Brandon K.K. Fields

1.1k citations
40 papers · 610 · h-index 15

Impact in

Papers in

Brandon K.K. Fields

38 papers receiving 600 citations

Peers

Brandon K.K. Fields
Comparison fields: 5 of 103
  • Health Informatics 19
  • Animal Science and Zoology 113
  • Radiology, Nuclear Medicine and Imaging 212
  • Small Animals 41
  • Critical Care and Intensive Care Medicine 23
Replace Fengting Yu with:
Fengting Yu China
Mehrdad Bakhshayesh Karam Iran
Kate English United Kingdom
Jonathan A. Abbott United States
Fang Duan China
B Schlosser Germany
Naoyuki TAKEMURA Japan
Wendy A. Ware United States
B. Knight United Kingdom
Brandon K.K. Fields relative to Fengting Yu China Fengting Yu's profile →
Citations per field
00.5×6.3×
Fengting Yu · 1×
Citations per year

Countries citing papers authored by Brandon K.K. Fields

Since Specialization
Citations

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

Fields of papers citing papers by Brandon K.K. Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 202168
3 200255
4 202042
5 201441
6 202038
7 202030
8 202129
9 201821
10 202019
11 202019
12 201917
13 202116
14 202015
15 202315
16 201212
17 201512
18 202111
19 201810
20 20248

About Brandon K.K. Fields

Brandon K.K. Fields is a scholar working on Radiology, Nuclear Medicine and Imaging, Animal Science and Zoology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 610 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Meat and Animal Product Quality (11 papers), Animal Nutrition and Physiology (6 papers), COVID-19 and healthcare impacts (6 papers), Animal Behavior and Welfare Studies (5 papers), Medical Imaging Techniques and Applications (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Health Informatics (19 citations), Animal Science and Zoology (113 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Small Animals (41 citations) and Critical Care and Intensive Care Medicine (23 citations). Brandon K.K. Fields has collaborated with scholars based in United States, Italy and Iran. Frequent co-authors include Natalie L. Demirjian, Ali Gholamrezanezhad, George R. Matcuk, Steven Cen, Jordan S. Gross, Dakshesh B. Patel, Bino Varghese, Bhushan Desai, Matt Skalski and Anderanik Tomasian. Their work appears in journals such as Journal of Animal Science, Skeletal Radiology, European Radiology, Meat Science and Radiology Artificial Intelligence.

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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