephanie Robertson has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Johan Hartman, Hossein Azizpour, Kevin Smith, Mattias Rantalainen, Balázs Ács, Carol Prives, Charles J. Di Como, Kellie Whittaker, Lori S. Friedman and Lynn Young. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

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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