Brian E. Nett

1.5k citations
50 papers · 1.2k · h-index 16

Impact in

Papers in

Brian E. Nett

50 papers receiving 1.2k citations

Peers

Brian E. Nett
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 834
  • Radiation 262
  • Mathematical Physics 136
  • Biomedical Engineering 421
  • Computer Vision and Pattern Recognition 233
Replace Jean‐Baptiste Thibault with:
Jean‐Baptiste Thibault United States
Ludwig Ritschl Germany
Junguo Bian United States
Dianlin Hu China
Hewei Gao China
Seungryong Cho South Korea
Marcel Beister Germany
M. Graß Germany
Jed D. Pack United States
Simon Rit France
Brian E. Nett relative to Jean‐Baptiste Thibault United States Jean‐Baptiste Thibault's profile →
Citations per field
00.5×2×2.7×
Jean‐Baptiste Thibault · 1×
Citations per year

Countries citing papers authored by Brian E. Nett

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Nett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Nett. 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 Brian E. Nett. The network helps show where Brian E. Nett may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009241
2 2008121
3 2013114
4 200893
5 200492
6 201172
7 202272
8 200944
9 201041
10 202138
11 200931
12 200829
13 200628
14 200527
15 201620
16 200616
17 201115
18 201014
19 200713
20 200711

About Brian E. Nett

Brian E. Nett is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (35 papers), Advanced X-ray and CT Imaging (23 papers), Radiation Dose and Imaging (9 papers), Cardiac Imaging and Diagnostics (8 papers), Sparse and Compressive Sensing Techniques (5 papers), Advanced Radiotherapy Techniques (5 papers), Image and Signal Denoising Methods (3 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (834 citations), Radiation (262 citations), Mathematical Physics (136 citations), Biomedical Engineering (421 citations) and Computer Vision and Pattern Recognition (233 citations). Brian E. Nett has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Guang‐Hong Chen, Shuai Leng, Joseph N. Zambelli, Tingliang Zhuang, Ranjini Tolakanahalli, Jiang Hsieh, Jie Tang, Howard A. Rowley, Timothy P. Szczykutowicz and Charles A. Bouman. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Academic Radiology, Journal of X-Ray Science and Technology and Operative Neurosurgery.

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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