Jari Laru

1.1k total citations
37 papers, 687 citations indexed

About

Jari Laru is a scholar working on Information Systems, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Jari Laru has authored 37 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Developmental and Educational Psychology and 11 papers in Computer Science Applications. Recurrent topics in Jari Laru's work include Mobile Learning in Education (12 papers), Innovative Teaching and Learning Methods (12 papers) and Teaching and Learning Programming (8 papers). Jari Laru is often cited by papers focused on Mobile Learning in Education (12 papers), Innovative Teaching and Learning Methods (12 papers) and Teaching and Learning Programming (8 papers). Jari Laru collaborates with scholars based in Finland, Canada and United States. Jari Laru's co-authors include Sanna Järvelä, Piia Näykki, Toan Vu‐Khanh, Hanna Järvenoja, Jonna Malmberg, Allyson F. Hadwin, Paul A. Kirschner, Mariel Miller, C.T. Nguyen and Roy B. Clariana and has published in prestigious journals such as Computers & Education, The Internet and Higher Education and Educational Technology & Society.

In The Last Decade

Jari Laru

32 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jari Laru Finland	13	280	252	179	162	76	37	687
Junhong Xiao China	14	91 0.3×	253 1.0×	128 0.7×	105 0.6×	25 0.3×	29	509
Michael Vallance Japan	14	110 0.4×	140 0.6×	52 0.3×	68 0.4×	46 0.6×	71	556
Chih‐Cheng Lin Taiwan	12	207 0.7×	186 0.7×	222 1.2×	43 0.3×	75 1.0×	28	551
Stephen T. Kerr United States	15	169 0.6×	331 1.3×	108 0.6×	60 0.4×	80 1.1×	53	673
Yujung Ko United States	9	96 0.3×	260 1.0×	235 1.3×	167 1.0×	68 0.9×	20	788
Ingrid Richardson Australia	16	46 0.2×	62 0.2×	31 0.2×	24 0.1×	336 4.4×	53	639
Md Abdullah Al Mamun Bangladesh	12	100 0.4×	358 1.4×	107 0.6×	102 0.6×	46 0.6×	29	548
Stephen Krause United States	14	192 0.7×	436 1.7×	34 0.2×	70 0.4×	12 0.2×	119	856
Shu‐Yun Chien Taiwan	10	177 0.6×	236 0.9×	262 1.5×	93 0.6×	36 0.5×	16	913

Countries citing papers authored by Jari Laru

Since Specialization

Citations

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

Fields of papers citing papers by Jari Laru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Laru

This figure shows the co-authorship network connecting the top 25 collaborators of Jari Laru. A scholar is included among the top collaborators of Jari Laru 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 Jari Laru. Jari Laru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Laru, Jari, et al.. (2026). Towards accessible AI for addressing students’ academic dropout: an auto machine learning and explainable artificial intelligence approach. Universal Access in the Information Society. 25(1).

Laru, Jari, et al.. (2025). The antecedents of pre-service teachers’ AI literacy: perceptions about own AI driven applications, attitude towards AI and knowledge in machine learning. European Journal of Teacher Education. 48(5). 964–986. 5 indexed citations

Çelik, İsmail, et al.. (2025). Co-constructing adaptive lesson plans with GenAI: Pre-service teachers' Intelligent-TPACK and prompt engineering strategies. Computers & Education. 241. 105485–105485. 1 indexed citations

Kahila, Juho, Henriikka Vartiainen, Mohammed Saqr, et al.. (2025). An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending. Proceedings of the AAAI Conference on Artificial Intelligence. 39(28). 29203–29211. 1 indexed citations

Kahila, Juho, et al.. (2024). An Educational Tool for Learning about Social Media Tracking, Profiling, and Recommendation. 110–112. 1 indexed citations

Vartiainen, Henriikka, et al.. (2024). A No-Code AI Education Tool for Learning AI in K-12 by Making Machine Learning-Driven Apps. 105–109. 2 indexed citations

Tedre, Matti, et al.. (2023). Generation AI: Participatory Machine Learning Co-Design Projects with K-9 Students in Finland. 657–657. 2 indexed citations

Vuopala, Essi, et al.. (2023). Alakoululaiset yhteisöllisinä oppijoina– Tapaustutkimus 4. luokkalaisten STEAM-projektin kontekstissa . University of Oulu Repository (University of Oulu). 7(1). 51–72.

Katz, Marcos, Iqrar Ahmed, Jari Laru, & Juha Häkkinen. (2020). Interactive Visible Light Communications (iVLC): Supporting Wireless Communications and Smart Visual Interaction with a Common Lighting Infrastructure. University of Oulu Repository (University of Oulu). 1–6. 6 indexed citations

10.

Laru, Jari, et al.. (2020). Exploring technology-oriented Fab Lab facilitators’ role as educators in K-12 education: Focus on scaffolding novice students’ learning in digital fabrication activities. International Journal of Child-Computer Interaction. 26. 100207–100207. 21 indexed citations

11.

Milara, Iván Sanchéz, et al.. (2019). The STEAM path. 68. 1–3. 5 indexed citations

12.

Laru, Jari, et al.. (2015). Designing Simple Tools for Socially Shared Regulation: Experiences of Using Google Docs and Mobile SRL Tools in Mathematics Education.. Computer Supported Collaborative Learning. 6 indexed citations

13.

Laru, Jari & Sanna Järvelä. (2013). Using Gartner's Hype Cycle as a Basis to Analyze Research on the Educational Use of Ubiquitous Computing.. Computer Supported Collaborative Learning. 280–287. 1 indexed citations

14.

Vu‐Khanh, Toan, et al.. (2009). Mechanics and mechanism of cut resistance of protective materials. Theoretical and Applied Fracture Mechanics. 52(1). 7–13. 25 indexed citations

15.

Laru, Jari & Sanna Järvelä. (2008). Using web2.0 Software and Mobile Devices for Creating Shared Understanding among Virtual Learning Communities. 3. 228–230. 6 indexed citations

16.

Järvelä, Sanna, et al.. (2007). Structuring and Regulating Collaborative Learning in Higher Education with Wireless Networks and Mobile Tools.. Educational Technology & Society. 10(4). 71–79. 78 indexed citations

17.

Liukkunen, Kari, et al.. (2005). Developing new mobile services for the Universities -University students’ conceptions of their needs for mobile tools for scaffolding learning activities. EdMedia: World Conference on Educational Media and Technology. 2005(1). 1579–1586. 6 indexed citations

18.

Nguyen, C.T., Toan Vu‐Khanh, & Jari Laru. (2005). A Study on the Puncture Resistance of Rubber Materials Used in Protective Clothing. Journal of ASTM International. 2(4). 1–14. 7 indexed citations

19.

Laru, Jari, C.T. Nguyen, & Toan Vu‐Khanh. (2004). A study on the puncture resistance characterization of protective clothing materials. 1 indexed citations

20.

Laru, Jari, et al.. (1989). The Microstructure of Copolymers of Vinyl Chloride with Ethylene, Propylene, and Isobutylene. Journal of Macromolecular Science Part A - Chemistry. 26(1). 69–92. 2 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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