Kaidi Lõo

546 citations
15 papers · 127 · h-index 7

Impact in

Papers in

Kaidi Lõo

12 papers receiving 109 citations

Peers

Kaidi Lõo
Comparison fields: 5 of 16
  • Developmental and Educational Psychology 52
  • Language and Linguistics 32
  • Experimental and Cognitive Psychology 32
  • Cognitive Neuroscience 45
  • Artificial Intelligence 68
Replace Abdellah Fourtassi with:
Abdellah Fourtassi France
Elnaz Shafaei-Bajestan Germany
Stephan C. Meylan United States
Yohei Oseki Japan
F. Nihan Ketrez Türkiye
Viktor Trón United Kingdom
Ursula Stephany Russia
Emiliano Guevara Norway
Maria D. Voeikova Russia
Claire H. C. Chang Taiwan
Kaidi Lõo relative to Abdellah Fourtassi France Abdellah Fourtassi's profile →
Citations per field
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Abdellah Fourtassi · 1×
Citations per year

Countries citing papers authored by Kaidi Lõo

Since Specialization
Citations

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

Fields of papers citing papers by Kaidi Lõo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Kaidi Lõo, 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 Kaidi Lõo Line = papers co-authored together Kaidi Lõo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201830
2 201424
3 201821
4
Automatic CEFR Level Prediction for Estonian Learner Text
201417
5
Individual Differences in Pupil Dilation during Naming Task.
20168
6
Role of Morpho-Syntactic Features in Estonian Proficiency Classification
20137
7 20197
8 20244
9 20223
10 20222
11 20192
12
Effects of affective ratings and individual differences in English morphological processing.
20191
13 20181
14 20260
15 20240

About Kaidi Lõo

Kaidi Lõo is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology, having authored 15 papers that have together received 127 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (7 papers), Neurobiology of Language and Bilingualism (7 papers), Reading and Literacy Development (6 papers), Natural Language Processing Techniques (4 papers), Phonetics and Phonology Research (2 papers), Text Readability and Simplification (2 papers), Color perception and design (1 paper) and Educational and Psychological Assessments (1 paper). The work is most often cited by research in Developmental and Educational Psychology (52 citations), Language and Linguistics (32 citations), Experimental and Cognitive Psychology (32 citations), Cognitive Neuroscience (45 citations) and Artificial Intelligence (68 citations). Kaidi Lõo has collaborated with scholars based in Canada, Germany and Estonia. Frequent co-authors include Juhani Järvikivi, R. Harald Baayen, Sowmya Vajjala, Fabian Tomaschek, Benjamin V. Tucker, Antti Arppe, Trond Trosterud, Thomas L. Spalding, Christina L. Gagné and Jacolien van Rij. Their work appears in journals such as Cognitive Science, The Mental Lexicon, Acta Psychologica, Cognition and Language and Speech.

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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