Sarah Manlove

9 papers receiving 448 citations

Peers

Sarah Manlove
Comparison fields: 5 of 72
  • Developmental and Educational Psychology 357
  • Education 279
  • Computer Science Applications 108
  • Experimental and Cognitive Psychology 72
  • Artificial Intelligence 54
Replace Fu‐Yun Yu with:
Fu‐Yun Yu Taiwan
Sharon M. Carver United States
Lars Bollen Netherlands
Eva Erdosne Toth United States
Miky Ronen Israel
Lenka Schnaubert Germany
Tessa H.S. Eysink Netherlands
Jessica Andrews‐Todd United States
Minchi C. Kim United States
Ok-choon Park United States
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Citations per field
00.5×1.7×
Fu‐Yun Yu · 1×
Citations per year

Countries citing papers authored by Sarah Manlove

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Manlove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Manlove

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2
Evolving the IB Middle Years Programme
0
3
Transfer, and the Effects of Context Outside of the Training Task
0
4 34
5 26
6 42
7 72
8
Explorations in learning and the brain: A quick scan of the potential of neuroscience for education
1
9 105
10
Self-regulation and collaboration in a discovery learning environment
8
11 203
12
Co-Lab, design considerations for a collaborative discovery learning environment
5

About Sarah Manlove

Sarah Manlove is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Statistics and Probability, having authored 12 papers that have together received 496 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (8 papers), Online and Blended Learning (4 papers) and Educational Strategies and Epistemologies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (357 citations), Computer Science Applications (108 citations) and Education (279 citations). Sarah Manlove has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Ton de Jong, Ard W. Lazonder, Elwin Savelsbergh, Wouter van Joolingen, Theo van Leeuwen, Jelle Jolles, Kathleen Jenks, Jeroen J. G. van Merriënboer, Tamara van Gog and P.H.M. Sins. Their work appears in journals such as Computers in Human Behavior, Cognitive Science and Journal of Computer Assisted Learning.

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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