Nick E. Pears

2.2k citations
88 papers · 1.7k · h-index 23

Impact in

Papers in

    • Face recognition and analysis 32
    • Advanced Vision and Imaging 19
    • Advanced Image and Video Retrieval Techniques 17
    • Face and Expression Recognition 17
    • Human Pose and Action Recognition 14
    • Biometric Identification and Security 13

Nick E. Pears

87 papers receiving 1.6k citations

Peers

Nick E. Pears
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 1.3k
  • Human-Computer Interaction 127
  • Signal Processing 231
  • Media Technology 132
  • Computational Mechanics 218
Replace Jose Miguel Buenaposada with:
Jose Miguel Buenaposada Spain
Jing Xiao China
Sami Romdhani Switzerland
Thibaut Weise Switzerland
Gaile G. Gordon United States
Luciano Tavares da Silva Brazil
Paul Wohlhart Austria
Hailin Shi China
Sotiris Malassiotis Greece
Gabriele Fanelli Switzerland
Nick E. Pears relative to Jose Miguel Buenaposada Spain Jose Miguel Buenaposada's profile →
Citations per field
00.5×2×3×4.4×
Jose Miguel Buenaposada · 1×
Citations per year

Countries citing papers authored by Nick E. Pears

Since Specialization
Citations

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

Fields of papers citing papers by Nick E. Pears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 201997
3 200796
4 201788
5 201283
6 201183
7 200962
8 200251
9 200350
10 200944
11 200644
12 200943
13 200840
14
Face Recognition: A Comparison of Appearance-Based Approaches
200339
15 200539
16 200436
17 200235
18 200935
19 202434
20 200826

About Nick E. Pears

Nick E. Pears is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Aerospace Engineering and Computational Mechanics, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (32 papers), Advanced Vision and Imaging (19 papers), Advanced Image and Video Retrieval Techniques (17 papers), Face and Expression Recognition (17 papers), Robotics and Sensor-Based Localization (14 papers), Human Pose and Action Recognition (14 papers), Biometric Identification and Security (13 papers) and 3D Shape Modeling and Analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Human-Computer Interaction (127 citations), Signal Processing (231 citations), Media Technology (132 citations) and Computational Mechanics (218 citations). Nick E. Pears has collaborated with scholars based in United Kingdom, United Arab Emirates and Australia. Frequent co-authors include Jim Austin, Hongying Meng, Chris Bailey, Hang Dai, William A. P. Smith, Bojian Liang, Christian A. Duncan, Zezhi Chen, Greg L. Pearce and Peter Bunting. Their work appears in journals such as Pattern Recognition Letters, International Journal of Computer Vision, Image and Vision Computing, The Anatomical Record and IEEE Pervasive Computing.

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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