Vetria Byrd

440 total citations
22 papers, 274 citations indexed

About

Vetria Byrd is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications. According to data from OpenAlex, Vetria Byrd has authored 22 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 4 papers in Computer Science Applications. Recurrent topics in Vetria Byrd's work include Experimental Learning in Engineering (4 papers), Data Visualization and Analytics (4 papers) and Statistics Education and Methodologies (3 papers). Vetria Byrd is often cited by papers focused on Experimental Learning in Engineering (4 papers), Data Visualization and Analytics (4 papers) and Statistics Education and Methodologies (3 papers). Vetria Byrd collaborates with scholars based in United States, Colombia and France. Vetria Byrd's co-authors include Camilo Vieira, Paul Parsons, Marjorie K. Jeffcoat, Scott Bartholomew, Jorge D. Camba, Lisa Bosman, Aasakiran Madamanchi, Paul A. Asunda, Joey K. Parker and Angus G. Forbes and has published in prestigious journals such as Computers & Education, IEEE Computer Graphics and Applications and Leonardo.

In The Last Decade

Vetria Byrd

18 papers receiving 259 citations

Peers

Vetria Byrd
Vetria Byrd
Citations per year, relative to Vetria Byrd Vetria Byrd (= 1×) peers Yuta Taniguchi

Countries citing papers authored by Vetria Byrd

Since Specialization
Citations

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

Fields of papers citing papers by Vetria Byrd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vetria Byrd

This figure shows the co-authorship network connecting the top 25 collaborators of Vetria Byrd. A scholar is included among the top collaborators of Vetria Byrd 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 Vetria Byrd. Vetria Byrd 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
1.
Byrd, Vetria. (2024). Innovative Pedagogy for Teaching and Learning Data Visualization. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
2.
Bosman, Lisa, et al.. (2022). Preparing the future entrepreneurial engineering workforce using web-based AI-enabled tools. European Journal of Engineering Education. 48(5). 972–989. 9 indexed citations
3.
Elwakil, Emad, et al.. (2021). A framework to standardize causes of construction delay. International Journal of Construction Management. 23(11). 1791–1804. 4 indexed citations
4.
Bartholomew, Scott, et al.. (2020). using data to improve precision in crop fertilization through digital agriculture. ScholarsArchive (Brigham Young University). 79(7). 32–36. 1 indexed citations
5.
Byrd, Vetria, et al.. (2020). Developing Research Questions: A method for transforming a question into a problem statement. 12. 1–8. 1 indexed citations
6.
Byrd, Vetria & Jorge D. Camba. (2020). Design Activity Worksheets for Developing Research Questions. 2020 ASEE Virtual Annual Conference Content Access Proceedings.
8.
Byrd, Vetria, et al.. (2020). Usability of Data Visualization Activity Worksheets in the Context of a Critical Data Visualization Workshop: Findings from a Usability Survey. 2020 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
10.
Byrd, Vetria & Jorge D. Camba. (2020). A Worksheet Method for Developing Research Questions: An Examination of Three Graduate Student Cohorts. 1–7. 3 indexed citations
11.
Byrd, Vetria. (2019). Using Bloom’s Taxonomy to Support Data Visualization Capacity Skills. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 1039–1053. 6 indexed citations
12.
Byrd, Vetria, et al.. (2019). Generative Adversarial Networks for Lupus Diagnostics. Figshare. 3 indexed citations
13.
Byrd, Vetria. (2018). Introducing Data Visualization: A Hands-on Approach for Undergraduates. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 730–736. 3 indexed citations
14.
Vieira, Camilo, Paul Parsons, & Vetria Byrd. (2018). Visual learning analytics of educational data: A systematic literature review and research agenda. Computers & Education. 122. 119–135. 194 indexed citations
15.
Byrd, Vetria & Camilo Vieira. (2018). Visualization: A Conduit for Collaborative Undergraduate Research Experiences. 1 indexed citations
16.
Byrd, Vetria, et al.. (2017). The Interactive Image: A Media Archaeology Approach. Leonardo. 50(4). 368–375. 2 indexed citations
17.
Byrd, Vetria, et al.. (2017). The interactive image. 368–375. 2 indexed citations
18.
Byrd, Vetria, et al.. (2016). Facilitating Visualization Capacity Building. 156–156.
20.
Byrd, Vetria, et al.. (1998). Semiautomated image registration for digital subtraction radiography. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 85(4). 473–478. 25 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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