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.
A General Natural-language Text Processor for Clinical Radiology
1994578 citationsPhilip O. Alderson, John H. M. Austin et al.profile →
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
2020244 citationsSivaramakrishnan Rajaraman, Jenifer Siegelman et al.PubMed Centralprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Philip O. Alderson
Since
Specialization
Citations
This map shows the geographic impact of Philip O. Alderson'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 Philip O. Alderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip O. Alderson more than expected).
Fields of papers citing papers by Philip O. Alderson
This network shows the impact of papers produced by Philip O. Alderson. 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 Philip O. Alderson. The network helps show where Philip O. Alderson may publish in the future.
Co-authorship network of co-authors of Philip O. Alderson
This figure shows the co-authorship network connecting the top 25 collaborators of Philip O. Alderson.
A scholar is included among the top collaborators of Philip O. Alderson 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 Philip O. Alderson. Philip O. Alderson 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
1.
Rajaraman, Sivaramakrishnan, et al.. (2020). Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. PubMed Central.244 indexed citations breakdown →
Cohen, Zohara A., Gerard A. Ateshian, S. D. Kwak, et al.. (1997). Knee joint cartilage topography, thickness and contact areas: Validation of measurements from MRI. 35. 45–46.3 indexed citations
Fawwaz, Rashid A., JOEL M. ROSEN, Mark A. Hardy, et al.. (1985). Immunoreactivity and biodistribution of indium-111-labeled monoclonal antibody to a human high molecular weight-melanoma associated antigen.. PubMed. 26(5). 488–92.33 indexed citations
11.
Esser, Peter D., David W. Seldin, Andrew Nichols, & Philip O. Alderson. (1982). Spatial calibration of digital scintigraphic images. Radiology.6 indexed citations
12.
Maurer, Alan H., David C. P. Chen, Edwaldo E. Camargo, et al.. (1981). Utility of three-phase skeletal scintigraphy in suspected osteomyelitis: concise communication.. PubMed. 22(11). 941–9.99 indexed citations
Alderson, Philip O., et al.. (1980). Detection of pulmonary aspiration in infants and children with respiratory disease: concise communication.. PubMed. 21(4). 314–8.32 indexed citations
15.
Biello, Daniel R., et al.. (1979). Interpretation of indeterminate lung scintigrams. [/sup 99m/Tc, /sup 133/Xe]. Radiology.
Bradley, William P., Philip O. Alderson, W.C. Eckelman, Robert Hamilton, & Joseph F. Weiss. (1978). Decreased tumor uptake of gallium-67 in animals after whole-body irradiation.. PubMed. 19(2). 204–9.38 indexed citations
18.
Hamilton, Robert G. & Philip O. Alderson. (1977). A comparative evaluation of techniques for rapid and efficient in vivo labeling of red cells with [99mTc] pertechnetate.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 18(10). 1010–3.37 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.