Bradley Moore Davis

1.3k citations
18 papers · 618 indexed · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (3 papers)Medical Image Segmentation Techniques (3 papers)Advanced Radiotherapy Techniques (3 papers)

In The Last Decade

Bradley Moore Davis

17 papers receiving 595 citations

Peers

Bradley Moore Davis
Comparison fields: 5 of 118
  • Physiology 305
  • Pulmonary and Respiratory Medicine 238
  • Immunology and Allergy 72
  • Electrical and Electronic Engineering 64
  • Radiology, Nuclear Medicine and Imaging 62
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Ogawa Japan
Steven T. Haworth United States
Andrew Chen United States
Saito Japan
Martin L. Hopp United States
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Countries citing papers authored by Bradley Moore Davis

Since Specialization
Citations

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

Fields of papers citing papers by Bradley Moore Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley Moore Davis. 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 Bradley Moore Davis. The network helps show where Bradley Moore Davis may publish in the future.

Co-authorship network of co-authors of Bradley Moore Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley Moore Davis. A scholar is included among the top collaborators of Bradley Moore Davis 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 Bradley Moore Davis. Bradley Moore Davis 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 1
3 0
4 9
5 17
6 60
7 318
8 53
9 8
10
Optimization of Army-Navy/Portable Special Search (AN/PSS)-14 Operator Training
2
11 17
12 6
13 1
14 1
15 8
16 96
17
Towards 2000: a new age in DVT prophylaxis.
2
18
An introduction to Althesin (CT 1341).
18

About Bradley Moore Davis

Bradley Moore Davis is a scholar working on Metals and Alloys, Radiation and Internal Medicine, having authored 18 papers that have together received 618 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Immunology and Allergy (72 citations), Physiology (305 citations) and Pulmonary and Respiratory Medicine (238 citations). Bradley Moore Davis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Don Cockcroft, Donald W. Cockcroft, Thomas G. Brown, Sarang Joshi, Charlotte Ling, Guido Gerig, Ellen Yorke, John L. Humm, K. Rosenzweig and Agung Hertanto. Their work appears in journals such as Journal of Allergy and Clinical Immunology, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

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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