Matthew R. Scott

5.1k total citations · 2 hit papers
47 papers, 2.2k citations indexed

About

Matthew R. Scott is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Matthew R. Scott has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Matthew R. Scott's work include Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (8 papers) and Functional Brain Connectivity Studies (8 papers). Matthew R. Scott is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Dementia and Cognitive Impairment Research (8 papers) and Functional Brain Connectivity Studies (8 papers). Matthew R. Scott collaborates with scholars based in United States, China and Australia. Matthew R. Scott's co-authors include Weilin Huang, Xun Wang, Xintong Han, Yilei Xiong, Xiaojun Hu, Xintong Han, Haozhi Zhang, Zhi Tian, Linjie Xing and Yu Gao and has published in prestigious journals such as Circulation, Nature Communications and NeuroImage.

In The Last Decade

Matthew R. Scott

45 papers receiving 2.1k citations

Hit Papers

Multi-Similarity Loss With General Pair Weighting for Dee... 2019 2026 2021 2023 2019 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
    2019 493 citations Xun Wang, Xintong Han et al. profile →
  2. Deformable Siamese Attention Networks for Visual Object Tracking
    2020 312 citations Yilei Xiong, Weilin Huang et al. profile →

Peers

Matthew R. Scott
Jesse S. Jin Australia
Saurabh Gupta India
Pritee Khanna India
Jenny Benois‐Pineau France
Kayhan Batmanghelich United States
Javad Haddadnia Iran
Goo‐Rak Kwon South Korea
Le An United States
Kebin Jia China
Qingmao Hu China
Jesse S. Jin Australia
Matthew R. Scott
Citations per year, relative to Matthew R. Scott Matthew R. Scott (= 1×) peers Jesse S. Jin

Countries citing papers authored by Matthew R. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Scott. A scholar is included among the top collaborators of Matthew R. Scott 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 R. Scott. Matthew R. Scott 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.
Charisis, Sokratis, Niki Mourtzi, Matthew R. Scott, et al.. (2025). Genetic predisposition to high circulating levels of interleukin 6 and risk for Alzheimer's disease. Discovery and replication. The Journal of Prevention of Alzheimer s Disease. 12(1). 100018–100018. 1 indexed citations
2.
Ramos‐Cejudo, Jaime, Alexa Beiser, Sophia Lu, et al.. (2025). Association of Platelet Aggregation With Markers of Alzheimer Disease Pathology in Middle-Aged Participants of the Framingham Heart Study. Neurology. 105(10). e214314–e214314.
3.
Yau, Wai‐Ying Wendy, Matthew R. Scott, Rodica E. Petrea, et al.. (2024). Sex‐Specific Vulnerabilities to Subclinical Vascular Brain Injury in Early Late‐Life: The Framingham Heart Study. Annals of Neurology. 97(3). 460–469. 5 indexed citations
4.
Ramos‐Cejudo, Jaime, Matthew R. Scott, Alexa Beiser, et al.. (2023). Association of platelet aggregation to amyloid and tau PET in the Framingham Heart Study. Alzheimer s & Dementia. 19(S13). 1 indexed citations
5.
Prokopiou, Prokopis C., Nina Engels, Kathryn V. Papp, et al.. (2022). Lower novelty-related locus coeruleus function is associated with Aβ-related cognitive decline in clinically healthy individuals. Nature Communications. 13(1). 1571–1571. 34 indexed citations
6.
Kang, Miao, Xiaojun Hu, Weilin Huang, Matthew R. Scott, & Mauricio Reyes. (2022). Dual-stream pyramid registration network. Medical Image Analysis. 78. 102379–102379. 79 indexed citations
7.
Huang, Yawen, Feng Zheng, Danyang Wang, et al.. (2021). Brain Image Synthesis with Unsupervised Multivariate Canonical CSC ℓ4Net. 5877–5886. 4 indexed citations
8.
Xiong, Yilei, et al.. (2020). Deformable Siamese Attention Networks for Visual Object Tracking. 6727–6736. 312 indexed citations breakdown →
9.
Guo, Sheng, et al.. (2020). V4D: 4D Covolutional Neural Networks for Video-level Representations Learning. International Conference on Learning Representations. 5 indexed citations
10.
Scott, Matthew R., Olivia Hampton, Rachel F. Buckley, et al.. (2020). Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults. NeuroImage. 220. 116991–116991. 34 indexed citations
11.
Hu, Xiaojun, Sheng Guo, Weilin Huang, et al.. (2020). Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging. 20(1). 17–17. 36 indexed citations
12.
Hampton, Olivia, Rachel F. Buckley, Matthew R. Scott, et al.. (2020). Resting-state functional connectivity and amyloid burden influence longitudinal cortical thinning in the default mode network in preclinical Alzheimer’s disease. NeuroImage Clinical. 28. 102407–102407. 29 indexed citations
13.
Wang, Xun, Haozhi Zhang, Weilin Huang, & Matthew R. Scott. (2020). Cross-Batch Memory for Embedding Learning. 6387–6396. 168 indexed citations
14.
Han, Xintong, Weilin Huang, Xiaojun Hu, & Matthew R. Scott. (2019). ClothFlow: A Flow-Based Model for Clothed Person Generation. 10470–10479. 155 indexed citations
15.
Guo, Sheng, Weilin Huang, Xiao Zhang, et al.. (2019). The iMaterialist Fashion Attribute Dataset. Research at the University of Copenhagen (University of Copenhagen). 3113–3116. 40 indexed citations
16.
Wang, Xun, et al.. (2019). Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning. 5017–5025. 493 indexed citations breakdown →
17.
Ge, Weifeng, Weilin Huang, Sheng Guo, & Matthew R. Scott. (2019). Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. 3344–3353. 39 indexed citations
18.
Popp, Kristin L., Julie M. Hughes, Matthew R. Scott, et al.. (2017). Bone mass, microarchitecture and strength are influenced by race/ethnicity in young adult men and women. Bone. 103. 200–208. 59 indexed citations
19.
Scott, Matthew R., Xiaohua Liu, & Ming Zhou. (2011). Engkoo: Mining the Web for Language Learning. Meeting of the Association for Computational Linguistics. 44–49. 1 indexed citations
20.
Scott, Matthew R., et al.. (2002). A case study of strategic infarct dementia investigated with the cognitive assessment system.. PubMed. 49(2). 207–10. 3 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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