Michael R. Smith

472 total citations
16 papers, 335 citations indexed

About

Michael R. Smith is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael R. Smith has authored 16 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Michael R. Smith's work include Neural dynamics and brain function (2 papers), Advanced MRI Techniques and Applications (2 papers) and Advanced Malware Detection Techniques (2 papers). Michael R. Smith is often cited by papers focused on Neural dynamics and brain function (2 papers), Advanced MRI Techniques and Applications (2 papers) and Advanced Malware Detection Techniques (2 papers). Michael R. Smith collaborates with scholars based in Canada and United States. Michael R. Smith's co-authors include Naoki Unno, V. A. Larkin, Stefaan H.A.J. Tytgat, M P Fink, Alberto O. Chávez, April A. Schottelkorb, Dee C. Ray, Pedro J. Blanco, H. A. Buckmaster and Craig M. Vineyard and has published in prestigious journals such as Gastroenterology, Technometrics and International Journal of Imaging Systems and Technology.

In The Last Decade

Michael R. Smith

13 papers receiving 312 citations

Peers

Michael R. Smith
Lixue Wang China
Ling Ma China
Ruifang Li‐Gao Netherlands
Lorraine King United States
Fan Yin China
Mehmet Tahir Huyut Türkiye
Maria C. Kjellsson Sweden
Rishi Arora United States
Lixue Wang China
Michael R. Smith
Citations per year, relative to Michael R. Smith Michael R. Smith (= 1×) peers Lixue Wang

Countries citing papers authored by Michael R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Smith

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

All Works

16 of 16 papers shown
1.
Smith, Michael R.. (2024). Student Prediction And Tracking Of Learning Progress Through An Assembly Language Programming Course. Papers on Engineering Education Repository (American Society for Engineering Education). 4.473.1–4.473.7.
2.
Smith, Michael R., et al.. (2023). Improving Automated Labeling for ATT&CK Tactics in Malware Threat Reports. 5(1). 1–16. 5 indexed citations
3.
Tsiotras, Panagiotis, et al.. (2021). Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner. AIAA Scitech 2021 Forum. 6 indexed citations
4.
Chance, Frances S., et al.. (2020). Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers in Computational Neuroscience. 14. 39–39. 10 indexed citations
5.
Smith, Michael R., et al.. (2020). Mind the Gap. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49–60. 12 indexed citations
6.
7.
Smith, Michael R., et al.. (2008). Is undiagnosed synaesthesia a confounding factor in the interpretation of MRI images?. PubMed. 2008. 5778–5781. 1 indexed citations
8.
Succi, Giancarlo, et al.. (2008). Design of an Experiment for Quantitative Assessment of Pair Programming Practices. 1 indexed citations
9.
Smith, Michael R., et al.. (2006). Approaches to validating the "quantity" in quantitative MR cerebral perfusion studies. 2006. 16–16. 2 indexed citations
10.
Ray, Dee C., et al.. (2006). Quantitative analysis of long-term child-centered play therapy.. International Journal of Play Therapy. 15(2). 35–58. 23 indexed citations
11.
Wang, Ying & Michael R. Smith. (2003). Release date prediction for telecommunication software using Bayesian Belief Networks. 738–742. 1 indexed citations
12.
Smith, Michael R.. (2001). SquishDSP - A process tool for systematic identification of parallel operations in instructions generated from an optimizing compiler or present in custom code.
13.
Unno, Naoki, Stefaan H.A.J. Tytgat, V. A. Larkin, et al.. (1997). Inhibition of inducible nitric oxide synthase ameliorates endotoxin- induced gut mucosal barrier dysfunction in rats. Gastroenterology. 113(4). 1246–1257. 235 indexed citations
14.
Smith, Michael R., et al.. (1997). Alternatives to the use of the DFT in MRI and spectroscopic reconstructions. International Journal of Imaging Systems and Technology. 8(6). 558–564. 6 indexed citations
15.
Smith, Michael R.. (1991). Commonsense computer security. Computer Fraud & Security Bulletin. 1991(3). 7–15. 18 indexed citations
16.
Smith, Michael R., et al.. (1976). Decomposition of Multicomponent Exponential Decays by Spectral Analytic Techniques. Technometrics. 18(4). 467–467. 13 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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