Bryan Matthews

2.1k total citations
62 papers, 1.5k citations indexed

About

Bryan Matthews is a scholar working on Artificial Intelligence, Signal Processing and Statistics, Probability and Uncertainty. According to data from OpenAlex, Bryan Matthews has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 16 papers in Signal Processing and 14 papers in Statistics, Probability and Uncertainty. Recurrent topics in Bryan Matthews's work include Anomaly Detection Techniques and Applications (29 papers), Time Series Analysis and Forecasting (13 papers) and Risk and Safety Analysis (12 papers). Bryan Matthews is often cited by papers focused on Anomaly Detection Techniques and Applications (29 papers), Time Series Analysis and Forecasting (13 papers) and Risk and Safety Analysis (12 papers). Bryan Matthews collaborates with scholars based in United States, China and Austria. Bryan Matthews's co-authors include Roman Rosipal, Leonard J. Trejo, Nikunj C. Oza, Santanu Das, Gang Wu, Milad Memarzadeh, Ashok N. Srivastava, Kanishka Bhaduri, Rodney Martin and Chris Giannella and has published in prestigious journals such as Journal of Materials Chemistry A, Nano Energy and Electrochimica Acta.

In The Last Decade

Bryan Matthews

60 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Matthews United States 20 520 451 272 233 221 62 1.5k
Shen Zhang China 21 309 0.6× 718 1.6× 83 0.3× 90 0.4× 1.0k 4.6× 117 2.5k
Yongqiang Cheng China 24 410 0.8× 371 0.8× 198 0.7× 156 0.7× 104 0.5× 125 2.0k
Deok‐Hwan Kim South Korea 22 235 0.5× 1.5k 3.3× 165 0.6× 272 1.2× 43 0.2× 121 2.8k
Anurag Singh India 21 493 0.9× 606 1.3× 128 0.5× 417 1.8× 187 0.8× 120 2.2k
Md. Rashedul Islam Bangladesh 21 339 0.7× 220 0.5× 198 0.7× 112 0.5× 223 1.0× 121 1.7k
Abdul Rahim Abdullah Malaysia 21 480 0.9× 672 1.5× 243 0.9× 45 0.2× 447 2.0× 173 1.9k
Yakup Demir Türkiye 18 267 0.5× 604 1.3× 222 0.8× 84 0.4× 383 1.7× 42 1.6k
Abdullah G. Alharbi Saudi Arabia 25 220 0.4× 1.3k 2.8× 41 0.2× 46 0.2× 262 1.2× 119 2.1k
Minho Lee South Korea 26 625 1.2× 353 0.8× 328 1.2× 130 0.6× 227 1.0× 174 2.3k
Qiang Zhu China 21 202 0.4× 380 0.8× 53 0.2× 241 1.0× 166 0.8× 81 1.6k

Countries citing papers authored by Bryan Matthews

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan Matthews. A scholar is included among the top collaborators of Bryan Matthews 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 Bryan Matthews. Bryan Matthews 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
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Thé, Jesse Van Griensven, et al.. (2023). Extending Multi-Pathway Human Health Risk Assessment from Regional to Country-Wide—A Case Study on Kuwait. Atmosphere. 14(8). 1247–1247. 2 indexed citations
4.
Matthews, Bryan, et al.. (2023). Monitoring Airspace Complexity and Determining Contributing Factors. AIAA SCITECH 2023 Forum. 1 indexed citations
5.
Memarzadeh, Milad, Ata Akbari Asanjan, & Bryan Matthews. (2022). Robust and Explainable Semi-Supervised Deep Learning Model for Anomaly Detection in Aviation. Aerospace. 9(8). 437–437. 19 indexed citations
6.
Memarzadeh, Milad, et al.. (2020). Unsupervised Anomaly Detection in Flight Data Using Convolutional Variational Auto-Encoder. Aerospace. 7(8). 115–115. 71 indexed citations
7.
Smith, Brian E., et al.. (2019). Resilience and Safety for In-Time Monitoring, Prediction, and Mitigation of Emergent Risks in Commercial Aviation. CORE Scholar (Wright State University). 109. 1 indexed citations
8.
Smith, Amanda, et al.. (2015). D5.3: Access Charge Final Report. The sustainable freight railway: Designing the freight vehicle – track system for higher delivered tonnage with improved availability at reduced cost (SUSTRAIL). White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2015. 3 indexed citations
9.
Abdul‐Aziz, Ali, et al.. (2013). New Sensors and Techniques for the Structural Health Monitoring of Propulsion Systems. The Scientific World JOURNAL. 2013(1). 596506–596506. 12 indexed citations
10.
Matthews, Bryan, Santanu Das, Kanishka Bhaduri, et al.. (2013). Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms. Journal of Aerospace Information Systems. 10(10). 467–475. 47 indexed citations
11.
Bhaduri, Kanishka, Bryan Matthews, & Chris Giannella. (2011). Algorithms for speeding up distance-based outlier detection. 859–867. 61 indexed citations
12.
Pankewycz, O., Mahmoud N. Kulaylat, Leonard F. Fagan, et al.. (2010). A Prospective Protocol-Based Trial of Darbepoetin Alfa Therapy to Correct the Early Anemia Following Renal Transplantation. Transplantation Proceedings. 42(9). 3537–3541. 7 indexed citations
13.
Martin, Rodney, Mark Schwabacher, & Bryan Matthews. (2010). Data-Driven Anomaly Detection Performance for the Ares I-X Ground Diagnostic Prototype. Annual Conference of the PHM Society. 2(1). 3 indexed citations
14.
Das, Santanu, Bryan Matthews, Ashok N. Srivastava, & Nikunj C. Oza. (2010). Multiple kernel learning for heterogeneous anomaly detection. 47–56. 135 indexed citations
15.
Trejo, Leonard J., Roman Rosipal, & Bryan Matthews. (2006). Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14(2). 225–229. 189 indexed citations
16.
Trejo, Leonard J., et al.. (2005). Measures and models for predicting cognitive fatigue. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5797. 105–105. 29 indexed citations
17.
Trejo, Leonard J., et al.. (2004). Measures and Models for Estimating and Predicting Cognitive Fatigue. NASA Technical Reports Server (NASA). 7(1). 116–7. 2 indexed citations
18.
Rosipal, Roman, Leonard J. Trejo, & Bryan Matthews. (2003). Kernel PLS-SVC for linear and nonlinear classification. International Conference on Machine Learning. 640–647. 62 indexed citations
19.
Trejo, Leonard J., Kevin Wheeler, C.C. Jorgensen, et al.. (2003). Multimodal neuroelectric interface development. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2). 199–203. 47 indexed citations
20.
Matthews, Bryan & Judith Nagata. (1986). Religion, values and development in Southeast Asia. 10 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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