Sakhavat Mammadov

747 total citations · 1 hit paper
30 papers, 455 citations indexed

About

Sakhavat Mammadov is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Clinical Psychology. According to data from OpenAlex, Sakhavat Mammadov has authored 30 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Experimental and Cognitive Psychology, 20 papers in Social Psychology and 13 papers in Clinical Psychology. Recurrent topics in Sakhavat Mammadov's work include Education, Achievement, and Giftedness (16 papers), Motivation and Self-Concept in Sports (11 papers) and Personality Traits and Psychology (6 papers). Sakhavat Mammadov is often cited by papers focused on Education, Achievement, and Giftedness (16 papers), Motivation and Self-Concept in Sports (11 papers) and Personality Traits and Psychology (6 papers). Sakhavat Mammadov collaborates with scholars based in United States, Türkiye and Ireland. Sakhavat Mammadov's co-authors include Tracy L. Cross, Jennifer Riedl Cross, Thomas J. Ward, Nancy B. Hertzog, Mihyeon Kim, Paula Olszewski‐Kubilius, Rachel U. Mun, Lori Andersen, Zhenqiu Lu and Shiyu Wang and has published in prestigious journals such as Personality and Individual Differences, Journal of Personality and Contemporary Educational Psychology.

In The Last Decade

Sakhavat Mammadov

29 papers receiving 440 citations

Hit Papers

Big Five personality traits and academic performance: A m... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakhavat Mammadov United States 11 184 183 174 137 61 30 455
Harry Nejad Australia 4 131 0.7× 229 1.3× 167 1.0× 148 1.1× 64 1.0× 5 462
Ronghuan Jiang China 13 153 0.8× 231 1.3× 182 1.0× 280 2.0× 106 1.7× 30 643
Sungjun Won United States 10 116 0.6× 171 0.9× 200 1.1× 211 1.5× 112 1.8× 16 493
Le Xu China 10 175 1.0× 274 1.5× 149 0.9× 255 1.9× 104 1.7× 15 601
Fabian T. C. Schmidt Germany 10 157 0.9× 325 1.8× 165 0.9× 99 0.7× 39 0.6× 20 491
Raven Rinas Germany 13 107 0.6× 220 1.2× 123 0.7× 202 1.5× 67 1.1× 21 503
Amal Alhadabi United States 7 89 0.5× 195 1.1× 105 0.6× 144 1.1× 42 0.7× 17 412
Anna Tapola Finland 12 307 1.7× 263 1.4× 65 0.4× 253 1.8× 154 2.5× 30 573
Robert Grassinger Germany 12 187 1.0× 253 1.4× 50 0.3× 167 1.2× 93 1.5× 30 438
Rubén Fernández-Alonso Spain 14 85 0.5× 153 0.8× 175 1.0× 388 2.8× 39 0.6× 30 592

Countries citing papers authored by Sakhavat Mammadov

Since Specialization
Citations

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

Fields of papers citing papers by Sakhavat Mammadov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakhavat Mammadov

This figure shows the co-authorship network connecting the top 25 collaborators of Sakhavat Mammadov. A scholar is included among the top collaborators of Sakhavat Mammadov 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 Sakhavat Mammadov. Sakhavat Mammadov 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.
Mammadov, Sakhavat, et al.. (2025). School Experiences of Gifted Adolescents and Their Peers. Psychology in the Schools. 62(9). 3273–3284.
2.
Mammadov, Sakhavat, Shiyu Wang, & Zhenqiu Lu. (2024). Personality types and their associations with psychological resilience, coping with stress, and life satisfaction among undergraduate students: A latent profile analysis approach. Personality and Individual Differences. 222. 112599–112599. 7 indexed citations
3.
Mammadov, Sakhavat, et al.. (2024). A Meta‐Analytic Review of Personality and Teacher–Student Relationships. Journal of Personality. 93(4). 949–972. 4 indexed citations
4.
Mammadov, Sakhavat, et al.. (2024). Personality Profiles Among Honors and Regular Undergraduate Students: Associations With Well-Being and Strategies for Coping With Stress. Gifted Child Quarterly. 69(1). 16–33. 1 indexed citations
5.
Mammadov, Sakhavat & Nancy B. Hertzog. (2023). Million Dollar Question: What is the Most Effective and Equitable Way to Deliver Services to Advanced Learners?. Journal of School Leadership. 34(2). 151–176. 1 indexed citations
6.
Mammadov, Sakhavat, et al.. (2023). Autonomy support, personality, and mindset in predicting academic performance among early adolescents: The mediating role of self‐determined motivation. Psychology in the Schools. 60(10). 3754–3769. 2 indexed citations
7.
Mammadov, Sakhavat, et al.. (2023). A meta-analytic review of the relationships between autonomy support and positive learning outcomes. Contemporary Educational Psychology. 75. 102235–102235. 25 indexed citations
8.
9.
Mammadov, Sakhavat. (2022). Personality profiles of gifted adolescents and relations with life satisfaction, perceived social support, and academic achievement. High Ability Studies. 34(1). 87–108. 8 indexed citations
10.
Mammadov, Sakhavat & Thomas J. Ward. (2022). Exploring the Relations Between Personality, Implicit Theories, and Subjective Well-Being Among High-Ability Undergraduate Students. Gifted Child Quarterly. 67(1). 28–43. 5 indexed citations
11.
Mammadov, Sakhavat, Tracy L. Cross, & Paula Olszewski‐Kubilius. (2021). A Look Beyond Aptitude: The Relationship Between Personality Traits, Autonomous Motivation, and Academic Achievement in Gifted Students. Roeper Review. 43(3). 161–172. 17 indexed citations
12.
Mammadov, Sakhavat & Nancy B. Hertzog. (2021). Changes in students’ achievement goals in advanced learning environment: a multivariate multilevel model. Educational Psychology. 41(9). 1097–1116. 3 indexed citations
13.
Mammadov, Sakhavat. (2021). Big Five personality traits and academic performance: A meta‐analysis. Journal of Personality. 90(2). 222–255. 200 indexed citations breakdown →
14.
Hertzog, Nancy B., Kristen N. Lamb, & Sakhavat Mammadov. (2021). Parent Perspectives on Sending Their Children to College Early. Journal of Advanced Academics. 32(4). 399–434. 3 indexed citations
15.
Mammadov, Sakhavat. (2020). A Comparison of Creativity‐Relevant Personal Characteristics in Adolescents Across Personality Profiles. The Journal of Creative Behavior. 55(2). 294–305. 6 indexed citations
16.
Cross, Jennifer Riedl, et al.. (2019). A Cross-Cultural Study of the Social Experience of Giftedness. Roeper Review. 41(4). 224–242. 28 indexed citations
17.
Cross, Tracy L., et al.. (2018). Psychological Heterogeneity Among Honors College Students. journal for the education of the gifted. 41(3). 242–272. 18 indexed citations
18.
Mammadov, Sakhavat, Thomas J. Ward, Jennifer Riedl Cross, & Tracy L. Cross. (2016). Use of Latent Profile Analysis in Studies of Gifted Students. Roeper Review. 38(3). 175–184. 16 indexed citations
19.
Mammadov, Sakhavat. (2015). Current Policies and Policy Efforts for the Education of Gifted Children in Turkey. Roeper Review. 37(3). 139–149. 2 indexed citations
20.
Mammadov, Sakhavat. (2012). The Gifted Education in Azerbaijan. Journal of Studies in Education. 2(2). 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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