James Ferryman

3.4k citations
112 papers · 2.3k indexed · 1 hit paper · h-index 26

James Ferryman

111 papers receiving 2.2k citations

Hit Papers

A survey of human motion analysis using depth imagery270201320262017202150100150200250

Peers

James Ferryman
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 1.8k
  • Signal Processing 289
  • Human-Computer Interaction 118
  • Artificial Intelligence 661
  • Media Technology 108
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Citations per field
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Citations per year

Countries citing papers authored by James Ferryman

Since Specialization
Citations

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

Fields of papers citing papers by James Ferryman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20239
3 20213
4 20172
5 20174
6 20167
7 20151
8 20158
9 201418
10 20149
11 201311
12 201083
13 20103
14 2009335
15
Proceedings of the thirteenth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance
200932
16 200915
17 20062
18
An Integrated Vision System for Aircraft Activity Monitoring
20053
19
LEARNING 3D OBJECT-CENTRED APPEARANCE MODELS FOR TRACKING
19993
20
VEHICLE TRACKING WITH APPLICATIONS TO COLLISION ALERT
19973

About James Ferryman

James Ferryman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Ocean Engineering and Media Technology, having authored 112 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (57 papers), Anomaly Detection Techniques and Applications (35 papers), Human Pose and Action Recognition (25 papers), Advanced Vision and Imaging (19 papers), Biometric Identification and Security (18 papers), Infrared Target Detection Methodologies (12 papers), Remote Sensing and LiDAR Applications (8 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (289 citations), Human-Computer Interaction (118 citations), Artificial Intelligence (661 citations) and Media Technology (108 citations). James Ferryman has collaborated with scholars based in United Kingdom, Austria and France. Frequent co-authors include Ali Shahrokni, Lulu Chen, Wei Hong, A. D. Worrall, Luis Patino, Stephen J. Maybank, David P. Young, Tahir Nawaz, Peter Wild and G. D. Sullivan. Their work appears in journals such as Pattern Recognition Letters, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Signal Processing Magazine and Knowledge-Based Systems.

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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