Mark Leikin

1.5k citations
56 papers · 1.0k · h-index 20

Impact in

Papers in

Mark Leikin

56 papers receiving 944 citations

Peers

Mark Leikin
Comparison fields: 5 of 71
  • Developmental and Educational Psychology 624
  • Linguistics and Language 149
  • Statistics and Probability 271
  • Experimental and Cognitive Psychology 240
  • Cognitive Neuroscience 326
Replace Che Kan Leong with:
Che Kan Leong Canada
Àngels Colomé Spain
Aydin Y. Durgunoğlu United States
Xinchun Wu China
Shelley Xiuli Tong Hong Kong
Tracy Lavin Canada
Li‐Jen Kuo United States
Gisela Jia United States
Andrew Biemiller Canada
Virginia M. Holmes Australia
Mark Leikin relative to Che Kan Leong Canada Che Kan Leong's profile →
Citations per field
00.5×3.8×
Che Kan Leong · 1×
Citations per year

Countries citing papers authored by Mark Leikin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Leikin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Leikin, 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 Mark Leikin Line = papers co-authored together Mark Leikin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 200466
3 200647
4 201645
5 201442
6 200438
7 200737
8 200136
9 201333
10 201932
11 201331
12 200927
13 200527
14 201121
15 201721
16 201220
17 200219
18 200919
19 201419
20 200519

About Mark Leikin

Mark Leikin is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Cognitive Neuroscience, Experimental and Cognitive Psychology and Linguistics and Language, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reading and Literacy Development (25 papers), Cognitive and developmental aspects of mathematical skills (25 papers), Language Development and Disorders (18 papers), Neuroscience, Education and Cognitive Function (9 papers), Neurobiology of Language and Bilingualism (9 papers), Creativity in Education and Neuroscience (9 papers), Education, Achievement, and Giftedness (9 papers) and Multilingual Education and Policy (9 papers). The work is most often cited by research in Developmental and Educational Psychology (624 citations), Linguistics and Language (149 citations), Statistics and Probability (271 citations), Experimental and Cognitive Psychology (240 citations) and Cognitive Neuroscience (326 citations). Mark Leikin has collaborated with scholars based in Israel, Russia and Canada. Frequent co-authors include David L. Share, Mila Schwartz, Роза Лейкин, Zvia Breznitz, Raphiq Ibrahim, Ely Kozminsky, Victor Moin, Orit E. Hetzroni, Zohar Eviatar and Shelley Shaul. Their work appears in journals such as Reading and Writing, International Journal of Bilingualism, Journal of Psycholinguistic Research, Journal of Integrative Neuroscience and High Ability Studies.

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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