N.M. Allinson

4.0k citations
172 papers · 3.0k · h-index 26

Impact in

    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Neural Network Applications
    • Medical Image Segmentation Techniques
  • Neurology top 2%
    • Brain Tumor Detection and Classification

Papers in

N.M. Allinson

159 papers receiving 2.8k citations

Peers

N.M. Allinson
Comparison fields: 5 of 136
  • Computer Vision and Pattern Recognition 1.5k
  • Neurology 380
  • Radiation 348
  • Media Technology 244
  • Signal Processing 275
Replace Hans Peter Graf with:
Hans Peter Graf United States
Yongyi Yang United States
Yongbing Zhang China
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Abdul Ahad S. Awwal United States
Alain Horé Canada
Karol Gregor United States
Jiliu Zhou China
Steven K. Rogers United States
Yong Man Ro South Korea
N.M. Allinson relative to Hans Peter Graf United States Hans Peter Graf's profile →
Citations per field
00.5×5×10.6×
Hans Peter Graf · 1×
Citations per year

Countries citing papers authored by N.M. Allinson

Since Specialization
Citations

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

Fields of papers citing papers by N.M. Allinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.M. Allinson. 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 N.M. Allinson. The network helps show where N.M. Allinson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998494
2 2016252
3 2008223
4 2018184
5 2015123
6 2019118
7 200197
8 199461
9 200253
10 199553
11 201850
12 200240
13 201435
14 200834
15 200134
16 201631
17 199030
18 200629
19 199429
20 198828

About N.M. Allinson

N.M. Allinson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiation and Nuclear and High Energy Physics, having authored 172 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (43 papers), CCD and CMOS Imaging Sensors (23 papers), Face and Expression Recognition (19 papers), Particle Detector Development and Performance (19 papers), Blind Source Separation Techniques (15 papers), Radiation Detection and Scintillator Technologies (14 papers), Radiation Therapy and Dosimetry (14 papers) and Image Retrieval and Classification Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Neurology (380 citations), Radiation (348 citations), Media Technology (244 citations) and Signal Processing (275 citations). N.M. Allinson has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Daniel B. Graham, Hujun Yin, Jing Li, Xujiong Ye, Tryphon Lambrou, Mohammadreza Soltaninejad, Philip Evans, Guang Yang, Gavin Poludniowski and Timothy L. Jones. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Electronics Letters, Physics in Medicine and Biology and Neurocomputing.

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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