Almira Kustubayeva

484 total citations
24 papers, 310 citations indexed

About

Almira Kustubayeva is a scholar working on Cognitive Neuroscience, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Almira Kustubayeva has authored 24 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 7 papers in Social Psychology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Almira Kustubayeva's work include EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (7 papers) and Human-Automation Interaction and Safety (6 papers). Almira Kustubayeva is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (7 papers) and Human-Automation Interaction and Safety (6 papers). Almira Kustubayeva collaborates with scholars based in Kazakhstan, United States and United Kingdom. Almira Kustubayeva's co-authors include Gerald Matthews, Julian Abich, Lauren Reinerman-Jones, April Rose Panganiban, Gerald Matthews, G. Matthews, Richard D. Roberts, Ryan Wohleber, Corey K. Fallon and Gerald Matthews and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Personality and Individual Differences.

In The Last Decade

Almira Kustubayeva

21 papers receiving 300 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Almira Kustubayeva Kazakhstan 9 163 131 93 40 31 24 310
Christian Scharinger Germany 10 341 2.1× 73 0.6× 154 1.7× 37 0.9× 8 0.3× 16 478
David Henderickx Belgium 5 185 1.1× 87 0.7× 94 1.0× 52 1.3× 6 0.2× 9 313
Izabela Szumska Poland 7 248 1.5× 57 0.4× 60 0.6× 37 0.9× 26 0.8× 12 341
Yukako Sasaki Japan 9 272 1.7× 142 1.1× 65 0.7× 30 0.8× 12 0.4× 13 405
Kyle A. Pettijohn United States 11 214 1.3× 66 0.5× 70 0.8× 8 0.2× 15 0.5× 19 354
James S. P. Macdonald United Kingdom 6 463 2.8× 99 0.8× 131 1.4× 10 0.3× 14 0.5× 8 543
Motonobu Ishii Japan 11 202 1.2× 159 1.2× 109 1.2× 12 0.3× 26 0.8× 27 409
Elle van Heusden Netherlands 6 258 1.6× 80 0.6× 86 0.9× 16 0.4× 9 0.3× 11 363
Ryuta Aoki Japan 12 218 1.3× 47 0.4× 59 0.6× 52 1.3× 17 0.5× 32 357
Yichuan Liu United States 9 259 1.6× 106 0.8× 32 0.3× 34 0.8× 6 0.2× 16 387

Countries citing papers authored by Almira Kustubayeva

Since Specialization
Citations

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

Fields of papers citing papers by Almira Kustubayeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Almira Kustubayeva

This figure shows the co-authorship network connecting the top 25 collaborators of Almira Kustubayeva. A scholar is included among the top collaborators of Almira Kustubayeva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Almira Kustubayeva. Almira Kustubayeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bouzid, Amal, Rifat Hamoudi, Ekaterina A. Semenova, et al.. (2025). Association Between Genetically Predicted Memory and Self-Reported Foreign Language Proficiency. Genes. 16(5). 589–589. 1 indexed citations
2.
Karimova, Altynay, et al.. (2025). Focused Modulation of Brain Activity: A Narrative Review. Biomedicines. 13(8). 1889–1889. 1 indexed citations
3.
Kustubayeva, Almira, et al.. (2024). Machine learning algorithms for age prediction based on linear and non-linear parameters of electroencephalogram data. SHILAP Revista de lepidopterología. 100. 1015–1015.
4.
Ahmetov, Ildus I., Amal Bouzid, Emiliya S. Egorova, et al.. (2023). KIBRA Gene Variant Is Associated with Ability in Chess and Science. Genes. 14(1). 204–204. 5 indexed citations
5.
Kustubayeva, Almira, James C. Eliassen, Gerald Matthews, & Erik Nelson. (2023). FMRI study of implicit emotional face processing in patients with MDD with melancholic subtype. Frontiers in Human Neuroscience. 17. 1029789–1029789. 4 indexed citations
6.
Bouzid, Amal, Hamid Alhaj, Almira Kustubayeva, et al.. (2023). Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1. Neurobiology of Stress. 26. 100555–100555. 8 indexed citations
7.
Kustubayeva, Almira, et al.. (2022). Temporal changes in ERP amplitudes during sustained performance of the Attention Network Test. International Journal of Psychophysiology. 182. 142–158. 7 indexed citations
8.
Kustubayeva, Almira, et al.. (2022). Functional MRI study of feedback-based reinforcement learning in depression. Frontiers in Neuroinformatics. 16. 1028121–1028121. 4 indexed citations
9.
Kustubayeva, Almira, et al.. (2021). Lyapunov Exponent of Theta Rhythm as a Marker of Depression During Attentional Network Test. Biological Psychiatry. 89(9). S164–S164. 1 indexed citations
10.
11.
Matthews, Gerald, et al.. (2020). EEG Coherence Metrics for Vigilance: Sensitivity to Workload, Time-on-Task, and Individual Differences. Applied Psychophysiology and Biofeedback. 45(3). 183–194. 8 indexed citations
12.
Kustubayeva, Almira, et al.. (2020). Major Depression and Brain Asymmetry in a Decision-Making Task with Negative and Positive Feedback. Symmetry. 12(12). 2118–2118. 16 indexed citations
13.
Kustubayeva, Almira, et al.. (2019). The ANT Executive Control Index: No Evidence for Temporal Decrement. Human Factors The Journal of the Human Factors and Ergonomics Society. 63(2). 254–273. 9 indexed citations
14.
Matthews, Gerald, Lauren Reinerman-Jones, Julian Abich, & Almira Kustubayeva. (2017). Metrics for individual differences in EEG response to cognitive workload: Optimizing performance prediction. Personality and Individual Differences. 118. 22–28. 42 indexed citations
15.
Kustubayeva, Almira, et al.. (2014). Use of EEG Workload Indices for Diagnostic Monitoring of Vigilance Decrement. Human Factors The Journal of the Human Factors and Ergonomics Society. 56(6). 1136–1149. 101 indexed citations
16.
Fallon, Corey K., April Rose Panganiban, Ryan Wohleber, et al.. (2014). Emotional intelligence, cognitive ability and information search in tactical decision-making. Personality and Individual Differences. 65. 24–29. 32 indexed citations
17.
Kustubayeva, Almira, et al.. (2012). Rational and Experiential Thinking Style: Adaptation of Epstein's Inventory. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Kustubayeva, Almira & Gerald Matthews. (2012). Differences in EEG Oscillations during Vasoactive Stress Reactions in Extroverts and Introverts. RUDN Journal of Psychology and Pedagogics. 114–121.
19.
Kustubayeva, Almira, et al.. (2012). Diagnostic Monitoring Of Vigilance Decrement Using EEG Workload Indices. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 56(1). 203–207. 8 indexed citations
20.
Kustubayeva, Almira, et al.. (2011). Emotional Intelligence and Decision Making. SHILAP Revista de lepidopterología. 1 indexed citations

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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