Randall A. Hawkins

9.7k citations
132 papers · 6.8k indexed · 1 hit paper · h-index 51

Randall A. Hawkins

131 papers receiving 6.6k citations

Hit Papers

A Deep Learning Model to Predict a Diagnosis of Alzheimer...3792018202620202023100200300

Peers

Randall A. Hawkins
Comparison fields: 5 of 146
  • Radiology, Nuclear Medicine and Imaging 3.1k
  • Neurology 1.4k
  • Cancer Research 1.1k
  • Otorhinolaryngology 211
  • Transplantation 121
Replace Roland Hustinx with:
Roland Hustinx Belgium
Carlo Bartolozzi Italy
Jan Pruim Netherlands
Nagara Tamaki Japan
Dominique Delbeke United States
David J. Terris United States
Mauro Papotti Italy
Jamshed Bomanji United Kingdom
Walter Weder Switzerland
Louis S. Constine United States
Randall A. Hawkins relative to Roland Hustinx Belgium Roland Hustinx's profile →
Citations per field
00.5×3.8×
Roland Hustinx · 1×
Citations per year

Countries citing papers authored by Randall A. Hawkins

Since Specialization
Citations

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

Fields of papers citing papers by Randall A. Hawkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall A. Hawkins. 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 Randall A. Hawkins. The network helps show where Randall A. Hawkins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Randall A. Hawkins, 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 Randall A. Hawkins Line = papers co-authored together Randall A. Hawkins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20180
3 20187
4 201714
5 201624
6 201662
7 20153
8 201426
9 20144
10 200920
11 200352
12 199459
13 199433
14 199428
15 19944
16 199390
17 199255
18 1992162
19 1992150
20
Hepatic hemangiomas: evaluation by magnetic resonance imaging and technetium-99m red blood cell scintigraphy.
198711

About Randall A. Hawkins

Randall A. Hawkins is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cancer Research, having authored 132 papers that have together received 6.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (53 papers), Neuroblastoma Research and Treatments (29 papers), Cancer, Hypoxia, and Metabolism (24 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced MRI Techniques and Applications (18 papers), Radiopharmaceutical Chemistry and Applications (16 papers), Glioma Diagnosis and Treatment (12 papers) and Adrenal and Paraganglionic Tumors (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.1k citations), Neurology (1.4k citations) and Cancer Research (1.1k citations). Randall A. Hawkins has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael E. Phelps, Sung‐Cheng Huang, Katherine K. Matthay, Carl K. Hoh, Michael E. Phelps, Yong Choi, Magnus Dahlbom, Benjamin L. Franc, John P. Huberty and Youngho Seo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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