Matthew J. Thurley

848 citations
33 papers · 585 indexed · h-index 14
Topics
Mineral Processing and Grinding (16 papers)Image and Object Detection Techniques (13 papers)Medical Image Segmentation Techniques (8 papers)
Journals
SHILAP Revista de lepidopterologíaPattern RecognitionPowder Technology

In The Last Decade

Matthew J. Thurley

32 papers receiving 553 citations

Peers

Matthew J. Thurley
Comparison fields: 5 of 58
  • Mechanical Engineering 306
  • Computer Vision and Pattern Recognition 240
  • Civil and Structural Engineering 110
  • Industrial and Manufacturing Engineering 107
  • Mechanics of Materials 90
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Countries citing papers authored by Matthew J. Thurley

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Thurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Thurley. 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 Matthew J. Thurley. The network helps show where Matthew J. Thurley may publish in the future.

Co-authorship network of co-authors of Matthew J. Thurley

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Thurley. A scholar is included among the top collaborators of Matthew J. Thurley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Thurley. Matthew J. Thurley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Estimating the Gradient for Images with Missing Samples Using Elliptical Structuring Elements
1
3 23
4 1
5 11
6 11
7
Blast fragmentation measurement based on 3D imaging in sublevel caving draw-points and LHD buckets at LKAB Kiruna
1
8 18
9 6
10 21
11 1
12 31
13 40
14 19
15 12
16
Fragmentation size measurement using 3D surface imaging
3
17 8
18 30
19 4
20 7

About Matthew J. Thurley

Matthew J. Thurley is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 33 papers that have together received 585 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (16 papers), Image and Object Detection Techniques (13 papers) and Medical Image Segmentation Techniques (8 papers). The work is most often cited by research in Geology (67 citations), Computer Vision and Pattern Recognition (240 citations) and Industrial and Manufacturing Engineering (107 citations). Matthew J. Thurley has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Johan E. Carlson, Tobias Andersson, Olle Hagman, Italo Onederra, Håkan Jönsson, Cris L. Luengo Hendriks, S.P.E. Forsmo, Erik Johansson, Charlotte Andersson and Matthias Wimmer. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Powder Technology.

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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