Matthew R. Masters

476 total citations
14 papers, 276 citations indexed

About

Matthew R. Masters is a scholar working on Materials Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew R. Masters has authored 14 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew R. Masters's work include Protein Structure and Dynamics (5 papers), Neuroscience and Neural Engineering (5 papers) and Machine Learning in Materials Science (4 papers). Matthew R. Masters is often cited by papers focused on Protein Structure and Dynamics (5 papers), Neuroscience and Neural Engineering (5 papers) and Machine Learning in Materials Science (4 papers). Matthew R. Masters collaborates with scholars based in United States, Switzerland and Brazil. Matthew R. Masters's co-authors include Nitish V. Thakor, Markus A. Lill, Amr H. Mahmoud, Rahul R. Kaliki, Joseph Betthauser, Luke E. Osborn, Yang Ying, Christopher L. Hunt, Alcimar Barbosa Soares and Ying Yang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Biomedical Engineering and Journal of Chemical Information and Modeling.

In The Last Decade

Matthew R. Masters

13 papers receiving 272 citations

Peers

Countries citing papers authored by Matthew R. Masters

Since Specialization

Citations

This map shows the geographic impact of Matthew R. Masters'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. Masters 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. Masters more than expected).

Fields of papers citing papers by Matthew R. Masters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Masters. A scholar is included among the top collaborators of Matthew R. Masters 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. Masters. Matthew R. Masters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Accelerated Hydration Site Localization and Thermodynamic Profiling 2025 ·Journal of Chemical Information and Modeling ·(unknown), Matthew R. Masters, (unknown), Amr H. Mahmoud, Markus A. Lill	0
2	Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactions 2025 ·Nature Communications ·Matthew R. Masters, Amr H. Mahmoud, Markus A. Lill	7
3	Deep Learning Model for Efficient Protein–Ligand Docking with Implicit Side-Chain Flexibility 2023 ·Journal of Chemical Information and Modeling ·Matthew R. Masters, Amr H. Mahmoud, (unknown), Markus A. Lill	32
4	Physiological Sensor Fusion for Real-Time Pilot Workload Prediction and Overload Prevention 2022 ·AIAA SCITECH 2022 Forum ·Matthew R. Masters, Axel Schulte	1
5	Accurate Sampling of Macromolecular Conformations Using Adaptive Deep Learning and Coarse-Grained Representation 2022 ·Journal of Chemical Information and Modeling ·Amr H. Mahmoud, Matthew R. Masters, (unknown), Markus A. Lill	8
6	Elucidating the multiple roles of hydration for accurate protein-ligand binding prediction via deep learning 2020 ·Communications Chemistry ·Amr H. Mahmoud, Matthew R. Masters, Yang Ying, Markus A. Lill	46
7	Investigating the Utility of fNIRS to Assess Mental Workload in a Simulated Helicopter Environment 2020 ·Matthew R. Masters, Axel Schulte	4
8	Efficient and Accurate Hydration Site Profiling for Enclosed Binding Sites 2018 ·Journal of Chemical Information and Modeling ·Matthew R. Masters, Amr H. Mahmoud, Ying Yang, Markus A. Lill	16
9	Multi-Position Training Improves Robustness of Pattern Recognition and Reduces Limb-Position Effect in Prosthetic Control 2017 ·JPO Journal of Prosthetics and Orthotics ·Robert J. Beaulieu, Matthew R. Masters, Joseph Betthauser, (unknown), Rahul R. Kaliki, Nitish V. Thakor, Alcimar Barbosa Soares	26
10	Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning 2017 ·IEEE Transactions on Biomedical Engineering ·Joseph Betthauser, Christopher L. Hunt, Luke E. Osborn, Matthew R. Masters, (unknown), Rahul R. Kaliki, Nitish V. Thakor	80
11	Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations 2016 ·Medical & Biological Engineering & Computing ·(unknown), Matthew R. Masters, Nitish V. Thakor	37
12	Real-time arm tracking for HMI applications 2015 ·PubMed ·Matthew R. Masters, Luke E. Osborn, Nitish V. Thakor, Alcimar Barbosa Soares	5
13	The anterior contralateral response improves performance in a single trial auditory oddball BMI 2015 ·Biomedical Signal Processing and Control ·(unknown), Guizhi Xu, Lei Wang, Matthew R. Masters, Griffin Milsap, Nitish V. Thakor, Alcimar Barbosa Soares	7
14	Towards better understanding and reducing the effect of limb position on myoelectric upper-limb prostheses 2014 ·Matthew R. Masters, (unknown), Alcimar Barbosa Soares, Nitish V. Thakor	7

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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