Nick Pears

2.2k citations
68 papers · 1.3k · h-index 21

Impact in

Papers in

Nick Pears

67 papers receiving 1.2k citations

Peers

Nick Pears
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 1.0k
  • Human-Computer Interaction 97
  • Signal Processing 172
  • Media Technology 114
  • Geology 48
Replace G. Gordon with:
G. Gordon United States
Peter Tu United States
Sotiris Malassiotis Greece
Thibaut Weise Switzerland
Luciano Silva Brazil
Hailin Shi China
Olga Regina Pereira Bellon Brazil
S. Kagami Japan
Jing Xiao China
Nick Pears relative to G. Gordon United States G. Gordon's profile →
Citations per field
00.5×10×15×19.5×
G. Gordon · 1×
Citations per year

Countries citing papers authored by Nick Pears

Since Specialization
Citations

This map shows the geographic impact of Nick 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 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 Pears more than expected).

Fields of papers citing papers by Nick Pears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 200780
3 201177
4 201976
5 201272
6 201764
7 200958
8 200246
9 200941
10 200341
11 200939
12
Face Recognition: A Comparison of Appearance-Based Approaches
200333
13 200633
14 200833
15 200230
16 200529
17 200928
18 202026
19 201324
20 200821

About Nick Pears

Nick Pears is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Computational Mechanics and Media Technology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face recognition and analysis (25 papers), Advanced Image and Video Retrieval Techniques (15 papers), Face and Expression Recognition (14 papers), Advanced Vision and Imaging (14 papers), Robotics and Sensor-Based Localization (13 papers), Biometric Identification and Security (12 papers), Human Pose and Action Recognition (11 papers) and 3D Shape Modeling and Analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Human-Computer Interaction (97 citations), Signal Processing (172 citations), Media Technology (114 citations) and Geology (48 citations). Nick Pears has collaborated with scholars based in United Kingdom, United Arab Emirates and Canada. Frequent co-authors include Jim Austin, Hongying Meng, Bojian Liang, Chris Bailey, Hang Dai, William A. P. Smith, Christian A. Duncan, Zezhi Chen, Greg Pearce and Yonghuai Liu. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition Letters, Image and Vision Computing, The Anatomical Record and Human Vaccines & Immunotherapeutics.

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.

Explore authors with similar magnitude of impact