Lap‐Yan Lo

509 citations
14 papers · 390 · h-index 8

Impact in

Papers in

Lap‐Yan Lo

14 papers receiving 376 citations

Peers

Lap‐Yan Lo
Comparison fields: 5 of 43
  • Developmental and Educational Psychology 314
  • Statistics and Probability 137
  • Cognitive Neuroscience 123
  • Education 150
  • Language and Linguistics 43
Replace Garrett J. Roberts with:
Garrett J. Roberts United States
Denyse V. Hayward Canada
Man‐Tak Leung Hong Kong
Alison Madelaine Australia
Lauren A. Katz United States
Michal Shany Israel
Elin Reikerås Norway
Nicole J. Conrad Canada
Pui‐sze Yeung Hong Kong
Michael Fluck United Kingdom
Lap‐Yan Lo relative to Garrett J. Roberts United States Garrett J. Roberts's profile →
Citations per field
00.5×3.8×
Garrett J. Roberts · 1×
Citations per year

Countries citing papers authored by Lap‐Yan Lo

Since Specialization
Citations

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

Fields of papers citing papers by Lap‐Yan Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap‐Yan Lo. 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 Lap‐Yan Lo. The network helps show where Lap‐Yan Lo may publish in the future.

Co-authors

The 8 scholars most cited alongside Lap‐Yan Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lap‐Yan Lo Line = papers co-authored together Lap‐Yan Lo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011131
2 201267
3 201154
4 201051
5 201529
6 201521
7 201613
8 20179
9 20155
10 20203
11 20133
12
Spatial Variability and Peak Shift: A Challenge for Elemental Associative Learning?
20052
13 20161
14 20181

About Lap‐Yan Lo

Lap‐Yan Lo is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Clinical Psychology and Education, having authored 14 papers that have together received 390 indexed citations. Recurring topics across this work include Reading and Literacy Development (7 papers), Writing and Handwriting Education (3 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Categorization, perception, and language (2 papers), Hearing Impairment and Communication (2 papers), Mindfulness and Compassion Interventions (2 papers), Multisensory perception and integration (2 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Developmental and Educational Psychology (314 citations), Statistics and Probability (137 citations), Cognitive Neuroscience (123 citations), Education (150 citations) and Language and Linguistics (43 citations). Lap‐Yan Lo has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Kevin Kien Hoa Chung, Connie Suk‐Han Ho, Pui‐sze Yeung, David Wai‐ock Chan, Hui Luan, David Chan, Boby Ho‐Hong Ching and David W. Chan. Their work appears in journals such as Applied Psycholinguistics, Reading and Writing, Scientific Studies of Reading, Annals of Dyslexia and Journal of Research in Reading.

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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