Paul Murray

1.8k citations
95 papers · 1.1k · h-index 17

Impact in

Papers in

Paul Murray

83 papers receiving 1.1k citations

Peers

Paul Murray
Comparison fields: 5 of 133
  • Media Technology 181
  • Analytical Chemistry 163
  • Conservation 43
  • Computer Vision and Pattern Recognition 230
  • Industrial and Manufacturing Engineering 89
Replace Fernando Puente León with:
Fernando Puente León Germany
Nikolay Petkov Bulgaria
Rongsheng Lu China
Alexander Neubeck Germany
Yijun Yan United Kingdom
Yasuhiro Mukaigawa Japan
P. Kruizinga Netherlands
Rikke Gade Denmark
Oleg Sergiyenko Mexico
Alberto S. Aguado United Kingdom
Paul Murray relative to Fernando Puente León Germany Fernando Puente León's profile →
Citations per field
00.5×10.8×
Fernando Puente León · 1×
Citations per year

Countries citing papers authored by Paul Murray

Since Specialization
Citations

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

Fields of papers citing papers by Paul Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2 2017114
3 201797
4 202090
5 200453
6 202150
7 202341
8 201628
9 201525
10 201924
11 201724
12 201622
13 202121
14
Performance of automated project progress tracking with 3D Data fusion
200820
15 202220
16 201617
17 201916
18 202016
19 202015
20 201115

About Paul Murray

Paul Murray is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Analytical Chemistry, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Spectroscopy and Chemometric Analyses (13 papers), Industrial Vision Systems and Defect Detection (11 papers), Advanced Image and Video Retrieval Techniques (8 papers), Infrastructure Maintenance and Monitoring (8 papers), Image and Object Detection Techniques (8 papers), Advanced Neural Network Applications (7 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Media Technology (181 citations), Analytical Chemistry (163 citations), Conservation (43 citations), Computer Vision and Pattern Recognition (230 citations) and Industrial and Manufacturing Engineering (89 citations). Paul Murray has collaborated with scholars based in United Kingdom, United States and Vietnam. Frequent co-authors include Stephen Marshall, Jinchang Ren, Evgenia Yakushina, Jaime Zabalza, Graeme West, James J. Troy, William Ion, Mark W. Spong, Dušan M. Stipanović and Erick J. Rodríguez-Seda. Their work appears in journals such as Nuclear Engineering and Design, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Sensors Journal, Cognitive Computation 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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