Kathryn Shafer

28 total papers · 455 total citations
12 papers, 242 citations indexed

About

Kathryn Shafer is a scholar working on Education, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, Kathryn Shafer has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 3 papers in Computer Science Applications and 2 papers in Sociology and Political Science. Recurrent topics in Kathryn Shafer's work include Education and Technology Integration (8 papers), Mathematics Education and Teaching Techniques (6 papers) and Education and Digital Technologies (2 papers). Kathryn Shafer is often cited by papers focused on Education and Technology Integration (8 papers), Mathematics Education and Teaching Techniques (6 papers) and Education and Digital Technologies (2 papers). Kathryn Shafer collaborates with scholars based in United States and Türkiye. Kathryn Shafer's co-authors include Shannon O. Driskell, S. Aslı Özgün‐Koca, Margaret L. Niess, Christine Browning, Suzanne R. Harper, Gladis Kersaint, Robert N. Ronau, Chris Johnston, Erdinç Çakıroğlu and Didem Akyüz and has published in prestigious journals such as OpenMETU (Middle East Technical University), Contemporary issues in technology and teacher education and ScholarWorks - WMU (Western Michigan University).

In The Last Decade

Kathryn Shafer

9 papers receiving 212 citations

Author Peers

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

Author						Papers	Cites
Kathryn Shafer	219	64	44	43	33	12	242
Shannon O. Driskell	235 1.1×	62 1.0×	53 1.2×	45 1.0×	32 1.0×	9	274
Suzanne R. Harper	273 1.2×	72 1.1×	63 1.4×	50 1.2×	45 1.4×	14	314
Katherine McMillan Culp	180 0.8×	45 0.7×	53 1.2×	28 0.7×	39 1.2×	16	246
Daniel Thurm	162 0.7×	56 0.9×	45 1.0×	13 0.3×	32 1.0×	17	206
Donna Pearson	195 0.9×	29 0.5×	33 0.8×	29 0.7×	17 0.5×	16	274
Ellen R. Bialo	206 0.9×	56 0.9×	70 1.6×	32 0.7×	69 2.1×	8	274
Gilles Aldon	155 0.7×	45 0.7×	46 1.0×	38 0.9×	8 0.2×	24	212
Michael Meagher	158 0.7×	35 0.5×	33 0.8×	20 0.5×	24 0.7×	23	172
Michael J. Nelson	218 1.0×	162 2.5×	31 0.7×	28 0.7×	71 2.2×	14	325
EunJin Bang	262 1.2×	36 0.6×	94 2.1×	28 0.7×	17 0.5×	13	317

Countries citing papers authored by Kathryn Shafer

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn Shafer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Shafer

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Shafer. A scholar is included among the top collaborators of Kathryn Shafer 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 Kathryn Shafer. Kathryn Shafer 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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