Thomas G. Smith

670 total citations
14 papers, 464 citations indexed

About

Thomas G. Smith is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases. According to data from OpenAlex, Thomas G. Smith has authored 14 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Infectious Diseases. Recurrent topics in Thomas G. Smith's work include Visual perception and processing mechanisms (2 papers), Time Series Analysis and Forecasting (2 papers) and Data Visualization and Analytics (2 papers). Thomas G. Smith is often cited by papers focused on Visual perception and processing mechanisms (2 papers), Time Series Analysis and Forecasting (2 papers) and Data Visualization and Analytics (2 papers). Thomas G. Smith collaborates with scholars based in United States, Australia and Iran. Thomas G. Smith's co-authors include Stephen Briggs, Warren H. Jones, Chen Yu, Linda B. Smith, Alfredo F. Pereira, Hongwei Shen, Robert A. Frankenthaler, Patti Hankins, Peter Wolf and Randal S. Weber and has published in prestigious journals such as Journal of Personality and Social Psychology, Environmental Modelling & Software and Journal of Vision.

In The Last Decade

Thomas G. Smith

13 papers receiving 432 citations

Peers

Thomas G. Smith
Thomas G. Smith
Citations per year, relative to Thomas G. Smith Thomas G. Smith (= 1×) peers Yu-Min Fang

Countries citing papers authored by Thomas G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas G. Smith

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

All Works

14 of 14 papers shown
1.
Underwood, Beverly A., Linda Yankie, Eric P. Nawrocki, et al.. (2022). Rapid automated validation, annotation and publication of SARS-CoV-2 sequences to GenBank. Database. 2022. 4 indexed citations
2.
Smith, Thomas G.. (2017). Stewart L. Udall: Steward of the Land. Project Muse (Johns Hopkins University).
3.
Zarei, Fatemeh, Effat Merghati Khoei, Ann Taket, Azam Rahmani, & Thomas G. Smith. (2013). How Does Divorce Affect Iranian Women's Sexual Well-Being?. Journal of Divorce & Remarriage. 54(5). 381–392. 11 indexed citations
4.
Boyer, Ty W., Yu Chen, Thomas G. Smith, & Bennett I. Bertenthal. (2010). Gaze Patterns and Visual Salience in Change Detection of Natural Scenes. Journal of Vision. 10(7). 169–169. 2 indexed citations
5.
Zhang, Hui, et al.. (2010). Real-time adaptive behaviors in multimodal human-avatar interactions. 1–8. 11 indexed citations
6.
Groß, D., et al.. (2010). Environmental chemistry through intelligent atmospheric data analysis. Environmental Modelling & Software. 25(6). 760–769. 44 indexed citations
7.
Yu, Chen, Linda B. Smith, Hongwei Shen, Alfredo F. Pereira, & Thomas G. Smith. (2009). Active Information Selection: Visual Attention Through the Hands. PubMed. 1(2). 141–151. 65 indexed citations
8.
Yu, Chen, et al.. (2009). Visual Data Mining of Multimedia Data for Social and Behavioral Studies. Information Visualization. 8(1). 56–70. 10 indexed citations
9.
Yu, Chen, et al.. (2008). Visual mining of multimedia data for social and behavioral studies. 31. 155–162. 4 indexed citations
10.
Silverstein, Steven M., Lindsay S. Schenkel, Sandra Wilkniss, et al.. (2006). Reduced top-down influences in contour detection in schizophrenia. Cognitive Neuropsychiatry. 11(2). 112–132. 55 indexed citations
11.
Anderson, Benjamin, et al.. (2006). Adapting K-Medians to Generate Normalized Cluster Centers. 15 indexed citations
12.
Weber, Randal S., Issam Raad, Robert A. Frankenthaler, et al.. (1992). Ampicillin-Sulbactam vs Clindamycin in Head and Neck Oncologic Surgery: The Need for Gram-negative Coverage. Archives of Otolaryngology - Head and Neck Surgery. 118(11). 1159–1163. 66 indexed citations
13.
Jones, Warren H., Stephen Briggs, & Thomas G. Smith. (1986). Shyness: Conceptualization and measurement.. Journal of Personality and Social Psychology. 51(3). 629–639. 173 indexed citations
14.
Montgomery, Robert L., et al.. (1975). Autokinetic Paradigms: A Reply to Alexander, Zucker and Brody. Sociometry. 38(3). 358–358. 4 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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