Joan Littlefield
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Developmental and Educational Psychology top 10%
- Education top 10%
- Signal Processing top 10%
- Co-authors
- R.J. LittlefieldW. L. NicholsonDaniel B. CarrJohn D. BransfordRichard LehrerBarry S. SteinJohn J. RieserJames A. Middleton
- Topics
- Innovative Teaching and Learning Methods (3 papers)Intelligent Tutoring Systems and Adaptive Learning (3 papers)Education and Technology Integration (3 papers)
- Cited by
- Developmental and Educational PsychologyComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Journal of the American Statistical AssociationJournal of Educational PsychologyJournal of Experimental Psychology General
- Partner nations
- United States
In The Last Decade
Joan Littlefield
15 papers receiving 504 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 195
- Artificial Intelligence 161
- Developmental and Educational Psychology 142
- Education 110
- Signal Processing 71
Countries citing papers authored by Joan Littlefield
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 34 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | Learning LOGO: Method of teaching, transfer of general skills, and attitudes toward school and computers. | 26 |
| 9 | 166 | |
| 10 | 140 | |
| 11 | 3 | |
| 12 | 24 | |
| 13 | 12 | |
| 14 | 56 | |
| 15 | 38 |
About Joan Littlefield
Joan Littlefield is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Development, having authored 15 papers that have together received 563 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Education and Technology Integration (3 papers). The work is most often cited by research in Developmental and Educational Psychology (142 citations), Computer Vision and Pattern Recognition (195 citations) and Computer Science Applications (50 citations). Joan Littlefield has collaborated with scholars based in United States. Frequent co-authors include R.J. Littlefield, W. L. Nicholson, Daniel B. Carr, John D. Bransford, Richard Lehrer, Barry S. Stein, John J. Rieser, James A. Middleton, Jeffery J. Franks and Keith N. Clayton. Their work appears in journals such as Journal of the American Statistical Association, Journal of Educational Psychology and Journal of Experimental Psychology General.
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.