A Bibliometric Perspective on Analogy-based Reasoning Research Conducted with Children

https://doi.org/10.24130/eccdjecs.19672026101700

Authors

Abstract

The aim of this study is to examine research on analogical reasoning conducted with children through a bibliometric analysis. of the 306 studies retrieved from the Web of Science database using the keywords “analogical reasoning” and “child,” 268 journal articles were included in the analysis. The data were analyzed using the R software and the Biblioshiny package; the results indicate that the field has grown at an annual rate of 3.56% and demonstrates strong visibility with an average citation rate of 21.96. The literature has developed predominantly in the United States, while the Netherlands, the United Kingdom, and Israel stand out in terms of high citation impact. Leiden University, Beijing Normal University, and Bar-Ilan University are among the most productive institutions. Keyword and co-citation networks reveal a thematic shift from theoretical studies toward executive functions, working memory, and educational applications. The findings indicate that the field has evolved into a multicentered and collaboration-oriented structure. Future research is recommended to focus on early childhood, qualitative and longitudinal studies, and digital learning environments.

References

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An r-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Baki, Y. (2022). The use of analogies in the children's work entitled hayâl dükkânı. Journal of Children’s Literature and Language Education, 5(2), 128–153. https://doi.org/10.47935/ceded.1139608

Başerer, D., Berber, Z. B., & Duman, E. Z. (2023). Analojik akıl yürütmenin önemi ve eğitimdeki rolü. Üniversite Araştırmaları Dergisi, 6(4), 481–489. https://doi.org/10.32329/uad.1376052

Bell, A., Solano-Kamaiko, I., Nov, O., & Stoyanovich, J. (2022). It’s just not that simple: An empirical study of the accuracy-explainability trade-off in machine learning for public policy. Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 248–266.

Bilaloğlu, R. G. (2005). Erken çocukluk döneminde fen öğretiminde analoji tekniği. Çukurova Üniversitesi Eğitim Fakültesi Dergisi, 2(30), 72–77.

Bjorklund, D. F. (2023). Children's thinking: Cognitive development and individual differences (7th ed.). SAGE.

Bobrowicz, K., Sahlström, J., Thorstensson, K., Nagy, B., & Psouni, E. (2022). Generalizing solutions across functionally similar problems correlates with world knowledge and working memory in 2.5-to 4.5-year-olds. Cognitive Development, 62, 101181. https://doi.org/10.1016/j.cogdev.2022.101181

Bulgren, J. A., Deshler, D. D., Schumaker, J. B., & Lenz, B. K. (2000). The use and effectiveness of analogical instruction in diverse secondary content classrooms. Journal of Educational Psychology, 92(3), 426–441. https://doi.org/10.1037/0022-0663.92.3.426

Chen, X., Chen, Y., & Yang, X. (2025). Contributions of working memory and inhibitory control to analogical reasoning in preschoolers: the mediating roles of vocabulary knowledge and visual perception. Cognitive Processing, 26, 921-933. https://doi.org/10.1007/s10339-025-01281-w

Chuang, T. Y., Yeh, M. K. C., & Lin, Y. L. (2021). The impact of game playing on students’ reasoning ability, varying according to their cognitive style. Educational Technology & Society, 24(3), 29–43. https://www.jstor.org/stable/27032854

Dagher, Z. R. (1995). Analysis of analogies used by science teachers. Journal of Research in Science Teaching, 32(3), 259–270. https://doi.org/10.1002/tea.3660320306

Danvila-del-Valle, I., Estévez-Mendoza, C., & Lara, F. J. (2019). Human resources training: A bibliometric analysis. Journal of Business Research, 101, 627–636. https://doi.org/10.1016/j.jbusres.2019.02.026

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview ana suidelines. Journal of Business Research, 133(5), 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070

Ergül, A. (2023). Analojik akıl yürütmenin biyomimikri ile desteklenmesi: Doğa ile öğrenen çocuklar. Türk Eğitim Bilimleri Dergisi, 21(2), 879–904. https://doi.org/10.37217/tebd.1161851

