Brian Nutter

835 citations
69 papers · 565 · h-index 14

Impact in

Papers in

Brian Nutter

62 papers receiving 538 citations

Peers

Brian Nutter
Comparison fields: 5 of 103
  • Structural Biology 21
  • Computer Vision and Pattern Recognition 183
  • Neurology 64
  • Artificial Intelligence 151
  • Radiation 36
Replace Mingzhe Hu with:
Mingzhe Hu China
Agustin I. Ifarraguerri United States
Travis Johnston United States
Roy R. Lederman United States
Madhur Srivastava United States
Ruizhi Cao China
Voichiţa Maxim France
Hidenori Itoh Japan
Yiyin Jin United States
Brian Nutter relative to Mingzhe Hu China Mingzhe Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Nutter

Since Specialization
Citations

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

Fields of papers citing papers by Brian Nutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 201545
3 201239
4 201836
5 200526
6 200925
7 200622
8 201521
9 200419
10 202019
11 201016
12 200414
13 200514
14 200414
15 200713
16 200613
17 200510
18 198810
19 202010
20 20159

About Brian Nutter

Brian Nutter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 69 papers that have together received 565 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (13 papers), Advanced Data Compression Techniques (13 papers), AI in cancer detection (11 papers), Medical Image Segmentation Techniques (7 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (7 papers), Image Retrieval and Classification Techniques (7 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Structural Biology (21 citations), Computer Vision and Pattern Recognition (183 citations), Neurology (64 citations), Artificial Intelligence (151 citations) and Radiation (36 citations). Brian Nutter has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sunanda Mitra, L. Rodney Long, Sameer Antani, S. Mitra, Shuyu Yang, Daron Ferris, Ximena E. Bernal, Tanja Karp, Suman K. Mitra and Thomas Arnold. Their work appears in journals such as Journal of Synchrotron Radiation, Journal of Lower Genital Tract Disease, IEEE Journal of Selected Topics in Signal Processing, Solid-State Electronics and Animal Behaviour.

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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