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

align trajectories

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.

Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning

2019 493 citations Xun Wang, Xintong Han et al. profile →
Deformable Siamese Attention Networks for Visual Object Tracking

2020 312 citations Yilei Xiong, Weilin Huang et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Genetic predisposition to high circulating levels of interleukin 6 and risk for Alzheimer's disease. Discovery and replication 2025 ·The Journal of Prevention of Alzheimer s Disease ·Sokratis Charisis, Niki Mourtzi, Matthew R. Scott, Eva Ntanasi, Eirini Mamalaki, Alexandros Hatzimanolis, Alfredo Ramı́rez, Jean‐Charles Lambert, Mary Yannakoulia, Mary H. Kosmidis, Efthimios Dardiotis, Georgios Hadjigeorgiou, Paraskevi Sakka, Claudia L. Satizábal, Alexa Beiser, Qiong Yang, Marios K. Georgakis, Sudha Seshadri, (unknown)	1
2	Association of Platelet Aggregation With Markers of Alzheimer Disease Pathology in Middle-Aged Participants of the Framingham Heart Study 2025 ·Neurology ·Jaime Ramos‐Cejudo, Alexa Beiser, Sophia Lu, Jeremy A. Tanner, Matthew R. Scott, (unknown), (unknown), Keith A. Johnson, Joel Salinas, Omonigho M. Bubu, Els Fieremans, Antonio Convit, (unknown), Thomas Wısnıewskı, Jeffrey S. Berger, Ricardo S. Osorio, Charles DeCarli, Andrew D. Johnson, Sudha Seshadri	0
3	Sex‐Specific Vulnerabilities to Subclinical Vascular Brain Injury in Early Late‐Life: The Framingham Heart Study 2024 ·Annals of Neurology ·Wai‐Ying Wendy Yau, Matthew R. Scott, Rodica E. Petrea, Rachel F. Buckley, (unknown), Reisa A. Sperling, Jasmeer P. Chhatwal, Pauline Maillard, Hugo J. Aparicio, José R. Romero, Charles DeCarli, Alexa Beiser, Sudha Seshadri	5
4	Association of platelet aggregation to amyloid and tau PET in the Framingham Heart Study 2023 ·Alzheimer s & Dementia ·Jaime Ramos‐Cejudo, Matthew R. Scott, Alexa Beiser, Jeremy A. Tanner, (unknown), Keith A. Johnson, Joel Salinas, Ricardo S. Osorio, Thomas Wısnıewskı, Jeffrey S. Berger, Andrew D. Johnson, Sudha Seshadri	1
5	Lower novelty-related locus coeruleus function is associated with Aβ-related cognitive decline in clinically healthy individuals 2022 ·Nature Communications ·Prokopis C. Prokopiou, Nina Engels, Kathryn V. Papp, Matthew R. Scott, Aaron P. Schultz, Christoph Schneider, Michelle E. Farrell, Rachel F. Buckley, Yakeel T. Quiroz, Georges El Fakhri, Dorene M. Rentz, Reisa A. Sperling, Keith A. Johnson, Heidi I.L. Jacobs	34
6	Dual-stream pyramid registration network 2022 ·Medical Image Analysis ·Miao Kang, Xiaojun Hu, Weilin Huang, Matthew R. Scott, Mauricio Reyes	79
7	Brain Image Synthesis with Unsupervised Multivariate Canonical CSC ℓ₄Net 2021 ·Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao	4
8	Deformable Siamese Attention Networks for Visual Object Tracking breakdown → 2020 ·(unknown), Yilei Xiong, Weilin Huang, Matthew R. Scott	312
9	V4D: 4D Covolutional Neural Networks for Video-level Representations Learning 2020 ·International Conference on Learning Representations ·(unknown), Sheng Guo, Weilin Huang, Matthew R. Scott, Limin Wang	5
10	Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults 2020 ·NeuroImage ·Matthew R. Scott, Olivia Hampton, Rachel F. Buckley, Jasmeer P. Chhatwal, Bernard Hanseeuw, Heidi I.L. Jacobs, Michael J Properzi, Justin S. Sanchez, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz	34
11	Brain SegNet: 3D local refinement network for brain lesion segmentation 2020 ·BMC Medical Imaging ·Xiaojun Hu, (unknown), (unknown), Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Fried-Michael Dahlweid, Mauricio Reyes	36
12	Resting-state functional connectivity and amyloid burden influence longitudinal cortical thinning in the default mode network in preclinical Alzheimer’s disease 2020 ·NeuroImage Clinical ·Olivia Hampton, Rachel F. Buckley, (unknown), Matthew R. Scott, Michael J Properzi, Cleofé Peña-Gómez, Heidi I.L. Jacobs, Jasmeer P. Chhatwal, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz	29
13	Cross-Batch Memory for Embedding Learning 2020 ·Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott	168
14	ClothFlow: A Flow-Based Model for Clothed Person Generation 2019 ·Xintong Han, Weilin Huang, Xiaojun Hu, Matthew R. Scott	155
15	The iMaterialist Fashion Attribute Dataset 2019 ·Research at the University of Copenhagen (University of Copenhagen) ·Sheng Guo, Weilin Huang, Xiao Zhang, (unknown), Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge Belongie	40
16	Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning breakdown → 2019 ·Xun Wang, Xintong Han, Weilin Huang, (unknown), Matthew R. Scott	493
17	Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation 2019 ·Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott	39
18	Bone mass, microarchitecture and strength are influenced by race/ethnicity in young adult men and women 2017 ·Bone ·Kristin L. Popp, Julie M. Hughes, (unknown), Matthew R. Scott, (unknown), Signe Caksa, Katelyn I. Guerriere, Kathryn E. Ackerman, Chun Xu, Ginu Unnikrishnan, Jaques Reifman, Mary Bouxsein	59
19	Engkoo: Mining the Web for Language Learning 2011 ·Meeting of the Association for Computational Linguistics ·Matthew R. Scott, Xiaohua Liu, Ming Zhou	1
20	A case study of strategic infarct dementia investigated with the cognitive assessment system. 2002 ·PubMed ·(unknown), Matthew R. Scott	3

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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