Stacy D. O’Connor

1.8k citations
46 papers · 1.3k · h-index 21

Impact in

Papers in

Stacy D. O’Connor

41 papers receiving 1.3k citations

Peers

Stacy D. O’Connor
Comparison fields: 5 of 124
  • Health Informatics 67
  • Radiology, Nuclear Medicine and Imaging 512
  • Family Practice 32
  • Pulmonary and Respiratory Medicine 383
  • Health Information Management 36
Replace Christoph Wald with:
Christoph Wald United States
Mervyn D. Cohen United States
Tobias Heye Switzerland
John Mongan United States
Andrew Plumb United Kingdom
Katharina Martini Switzerland
Guillaume Chassagnon France
Simon Lennartz Germany
Owen J. O’Connor Ireland
Susan C. Harvey United States
Stacy D. O’Connor relative to Christoph Wald United States Christoph Wald's profile →
Citations per field
00.5×1.5×2.3×
Christoph Wald · 1×
Citations per year

Countries citing papers authored by Stacy D. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Stacy D. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stacy D. O’Connor. 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 Stacy D. O’Connor. The network helps show where Stacy D. O’Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside Stacy D. O’Connor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stacy D. O’Connor Line = papers co-authored together Stacy D. O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 2012101
3 200693
4 201887
5 201086
6 201366
7 201266
8 201964
9 200756
10 200953
11 201447
12 201443
13 200534
14 202032
15 201429
16 201927
17 201526
18 201825
19 200625
20 202124

About Stacy D. O’Connor

Stacy D. O’Connor is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Surgery, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (9 papers), Radiology practices and education (8 papers), Renal cell carcinoma treatment (5 papers), Radiation Dose and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Electronic Health Records Systems (4 papers), Medical Imaging and Analysis (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (67 citations), Radiology, Nuclear Medicine and Imaging (512 citations), Family Practice (32 citations), Pulmonary and Respiratory Medicine (383 citations) and Health Information Management (36 citations). Stacy D. O’Connor has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Perry J. Pickhardt, Ronald M. Summers, Jianhua Yao, Ramin Khorasani, Stuart G. Silverman, Peter M. Graffy, Alejandro Muñoz del Río, M. Raquel Oliva, David H. Kim and Ryan Zea. Their work appears in journals such as American Journal of Roentgenology, Radiology, Abdominal Radiology, Academic Radiology and Journal of Computer Assisted Tomography.

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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