Catherine Lam

446 citations
17 papers · 313 · h-index 8

Impact in

Papers in

Catherine Lam

15 papers receiving 300 citations

Peers

Catherine Lam
Comparison fields: 5 of 34
  • Developmental and Educational Psychology 243
  • Statistics and Probability 98
  • Cognitive Neuroscience 88
  • Education 103
  • Clinical Psychology 38
Replace H.C. Lutje Spelberg with:
H.C. Lutje Spelberg Netherlands
Marina Leite Puglisi Brazil
Emily Lamont United Kingdom
Silke Fricke United Kingdom
Stephen C. Walker United States
Michel Zorman France
Giseli Donadon Germano Brazil
Abby G. Carlson United States
Robin D. Morris United States
Özlem Ece Demir‐Lira United States
Catherine Lam relative to H.C. Lutje Spelberg Netherlands H.C. Lutje Spelberg's profile →
Citations per field
00.5×
H.C. Lutje Spelberg · 1×
Citations per year

Countries citing papers authored by Catherine Lam

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Catherine Lam, 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 Catherine Lam Line = papers co-authored together Catherine Lam links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201086
2 200777
3 201031
4 200029
5 201621
6 201314
7 201214
8 20159
9 20127
10 20156
11 20116
12 20206
13 20104
14 20202
15 20241
16 20250
17 20240

About Catherine Lam

Catherine Lam is a scholar working on Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health, Education, Clinical Psychology and Cognitive Neuroscience, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Reading and Literacy Development (7 papers), Language Development and Disorders (5 papers), Infant Development and Preterm Care (5 papers), Educational and Psychological Assessments (4 papers), Early Childhood Education and Development (4 papers), Family and Disability Support Research (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). The work is most often cited by research in Developmental and Educational Psychology (243 citations), Statistics and Probability (98 citations), Cognitive Neuroscience (88 citations), Education (103 citations) and Clinical Psychology (38 citations). Catherine Lam has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Catherine McBride‐Chang, Simpson W. L. Wong, Cynthia Leung, Terry Tin‐Yau Wong, Che Kan Leong, Rose Mak, Anita M.-Y. Wong, Terry Kit-fong Au, Connie Suk‐Han Ho and Catherine McBride. Their work appears in journals such as Research in Developmental Disabilities, Reading and Writing, Journal of Child Psychology and Psychiatry, Developmental Neurorehabilitation and International Journal of Qualitative Studies on Health and Well-Being.

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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