K. Elizabeth Hawk

929 citations
18 papers · 569 indexed · h-index 10
Topics
Medical Imaging Techniques and Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Artificial Intelligence in Healthcare and Education (5 papers)

In The Last Decade

K. Elizabeth Hawk

18 papers receiving 553 citations

Peers

K. Elizabeth Hawk
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 329
  • Health Informatics 139
  • Artificial Intelligence 107
  • Biomedical Engineering 101
  • Pulmonary and Respiratory Medicine 58
Replace Taiki Nozaki with:
Taiki Nozaki Japan
Mariko Kawamura Japan
Pouria Rouzrokh United States
Morgan P. McBee United States
Bardia Khosravi United States
Jose Morey United States
Alanna Vial Australia
Merel Huisman Netherlands
Andrew Colucci United States
Tugba Akinci D’Antonoli Switzerland
K. Elizabeth Hawk relative to Taiki Nozaki Japan Taiki Nozaki's profile →
Citations per field
00.5×10×16.7×
Taiki Nozaki · 1×
Citations per year

Countries citing papers authored by K. Elizabeth Hawk

Since Specialization
Citations

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

Fields of papers citing papers by K. Elizabeth Hawk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Elizabeth Hawk. 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 K. Elizabeth Hawk. The network helps show where K. Elizabeth Hawk may publish in the future.

Co-authorship network of co-authors of K. Elizabeth Hawk

This figure shows the co-authorship network connecting the top 25 collaborators of K. Elizabeth Hawk. A scholar is included among the top collaborators of K. Elizabeth Hawk 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 K. Elizabeth Hawk. K. Elizabeth Hawk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 12
3 5
4 20
5 9
6 9
7 6
8 2
9 12
10 5
11 3
12 58
13 6
14 17
15 53
16 57
17 287
18 7

About K. Elizabeth Hawk

K. Elizabeth Hawk is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Artificial Intelligence in Healthcare and Education (5 papers). The work is most often cited by research in Health Informatics (139 citations), Radiology, Nuclear Medicine and Imaging (329 citations) and Health Information Management (23 citations). K. Elizabeth Hawk has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Geoffrey Currie, Eric Rohren, Ran Klein, Alanna Vial, Heike E. Daldrup‐Link, Lucia Baratto, Ashok J. Theruvath, Sergios Gatidis, Allison Pribnow and Rong Lü. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Magnetic Resonance Imaging and European Journal of Nuclear Medicine and Molecular Imaging.

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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