Matthew J. Thurley

848 total citations
33 papers, 585 citations indexed

About

Matthew J. Thurley is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Matthew J. Thurley has authored 33 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 17 papers in Mechanical Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Matthew J. Thurley's work include Mineral Processing and Grinding (16 papers), Image and Object Detection Techniques (13 papers) and Medical Image Segmentation Techniques (8 papers). Matthew J. Thurley is often cited by papers focused on Mineral Processing and Grinding (16 papers), Image and Object Detection Techniques (13 papers) and Medical Image Segmentation Techniques (8 papers). Matthew J. Thurley collaborates with scholars based in Sweden, Australia and United States. Matthew J. Thurley's co-authors include Johan E. Carlson, Olle Hagman, Tobias Andersson, Italo Onederra, Håkan Jönsson, Cris L. Luengo Hendriks, Erik Johansson, Charlotte Andersson, S.P.E. Forsmo and Matthias Wimmer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Powder Technology.

In The Last Decade

Matthew J. Thurley

32 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew J. Thurley Sweden 14 306 240 110 107 90 33 585
Wenjun Wang China 13 167 0.5× 92 0.4× 457 4.2× 69 0.6× 28 0.3× 41 630
Xiang Peng Canada 9 158 0.5× 57 0.2× 48 0.4× 45 0.4× 51 0.6× 24 372
Zhipeng Chen China 15 268 0.9× 113 0.5× 5 0.0× 40 0.4× 121 1.3× 62 598
Sutanu Bhowmick United States 9 111 0.4× 133 0.6× 743 6.8× 23 0.2× 99 1.1× 13 849
Thiago de Castro Martins Brazil 14 64 0.2× 58 0.2× 51 0.5× 110 1.0× 96 1.1× 41 470
Hyungchul Yoon South Korea 15 77 0.3× 422 1.8× 815 7.4× 53 0.5× 60 0.7× 43 1.1k
Yue Guo China 9 57 0.2× 475 2.0× 33 0.3× 90 0.8× 5 0.1× 25 766
Futao Ni China 7 157 0.5× 51 0.2× 513 4.7× 41 0.4× 48 0.5× 9 654

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
1.
Hendriks, Cris L. Luengo, et al.. (2020). Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions. SHILAP Revista de lepidopterología. 4(1). 108–126.
2.
Hendriks, Cris L. Luengo, et al.. (2019). Estimating the Gradient for Images with Missing Samples Using Elliptical Structuring Elements. 1 indexed citations
3.
Hendriks, Cris L. Luengo, et al.. (2017). Mathematical Morphology on Irregularly Sampled Data in One Dimension. SHILAP Revista de lepidopterología. 2(1). 1–24. 1 indexed citations
4.
Thurley, Matthew J., et al.. (2017). Application of laser scanning to measure fragmentation in underground mines. Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A. 1–8. 23 indexed citations
5.
Thurley, Matthew J., et al.. (2015). Automated measurement of sintering degree in optical microscopy through image analysis of particle joins. Pattern Recognition. 48(11). 3451–3465. 11 indexed citations
6.
Hagman, Olle, et al.. (2015). Recognition of boards using wood fingerprints based on a fusion of feature detection methods. Computers and Electronics in Agriculture. 111. 164–173. 11 indexed citations
7.
Thurley, Matthew J., et al.. (2015). Blast fragmentation measurement based on 3D imaging in sublevel caving draw-points and LHD buckets at LKAB Kiruna. Epubl LTU. 763–774. 1 indexed citations
8.
Thurley, Matthew J., et al.. (2014). Adaptive mathematical morphology – A survey of the field. Pattern Recognition Letters. 47. 18–28. 18 indexed citations
9.
Thurley, Matthew J.. (2014). Measuring the visible particles for automated online particle size distribution estimation. KTH Publication Database DiVA (KTH Royal Institute of Technology). 7 indexed citations
10.
Johansson, Erik, et al.. (2014). Wood fingerprint recognition using knot neighborhood K-plet descriptors. Wood Science and Technology. 49(1). 7–20. 6 indexed citations
11.
Thurley, Matthew J.. (2013). Automated Image Segmentation and Analysis of Rock Piles in an Open-Pit Mine. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8. 21 indexed citations
12.
Thurley, Matthew J., et al.. (2013). Adaptive morphology using tensor-based elliptical structuring elements. Pattern Recognition Letters. 34(12). 1416–1422. 24 indexed citations
13.
Thurley, Matthew J., et al.. (2011). A machine vision system for estimation of size distributions by weight of limestone particles. Minerals Engineering. 25(1). 38–46. 40 indexed citations
14.
Thurley, Matthew J., et al.. (2011). Automated image analysis of iron-ore pellet structure using optical microscopy. Minerals Engineering. 24(14). 1525–1531. 19 indexed citations
15.
Thurley, Matthew J.. (2009). Fragmentation size measurement using 3D surface imaging. 229–237. 3 indexed citations
16.
Andersson, Tobias & Matthew J. Thurley. (2008). Visibility Classification of Rocks in Piles. Epubl LTU. 207–213. 8 indexed citations
17.
Thurley, Matthew J., et al.. (2007). Identification and sizing of the entirely visible rocks from a 3D surface data segmentation of laboratory rock piles. Computer Vision and Image Understanding. 111(2). 170–178. 30 indexed citations
18.
Thurley, Matthew J., et al.. (2007). Pellet Size Estimation Using Spherical Fitting. Conference proceedings - IEEE Instrumentation/Measurement Technology Conference. 3835. 1–5. 4 indexed citations
19.
Thurley, Matthew J.. (2006). On-line 3D surface measurement of iron ore green pellets. Epubl LTU. 229–229. 7 indexed citations
20.
Thurley, Matthew J., et al.. (2004). Identifying, visualizing, and comparing regions in irregularly spaced 3D surface data. Computer Vision and Image Understanding. 98(2). 239–270. 31 indexed citations

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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