Kate Garland

38 total papers · 1.0k total citations
16 papers, 633 citations indexed

About

Kate Garland is a scholar working on Gender Studies, Experimental and Cognitive Psychology and Education. According to data from OpenAlex, Kate Garland has authored 16 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Gender Studies, 6 papers in Experimental and Cognitive Psychology and 6 papers in Education. Recurrent topics in Kate Garland's work include Gender and Technology in Education (7 papers), Visual and Cognitive Learning Processes (6 papers) and Child Development and Digital Technology (5 papers). Kate Garland is often cited by papers focused on Gender and Technology in Education (7 papers), Visual and Cognitive Learning Processes (6 papers) and Child Development and Digital Technology (5 papers). Kate Garland collaborates with scholars based in United Kingdom, France and Brazil. Kate Garland's co-authors include Jan Noyes, Frode Moen and Stephen J. Anderson and has published in prestigious journals such as Computers in Human Behavior, Ergonomics and British Journal of Educational Technology.

In The Last Decade

Kate Garland

15 papers receiving 553 citations

Author Peers

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

Author Last Decade Papers Cites
Kate Garland 211 149 145 144 126 16 633
Pablo Delgado 256 1.2× 68 0.5× 214 1.5× 124 0.9× 98 0.8× 24 664
Bente Rigmor Walgermo 243 1.2× 57 0.4× 211 1.5× 92 0.6× 68 0.5× 15 604
William Sugar 427 2.0× 96 0.6× 144 1.0× 79 0.5× 81 0.6× 36 647
Bing Mei 246 1.2× 81 0.5× 177 1.2× 132 0.9× 116 0.9× 18 570
George Palaigeorgiou 326 1.5× 107 0.7× 180 1.2× 50 0.3× 111 0.9× 31 693
Won Sug Shin 377 1.8× 79 0.5× 316 2.2× 155 1.1× 107 0.8× 21 773
Katherine S. Cennamo 411 1.9× 75 0.5× 93 0.6× 43 0.3× 69 0.5× 41 681
Jean A. Pratt 169 0.8× 30 0.2× 99 0.7× 244 1.7× 194 1.5× 19 641
Vanessa W. Vongkulluksn 406 1.9× 100 0.7× 178 1.2× 36 0.3× 58 0.5× 26 658
Domenica De Pasquale 319 1.5× 41 0.3× 144 1.0× 117 0.8× 340 2.7× 11 575

Countries citing papers authored by Kate Garland

Since Specialization
Citations

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

Fields of papers citing papers by Kate Garland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Garland

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