M. Brady

492 total citations
11 papers, 298 citations indexed

About

M. Brady is a scholar working on General Health Professions, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Brady has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in General Health Professions, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Brady's work include AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers) and School Health and Nursing Education (1 paper). M. Brady is often cited by papers focused on AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers) and School Health and Nursing Education (1 paper). M. Brady collaborates with scholars based in United Kingdom, United States and Australia. M. Brady's co-authors include Aaron H. Wolfson, Robert Futoran, Thomas F. Rocereto, Olga B. Ioffe, David E. Cohn, Robert S. Mannel, Marius George Linguraru, Kostas Marias, Ruth English and Julia A. Schnabel and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Chemical Theory and Computation and Journal of Epidemiology & Community Health.

In The Last Decade

M. Brady

10 papers receiving 284 citations

Peers

M. Brady
Comparison fields: 5 of 58
  • Obstetrics and Gynecology 164
  • Reproductive Medicine 102
  • General Health Professions 47
  • Pulmonary and Respiratory Medicine 45
  • Artificial Intelligence 38
Replace Y Zhang with:
Y Zhang China
Shiri Barbash‐Hazan Israel
Michael McCullough United States
Ashay Patel United States
Ricardo Sousa-Santos Portugal
Bader Alsaikhan Saudi Arabia
Olivier Morel France
Anda‐Petronela Radan Switzerland
Guy Shrem Canada
L Dwarakanath United Kingdom
Y Zhang China View profile →
Citations per field, relative to M. Brady
M. Brady · 1×
Citations per year, relative to M. Brady
M. Brady · 1×

Countries citing papers authored by M. Brady

Since Specialization
Citations

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

Fields of papers citing papers by M. Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Brady

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 1
3 10
4 169
5 32
6 38
7 1
8
The Availability of Human Tissue for Biomedical Research: The Report and Recommendations of the ECVAM Workshop 32.
17
9 16
10
Services relating to alcohol in indigenous communities: a report to the Office of Aboriginal and Torres Strait Islander Health Services
1
11 13

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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