Michael S. Elliott

407 total citations
5 papers, 152 citations indexed

About

Michael S. Elliott is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael S. Elliott has authored 5 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Michael S. Elliott's work include AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Brain Tumor Detection and Classification (1 paper). Michael S. Elliott is often cited by papers focused on AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Brain Tumor Detection and Classification (1 paper). Michael S. Elliott collaborates with scholars based in Australia, United Kingdom and Canada. Michael S. Elliott's co-authors include David Dvořák, Kevan E. Dettelbach, Curtis P. Berlinguette, Fraser G. L. Parlane, Mehrdad Mokhtari, Benjamin P. MacLeod, Michael B. Rooney, Davis J. McCarthy, Helen Frazer and Fengbei Liu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Michael S. Elliott

4 papers receiving 148 citations

Peers

Michael S. Elliott
Comparison fields: 5 of 61
  • Materials Chemistry 75
  • Electrical and Electronic Engineering 36
  • Biomedical Engineering 36
  • Artificial Intelligence 26
  • Computational Theory and Mathematics 15
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Citations per field, relative to Michael S. Elliott
Michael S. Elliott · 1×
Citations per year, relative to Michael S. Elliott
Michael S. Elliott · 1×

Countries citing papers authored by Michael S. Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Elliott. 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 Michael S. Elliott. The network helps show where Michael S. Elliott may publish in the future.

Co-authorship network of co-authors of Michael S. Elliott

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

All Works

5 of 5 papers shown
# Work Indexed citations
1 2
2 5
3 17
4 127
5
Understanding the soft rolling skins concept.
1

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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