Sergey Malykh

119 papers receiving 925 citations

Peers

Sergey Malykh
Comparison fields: 5 of 113
  • Statistics and Probability 214
  • Experimental and Cognitive Psychology 238
  • Developmental and Educational Psychology 202
  • Cognitive Neuroscience 167
  • Education 231
Replace Margherita Malanchini with:
Margherita Malanchini United Kingdom
H. Moriah Sokolowski Canada
Tengfei Wang China
Fengji Geng China
Juan Hernández Spain
Chung Yen Looi United Kingdom
Francesco Sella United Kingdom
Lucy C. Erickson United States
Shannon M. Pruden United States
María Isabel Núñez‐Peña Spain
Sergey Malykh relative to Margherita Malanchini United Kingdom Margherita Malanchini's profile →
Citations per field
00.5×9.8×
Margherita Malanchini · 1×
Citations per year

Countries citing papers authored by Sergey Malykh

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Malykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201372
3 202065
4 201457
5 202239
6 201138
7 200830
8 201726
9 201822
10 200317
11 202017
12 202315
13 202015
14 201514
15 201514
16 201414
17 201613
18 201413
19 201713
20 200911

About Sergey Malykh

Sergey Malykh is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology, Statistics and Probability, Clinical Psychology and Cognitive Neuroscience, having authored 135 papers that have together received 960 indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (33 papers), Cognitive and developmental aspects of mathematical skills (25 papers), Psychology of Development and Education (18 papers), Child and Adolescent Psychosocial and Emotional Development (15 papers), Mathematics Education and Teaching Techniques (11 papers), Functional Brain Connectivity Studies (8 papers), Reading and Literacy Development (7 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Statistics and Probability (214 citations), Experimental and Cognitive Psychology (238 citations), Developmental and Educational Psychology (202 citations), Cognitive Neuroscience (167 citations) and Education (231 citations). Sergey Malykh has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include Tatiana Tikhomirova, Yulia Kovas, Э. К. Хуснутдинова, А. В. Казанцева, Darya Gaysina, Robert Plomin, Maria Grazia Tosto, Philip S. Dale, Ilya Zakharov and Stephen A. Petrill. Their work appears in journals such as Frontiers in Psychology, Personality and Individual Differences, Heliyon, Developmental Science and Scientific Reports.

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.

Explore authors with similar magnitude of impact