Felizardo, M. R., Feixa Rodrigues, N. M., Coelho, A., Silva Sousa, S., Sampaio, A., & Ferreira de Oliveira, E. (2025). Mapping executive function tasks for children: A scoping review for designing a research oriented platform. Computer Science (arXiv:2504.13867). https://doi.org/10.48550/arXiv.2504.13867

Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7(2), 155–170. https://doi.org/10.1207/s15516709cog0702_3

Gentner, D., Loewenstein, J., & Thompson, L. (2003). Learning and transfer: A general role for analogical encoding. Journal of Educational Psychology, 95(2), 393–408. https://doi.org/10.1037/0022-0663.95.2.393

Gentner, D., Loewenstein, J., Thompson, L., & Forbus, K. D. (2009). Reviving inert knowledge: Analogical abstraction supports relational retrieval of past events. Cognitive Science, 33(8), 1343–1382. https://doi.org/10.1111/j.1551-6709.2009.01070.x

Giancola, M., Pino, M. C., Riccio, V., Piccardi, L., & D’Amico, S. (2023). Preschoolers’ perceptual analogical reasoning and map reading: A preliminary study on the mediating effect of spatial language. Children, 10(4), 630. https://doi.org/10.3390/children10040630

Goldwater, M. B., Gentner, D., LaDue, N. D., & Libarkin, J. C. (2021). Analogy generation in science experts and novices. Cognitive Science, 45(9), e13036. https://doi.org/10.1111/cogs.13036

Gray, M. E., & Holyoak, K. J. (2021). Teaching by analogy: From theory to practice. Mind, Brain, and Education, 15(3), 250–263. https://doi.org/10.1111/mbe.12288

Harrison, A., & De Jong, O. (2005). Using multiple analogies: Case study of a chemistry teacher’s preparations, presentations and reflections. In K. Boersma, M. Goedhart, O. de Jong, & H. Eijkelhof (Eds.), Research and the Quality of Science Education (pp. 385–396). Springer. https://doi.org/10.1007/1-4020-3673-6_28

Malvasi, V., Gil-Quintana, J., & Bocciolesi, E. (2022). The projection of gamification and serious games in the learning of mathematics: A multi-case study of secondary schools in Italy. Mathematics, 10(3), 336. https://doi.org/10.3390/math10030336

Moed, H. F. (2005). Citation analysis in research evaluation. Springer. https://doi.org/10.1007/1-4020-3714-7

O’Neil, L. (2019). Investigating to what degree individual differences in language and executive function are related to analogical learning in young children across socio-economic populations (Doctoral dissertation). University of Oregon, Eugene.

Otto, E., Culakova, E., Meng, S., Zhang, Z., Xu, H., Mohile, S., Flannery, M. (2022). Overview of Sankey flow diagrams: Focusing on symptom trajectories in older adults with advanced cancer. Journal of Geriatric Oncology, 13(5), 742 – 746. https://doi.org/10.1016/j.jgo.2021.12.017

Richland, L. E., Morrison, R. G., & Holyoak, K. J. (2006). Children’s development of analogical reasoning: Insights from scene analogy problems. Journal of Experimental Child Psychology, 94(3), 249–273. https://doi.org/10.1016/j.jecp.2006.02.002

Rivas, L. E., & Trench, M. (2025). Analogical reasoning during hypothesis generation: The effects of object and domain similarities on access and transfer. Thinking & Reasoning, 31(2), 158–182. https://doi.org/10.1080/13546783.2024.2409467

Sharma, A., Lysenko, A., Jia, S., Boroevich, K. A., & Tsunoda, T. (2024). Advances in AI and machine learning for predictive medicine. Journal of Human Genetics, 69(10), 487–497. https://doi.org/10.1038/s10038-024-01231-y

Silvey, C., Gentner, D., Richland, L. E., & Goldin-Meadow, S. (2023). Children's early spontaneous comparisons predict later analogical reasoning skills: An investigation of parental influence. Open Mind: Discoveries in Cognitive Science, 7, 483–509. https://doi.org/10.1162/opmi_a_00093

Simms, N. K., Frausel, R. R., & Richland, L. E. (2018). Working memory predicts children's analogical reasoning. Journal of Experimental Child Psychology, 166, 160–177. https://doi.org/10.1016/j.jecp.2017.08.005

Singer Freeman, K. E. (2005). Analogical reasoning in 2-year-olds: The development of access and relational inference. Cognitive Development, 20(2), 214–234. https://doi.org/10.1016/j.cogdev.2005.04.007

Şahin, F. (2000). Okul öncesinde fen bilgisi öğretimi ve aktivite örnekleri. YA-PA Yayınları.

