Kaye Shelton

55 total papers · 947 total citations
23 papers, 402 citations indexed

About

Kaye Shelton is a scholar working on Education, Sociology and Political Science and Computer Science Applications. According to data from OpenAlex, Kaye Shelton has authored 23 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 7 papers in Sociology and Political Science and 4 papers in Computer Science Applications. Recurrent topics in Kaye Shelton's work include Online and Blended Learning (12 papers), Delphi Technique in Research (3 papers) and Innovative Teaching and Learning Methods (2 papers). Kaye Shelton is often cited by papers focused on Online and Blended Learning (12 papers), Delphi Technique in Research (3 papers) and Innovative Teaching and Learning Methods (2 papers). Kaye Shelton collaborates with scholars based in United States. Kaye Shelton's co-authors include Abbey K. Mann, Leigh Johnson and Janet C. Moore and has published in prestigious journals such as Journal of Research on Technology in Education, Online Learning and portal Libraries and the Academy.

In The Last Decade

Kaye Shelton

17 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kaye Shelton 281 96 72 57 48 23 402
Yunjeong Chang 218 0.8× 116 1.2× 50 0.7× 79 1.4× 39 0.8× 21 353
Peter Williams 235 0.8× 61 0.6× 46 0.6× 61 1.1× 56 1.2× 24 373
Jesús Trespalacios 243 0.9× 58 0.6× 68 0.9× 81 1.4× 43 0.9× 27 360
Norma I. Scagnoli 247 0.9× 113 1.2× 87 1.2× 59 1.0× 19 0.4× 23 396
Xin Liang 319 1.1× 55 0.6× 49 0.7× 88 1.5× 29 0.6× 19 395
Lydia Kyei-Blankson 276 1.0× 59 0.6× 70 1.0× 64 1.1× 16 0.3× 28 429
Teklu Abate Bekele 300 1.1× 101 1.1× 71 1.0× 88 1.5× 40 0.8× 18 400
Lina Pelliccione 354 1.3× 80 0.8× 93 1.3× 60 1.1× 29 0.6× 27 440
Lindy Abawi 278 1.0× 82 0.9× 50 0.7× 73 1.3× 42 0.9× 15 361
Sam Van Horne 195 0.7× 57 0.6× 72 1.0× 55 1.0× 24 0.5× 20 395

Countries citing papers authored by Kaye Shelton

Since Specialization
Citations

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

Fields of papers citing papers by Kaye Shelton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaye Shelton

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

All Works

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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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