Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
20032.4k citationsTimothy E.J. Behrens, Mark W. Woolrich et al.Magnetic Resonance in Medicineprofile →
Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex
2004539 citationsHeidi Johansen‐Berg, Timothy E.J. Behrens et al.Proceedings of the National Academy of Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of J 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 J 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 J M Brady more than expected).
This network shows the impact of papers produced by J 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 J M Brady. The network helps show where J M Brady may publish in the future.
Co-authorship network of co-authors of J M Brady
This figure shows the co-authorship network connecting the top 25 collaborators of J M Brady.
A scholar is included among the top collaborators of J 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 J M Brady. J M Brady is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Noble, J. Alison, et al.. (2007). Adaptive non-rigid registration of real time 3D ultrasound to cardiovascular MR images. Lecture notes in computer science. 50–61.14 indexed citations
Jirotka, Marina, Andrew Simpson, Ralph Highnam, et al.. (2005). Digital Mammography: A World without Film?. Methods of Information in Medicine. 44(2). 168–171.7 indexed citations
Johansen‐Berg, Heidi, Timothy E.J. Behrens, Matthew D. Robson, et al.. (2004). Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proceedings of the National Academy of Sciences. 101(36). 13335–13340.539 indexed citations breakdown →
8.
Behrens, Timothy E.J., Mark W. Woolrich, Mark Jenkinson, et al.. (2003). Characterization and propagation of uncertainty in diffusion‐weighted MR imaging. Magnetic Resonance in Medicine. 50(5). 1077–1088.2444 indexed citations breakdown →
Highnam, Ralph, J M Brady, & Ruth English. (2001). Simulating disease in mammography. 727–731.2 indexed citations
11.
Taylor, Chris, et al.. (1997). The detection of stellate lesions in digital mammography. Research Explorer (The University of Manchester).6 indexed citations
12.
Highnam, Ralph, J M Brady, & B. J. Shepstone. (1996). Removing the anti-scatter grid in mammography. 1119. 459–462.1 indexed citations
13.
Highnam, Ralph, J M Brady, & B. J. Shepstone. (1996). A quantitative feature to aid diagnosis in mammography. 1119. 201–206.4 indexed citations
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.