Brian Nutter

835 citations
71 papers · 628 · h-index 15

Impact in

Papers in

Brian Nutter

63 papers receiving 598 citations

Peers

Brian Nutter
Comparison fields: 5 of 106
  • Structural Biology 23
  • Computer Vision and Pattern Recognition 211
  • Neurology 70
  • Artificial Intelligence 178
  • Radiation 38
Replace Amir Tahmasbi with:
Amir Tahmasbi Iran
Mingzhe Hu China
Saurav Basu United States
Jingyan Wang China
Travis Johnston United States
Agustin I. Ifarraguerri United States
Zia-ur Rahman United States
Yiyin Jin United States
Niklas Köhler Germany
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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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 201548
3 201241
4 201836
5 200931
6 200528
7 200622
8 201522
9 200521
10 200421
11 201020
12 202020
13 200419
14 200416
15 200615
16 200713
17 198811
18 201510
19 201810
20 200510

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 71 papers that have together received 628 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (14 papers), Image and Signal Denoising Methods (13 papers), AI in cancer detection (11 papers), Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (8 papers), Functional Brain Connectivity Studies (7 papers), Advanced MRI Techniques and Applications (7 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Structural Biology (23 citations), Computer Vision and Pattern Recognition (211 citations), Neurology (70 citations), Artificial Intelligence (178 citations) and Radiation (38 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, Tanja Karp, Suman K. Mitra, Jason E. Hill and Ximena E. Bernal. 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, Animal Behaviour and IEEE Access.

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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