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.
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
This map shows the geographic impact of Hugh Harvey'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 Hugh Harvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Harvey more than expected).
This network shows the impact of papers produced by Hugh Harvey. 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 Hugh Harvey. The network helps show where Hugh Harvey may publish in the future.
Co-authorship network of co-authors of Hugh Harvey
This figure shows the co-authorship network connecting the top 25 collaborators of Hugh Harvey.
A scholar is included among the top collaborators of Hugh Harvey 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 Hugh Harvey. Hugh Harvey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Willemink, Martin J., Jie Wu, Dominik Fleischmann, et al.. (2020). Preparing Medical Imaging Data for Machine Learning. Radiology. 295(1). 4–15.553 indexed citations breakdown →
Gertsvolf, Marina, et al.. (2002). Enabling C and L Band ULH Transmission by Mitigating Raman Pump FWM. European Conference on Optical Communication. 3. 1–2.1 indexed citations
Withrow, Stephen J., et al.. (1988). Canine primary renal neoplasms: a retrospective review of 54 cases. Journal of the American Animal Hospital Association.40 indexed citations
10.
Caywood, D. D., Jeffrey S. Klausner, Stephen J. Withrow, et al.. (1988). Pancreatic insulin-secreting neoplasma: clinical, diagnostic, and prognostic features in 73 dogs. Journal of the American Animal Hospital Association. 24(5). 577–584.53 indexed citations
11.
Flanders, James A., et al.. (1988). Salivary gland tumors in dogs and cats: a literature and case review. Journal of the American Animal Hospital Association.40 indexed citations
12.
Harvey, Hugh, et al.. (1987). Owner satisfaction with limb amputation in dogs and cats. Journal of the American Animal Hospital Association.37 indexed citations
Harvey, Hugh, et al.. (1982). A gastropexy technique for permanent fixation of the pyloric antrum [Gastric volvulus, dogs].. Journal of the American Animal Hospital Association.3 indexed citations
15.
Hayes, Audrey A., et al.. (1980). Combined modality therapy in the treatment of solid tumors in cats.. Journal of the American Animal Hospital Association. 16(5). 719–722.7 indexed citations
Brown, Nancy O., Amiya K. Patnaik, Samantha Mooney, et al.. (1978). Soft Tissue Sarcomas in the Cat. Journal of the American Veterinary Medical Association. 173(6). 744–749.29 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.