Joan Littlefield

19 total papers · 773 total citations
15 papers, 563 citations indexed

About

Joan Littlefield is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Joan Littlefield has authored 15 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 5 papers in Artificial Intelligence and 5 papers in Education. Recurrent topics in Joan Littlefield's work include Innovative Teaching and Learning Methods (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Education and Technology Integration (3 papers). Joan Littlefield is often cited by papers focused on Innovative Teaching and Learning Methods (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Education and Technology Integration (3 papers). Joan Littlefield collaborates with scholars based in United States. Joan Littlefield's co-authors include W. L. Nicholson, R.J. Littlefield, Daniel B. Carr, John D. Bransford, Richard Lehrer, Barry S. Stein, John J. Rieser, Jeffery J. Franks, James A. Middleton and Keith N. Clayton and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Educational Psychology and Journal of Experimental Psychology General.

In The Last Decade

Joan Littlefield

15 papers receiving 504 citations

Author Peers

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

Author						Papers	Cites
Joan Littlefield	195	161	143	111	71	15	563
Maike Schindler	77 0.4×	93 0.6×	117 0.8×	156 1.4×	13 0.2×	39	505
Malcolm Bauer	50 0.3×	287 1.8×	183 1.3×	118 1.1×	27 0.4×	30	640
Daniel B. Horn	55 0.3×	198 1.2×	123 0.9×	43 0.4×	15 0.2×	16	665
Leonard A. Breslow	53 0.3×	249 1.5×	122 0.9×	32 0.3×	26 0.4×	19	556
R. Jordan Crouser	286 1.5×	109 0.7×	84 0.6×	62 0.6×	27 0.4×	32	655
Janet H. Walker	45 0.2×	129 0.8×	72 0.5×	26 0.2×	12 0.2×	19	508
Caixia Liu	82 0.4×	129 0.8×	56 0.4×	102 0.9×	20 0.3×	57	674
Greg L. Nelson	213 1.1×	131 0.8×	106 0.7×	27 0.2×	40 0.6×	18	671
Rebecca Nugent	26 0.1×	180 1.1×	41 0.3×	26 0.2×	31 0.4×	45	564
James V. Schultz	53 0.3×	147 0.9×	22 0.2×	30 0.3×	60 0.8×	10	655

Countries citing papers authored by Joan Littlefield

Since Specialization

Citations

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

Fields of papers citing papers by Joan Littlefield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Littlefield

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