Mourat Tchoshanov

625 total citations
23 papers, 402 citations indexed

About

Mourat Tchoshanov is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Mourat Tchoshanov has authored 23 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Education, 7 papers in Developmental and Educational Psychology and 7 papers in Statistics and Probability. Recurrent topics in Mourat Tchoshanov's work include Mathematics Education and Teaching Techniques (9 papers), Cognitive and developmental aspects of mathematical skills (7 papers) and Innovative Teaching and Learning Methods (4 papers). Mourat Tchoshanov is often cited by papers focused on Mathematics Education and Teaching Techniques (9 papers), Cognitive and developmental aspects of mathematical skills (7 papers) and Innovative Teaching and Learning Methods (4 papers). Mourat Tchoshanov collaborates with scholars based in United States, Russia and Mexico. Mourat Tchoshanov's co-authors include Stephen J. Pape, Lawrence M. Lesser, Nicole Louie, Osvaldo F. Morera, Art M. Duval, William Medina‐Jerez and Scott A. Starks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Educational Studies in Mathematics and Theory Into Practice.

In The Last Decade

Mourat Tchoshanov

18 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mourat Tchoshanov United States 8 347 165 75 73 37 23 402
Jaguthsing Dindyal Singapore 10 304 0.9× 99 0.6× 65 0.9× 91 1.2× 26 0.7× 38 337
Despina A. Stylianou United States 12 445 1.3× 215 1.3× 132 1.8× 95 1.3× 57 1.5× 27 519
Kristen N. Bieda United States 12 368 1.1× 153 0.9× 131 1.7× 39 0.5× 31 0.8× 39 435
Kai‐Lin Yang Taiwan 10 246 0.7× 84 0.5× 84 1.1× 58 0.8× 25 0.7× 38 319
Eva Thanheiser United States 13 464 1.3× 241 1.5× 89 1.2× 102 1.4× 22 0.6× 50 494
Tin Lam Toh Singapore 11 255 0.7× 80 0.5× 62 0.8× 95 1.3× 16 0.4× 60 313
F. D. Rivera United States 14 431 1.2× 296 1.8× 102 1.4× 92 1.3× 41 1.1× 30 512
Ewa Bergqvist Sweden 9 364 1.0× 171 1.0× 92 1.2× 48 0.7× 41 1.1× 22 414
Julia Anghileri United Kingdom 9 396 1.1× 189 1.1× 107 1.4× 103 1.4× 17 0.5× 16 452
Рита Стеблер Switzerland 6 281 0.8× 129 0.8× 139 1.9× 28 0.4× 38 1.0× 20 358

Countries citing papers authored by Mourat Tchoshanov

Since Specialization
Citations

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

Fields of papers citing papers by Mourat Tchoshanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mourat Tchoshanov

This figure shows the co-authorship network connecting the top 25 collaborators of Mourat Tchoshanov. A scholar is included among the top collaborators of Mourat Tchoshanov 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 Mourat Tchoshanov. Mourat Tchoshanov 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.
2.
Tchoshanov, Mourat, et al.. (2024). Analyzing Teacher-Designed Tasks Through the Lens of Procedural and Conceptual Knowledge. Canadian Journal of Science Mathematics and Technology Education. 24(1). 23–38. 1 indexed citations
3.
Louie, Nicole, et al.. (2022). From mistakes, we learn? Mathematics teachers’ epistemological and positional framing of mistakes. Journal of Mathematics Teacher Education. 27(1). 111–136. 8 indexed citations
4.
Tchoshanov, Mourat. (2022). Distance Learning And Digital Didactics: Lessons Learned From A Sceptic. 79–93. 1 indexed citations
5.
Tchoshanov, Mourat, et al.. (2022). Math is beautifully intimidating: Analyzing the conflict between teacher affective disposition and observed positioning-by-others. International Electronic Journal of Mathematics Education. 18(1). em0722–em0722. 1 indexed citations
6.
Tchoshanov, Mourat. (2021). Learning Sciences Perspective on Engineering of Distance Learning. Part 2. Vysshee Obrazovanie v Rossii = Higher Education in Russia. 30(3). 43–58. 3 indexed citations
7.
Tchoshanov, Mourat. (2021). Learning Sciences Perspective on Engineering of Distance Learning. Part 1. Vysshee Obrazovanie v Rossii = Higher Education in Russia. 30(2). 33–49.
8.
Tchoshanov, Mourat, et al.. (2020). Unpacking teacher challenges in understanding and implementing cognitively demanding tasks in secondary school mathematics classrooms. International Journal of Mathematical Education in Science and Technology. 53(8). 2026–2045. 7 indexed citations
9.
Tchoshanov, Mourat, et al.. (2019). Caracterización de las prácticas sociales asociadas a la génesis de la inducción matemática: Un estudio exploratorio en estudiantes de ingeniería. SHILAP Revista de lepidopterología. 43(2). 31–31. 2 indexed citations
10.
Tchoshanov, Mourat, et al.. (2019). Multiple Cross-case Examination of Lower Secondary School Mathematics Teachers’ Topic-Specific Content Knowledge in the U.S. and Russia. Education & Self Development. 14(1). 31–44. 1 indexed citations
11.
Tchoshanov, Mourat. (2018). DIGITAL AGE DIDACTICS: FROM TEACHING TO ENGINEERING OF LEARNING (Part 2). Informatics and Education. 52–60.
12.
Tchoshanov, Mourat. (2018). DIGITAL AGE DIDACTICS: FROM TEACHING TO ENGINEERING OF LEARNING. PART 1. Informatics and Education. 53–62. 2 indexed citations
13.
Tchoshanov, Mourat, et al.. (2017). Analyzing connections between teacher and student topic-specific knowledge of lower secondary mathematics. The Journal of Mathematical Behavior. 47. 54–69. 6 indexed citations
14.
Tchoshanov, Mourat, et al.. (2012). Assessing Pre-Service Elementary Teachers’ Disposition Toward Mathematics Using Open-Ended Metaphor. 1 indexed citations
15.
Tchoshanov, Mourat. (2011). Building students' mathematical proficiency : connecting mathematical ideas using the Tangram. 2011(10). 16–23. 7 indexed citations
16.
Tchoshanov, Mourat. (2010). Relationship between teacher knowledge of concepts and connections, teaching practice, and student achievement in middle grades mathematics. Educational Studies in Mathematics. 76(2). 141–164. 88 indexed citations
17.
Morera, Osvaldo F., et al.. (2009). Assessing problem-solving dispositions: Likelihood-to-act survey. scholarworks - UTEP (The University of Texas at El Paso). 1–8. 6 indexed citations
18.
Lesser, Lawrence M. & Mourat Tchoshanov. (2005). The Effect of Representation and Representational Sequence on Students Understanding. 1–7. 9 indexed citations
19.
Starks, Scott A., et al.. (2004). Rocket project to stimulate interest in science and mathematics. 8. 8_3859–8_3864.
20.
Tchoshanov, Mourat, et al.. (2001). Students' Perceptions of Cross-Disciplinary Team Teaching On Site at a PDS.. 3 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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