Torabian, S., & Grossman, E. D. (2023). When shapes are more than shapes: Perceptual, developmental, and neurophysiological basis for attributions of animacy and theory of mind. Frontiers in Psychology, 14, 1168739. https://doi.org/10.3389/fpsyg.2023.1168739

Turney, P. D. (2011). Analogy perception applied to seven tests of word comprehension. Journal of Experimental & Theoretical Artificial Intelligence, 23(3), 343–362.

Tzuriel, D. (2024). Analogical thinking modifiability and math processing strategy. Frontiers in Psychology, 15, 1339591. https://doi.org/10.3389/fpsyg.2024.1339591

Tzuriel, D., Weiss, T., & Kashy-Rosenbaum, G. (2024). The effects of working memory training on working memory, self-regulation, and analogical reasoning of preschool children. The British Journal of Educational Psychology, 94(4), 1132–1160. https://doi.org/10.1111/bjep.12709

Van Duijn, M., Van Dijk, B., Kouwenhoven, T., De Valk, W., Spruit, M., & van der Putten, P. (2023). Theory of mind in large language models: Examining performance of 11 state-of-the-art models vs. children aged 7–10 on advanced tests. Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL) (pp. 389–402). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.conll-1.25

Webb, T., Holyoak, K. J., & Lu, H. (2023). Emergent analogical reasoning in large language models. Nature Human Behaviour, 7(9), 1526–1541. https://doi.org/10.48550/arXiv.2212.09196

Xia, M., Poorthuis, A. M., & Thomaes, S. (2024). Children’s overestimation of performance across age, task, and historical time: A meta-analysis. Child Development, 95(3), 1001–1022. https://doi.org/10.1111/cdev.14042

Yang, W., Green, A. E., Chen, Q., Kenett, Y. N., Sun, J., Wei, D., & Qiu, J. (2022). Creative problem solving in knowledge-rich contexts. Trends in Cognitive Sciences, 26(10), 849–859. https://doi.org/10.1016/j.tics.2022.06.012

Yılmaz, K. (2021). Sosyal bilimlerde ve eğitim bilimlerinde sistematik derleme, meta değerlendirme ve bibliyometrik analizler. MANAS Sosyal Araştırmalar Dergisi, 10(2), 1457-1490. https://doi.org/10.33206/mjss.791537

Zhao, Y., Zhang, Y., Yang, X., Qi, Y., Yu, A., Li, L., & Yu, X. (2025). How do working memory, inhibitory control, and phonological processing skills contribute to analogical reasoning in kindergartners, school-age children, and adults. Current Psychology, 44(4), 2820–2836. https://doi.org/10.1007/s12144-025-07325-w

Zijian Ding, A., Srinivasan, S., MacNeil, S., & Chan, J. (2023). Fluid transformers and creative analogies: Exploring large language models’ capacity for augmenting cross-domain analogical creativity. Creativity and Cognition (C&C ’23) (pp. 1–17). ACM. https://doi.org/10.1145/3591196.3593516

Zwirn, H., & Zwirn, D. (2025). Reasoning by analogy and by difference. Journal for General Philosophy of Science, 1–33. https://doi.org/10.1007/s10838-025-09718-8

Published

2026-06-30

How to Cite

Gündoğmuş, T., & Can Yaşar, M. (2026). A Bibliometric Perspective on Analogy-based Reasoning Research Conducted with Children . Journal of Early Childhood Studies, 10(1), 25–51. https://doi.org/10.24130/eccdjecs.19672026101700