Mary Rickard

1.4k citations
60 papers · 882 indexed · h-index 17
Topics
Global Cancer Incidence and Screening (28 papers)Digital Radiography and Breast Imaging (27 papers)AI in cancer detection (23 papers)
Journals
SHILAP Revista de lepidopterologíaBloodPsychological Medicine

In The Last Decade

Mary Rickard

54 papers receiving 848 citations

Peers

Mary Rickard
Comparison fields: 5 of 77
  • Oncology 378
  • Artificial Intelligence 359
  • Pulmonary and Respiratory Medicine 350
  • Radiology, Nuclear Medicine and Imaging 253
  • Cancer Research 196
Replace Cherie M. Kuzmiak with:
Cherie M. Kuzmiak United States
Todd E. Wilson United States
Ellen Shaw de Paredes United States
Linda J. Warren Burhenne Canada
Karin Leifland Sweden
M Wallis United Kingdom
Paula B. Gordon Canada
Lora D. Barke United States
Sofie Sebuødegård Norway
Sarah M. Friedewald United States
Mary Rickard relative to Cherie M. Kuzmiak United States Cherie M. Kuzmiak's profile →
Citations per field
00.5×1.5×
Cherie M. Kuzmiak · 1×
Citations per year

Countries citing papers authored by Mary Rickard

Since Specialization
Citations

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

Fields of papers citing papers by Mary Rickard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Rickard

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Rickard. A scholar is included among the top collaborators of Mary Rickard 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 Mary Rickard. Mary Rickard 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 1
3 3
4 7
5 17
6 1
7 1
8 17
9 60
10 4
11 8
12 16
13 0
14 13
15 108
16 62
17 1
18 5
19 12
20 1

About Mary Rickard

Mary Rickard is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 882 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (28 papers), Digital Radiography and Breast Imaging (27 papers) and AI in cancer detection (23 papers). The work is most often cited by research in Oncology (378 citations), Cancer Research (196 citations) and Artificial Intelligence (359 citations). Mary Rickard has collaborated with scholars based in Australia, United States and Nigeria. Frequent co-authors include Ann Poulos, Patrick Brennan, Donald McLean, Ramachandran Chandrasekhar, Y. Attikiouzel, Richard Taylor, Robert Heard, Roger Bourne, Andrew Field and Andrew C. Page. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Psychological Medicine.

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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