Cyril Brom

2.1k total citations · 1 hit paper
74 papers, 1.1k citations indexed

About

Cyril Brom is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Cyril Brom has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Developmental and Educational Psychology, 21 papers in Artificial Intelligence and 18 papers in Education. Recurrent topics in Cyril Brom's work include Educational Games and Gamification (22 papers), Artificial Intelligence in Games (13 papers) and Child Development and Digital Technology (12 papers). Cyril Brom is often cited by papers focused on Educational Games and Gamification (22 papers), Artificial Intelligence in Games (13 papers) and Child Development and Digital Technology (12 papers). Cyril Brom collaborates with scholars based in Czechia, United States and Slovakia. Cyril Brom's co-authors include Jiří Lukavský, Filip Děchtěrenko, Daniel Klement, Vít Šisler, Sidney K. D’Mello, Marek Urban, Kamila Urban, David Greger, Jana Straková and Roman Švaříček and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Computers & Education.

In The Last Decade

Cyril Brom

69 papers receiving 1.0k citations

Hit Papers

ChatGPT improves creative problem-solving performance in ... 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cyril Brom Czechia 16 463 297 204 204 184 74 1.1k
Muhterem Dindar Finland 21 465 1.0× 361 1.2× 112 0.5× 387 1.9× 196 1.1× 39 1.2k
Meihua Qian United States 11 637 1.4× 314 1.1× 298 1.5× 247 1.2× 74 0.4× 23 1.2k
Deanne Adams United States 10 553 1.2× 218 0.7× 315 1.5× 148 0.7× 148 0.8× 16 982
Christof van Nimwegen Netherlands 9 854 1.8× 278 0.9× 130 0.6× 214 1.0× 131 0.7× 32 1.2k
Erik D. van der Spek Netherlands 13 1.0k 2.2× 299 1.0× 129 0.6× 232 1.1× 150 0.8× 31 1.5k
Yu‐chu Yeh Taiwan 23 378 0.8× 468 1.6× 379 1.9× 189 0.9× 99 0.5× 58 1.3k
Alexander Skulmowski Germany 16 299 0.6× 244 0.8× 335 1.6× 114 0.6× 128 0.7× 36 1.2k
Matthew Ventura United States 17 625 1.3× 210 0.7× 292 1.4× 324 1.6× 429 2.3× 37 1.3k
Yanghee Kim United States 18 522 1.1× 670 2.3× 149 0.7× 264 1.3× 417 2.3× 80 1.4k
Virginia Clinton‐Lisell United States 19 375 0.8× 396 1.3× 149 0.7× 243 1.2× 87 0.5× 68 1.1k

Countries citing papers authored by Cyril Brom

Since Specialization
Citations

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

Fields of papers citing papers by Cyril Brom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Brom

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Brom. A scholar is included among the top collaborators of Cyril Brom 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 Cyril Brom. Cyril Brom 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.
Urban, Marek, et al.. (2025). ChatGPT can make mistakes. Check important info.” Epistemic beliefs and metacognitive accuracy in students' integration of ChatGPT content into academic writing. British Journal of Educational Technology. 56(5). 1897–1918. 4 indexed citations
2.
Urban, Marek, et al.. (2025). Prompting for creative problem-solving: A process-mining study. Learning and Instruction. 99. 102156–102156. 1 indexed citations
3.
Děchtěrenko, Filip, et al.. (2025). Principles of the Internet - Model Lessons for Lower Secondary School: Experience Report. 1274–1280. 1 indexed citations
4.
Urban, Marek, et al.. (2024). ChatGPT improves creative problem-solving performance in university students: An experimental study. Computers & Education. 215. 105031–105031. 150 indexed citations breakdown →
5.
Brom, Cyril, et al.. (2024). Clouds, Hacking and App Permissions: Model Lessons for Grades 5-7: Experience Report. 26–32. 3 indexed citations
6.
Brom, Cyril, et al.. (2023). Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study. Scientific Reports. 13(1). 19156–19156.
7.
Lukavský, Jiří, et al.. (2023). Contextual animation in multimedia learning materials for pre-adolescents: The saga of null results continues. Learning and Instruction. 87. 101803–101803. 3 indexed citations
8.
Martinková, Patrícia, et al.. (2023). Is video games' effect on attitudes universal? Results from an empirical study comparing video games' impact on the attitude change of players with different backgrounds. Journal of Computer Assisted Learning. 40(2). 667–684. 4 indexed citations
9.
Ropovik, Ivan, et al.. (2023). Video games and attitude change: A meta-analysis. Contemporary Educational Psychology. 75. 102225–102225. 7 indexed citations
10.
Šisler, Vít, et al.. (2021). Can video games change attitudes towards history? Results from a laboratory experiment measuring short‐ and long‐term effects. Journal of Computer Assisted Learning. 37(5). 1348–1369. 16 indexed citations
11.
Děchtěrenko, Filip, et al.. (2021). Customization in educational computer games and its effect on learning: Experimental study with primary school children. Journal of Computer Assisted Learning. 37(5). 1370–1382. 7 indexed citations
12.
Děchtěrenko, Filip, et al.. (2020). Is contextual animation needed in multimedia learning games for children? An eye tracker study. Journal of Computer Assisted Learning. 37(2). 305–318. 3 indexed citations
13.
Šisler, Vít, et al.. (2020). To solve or to observe? The case of problem‐solving interactivity within child learning games. Journal of Computer Assisted Learning. 36(6). 981–996. 1 indexed citations
14.
Lukavský, Jiří, et al.. (2019). Anthropomorphisms in multimedia learning: Attract attention but do not enhance learning?. Journal of Computer Assisted Learning. 35(4). 555–568. 30 indexed citations
15.
Hřebı́čková, Martina, Martin Jelínek, Marek Blatný, et al.. (2016). Big Five Inventory: Základní psychometrické charakteristiky české verze BFI-44 a BFI-10.. ASEP. 60(6). 7 indexed citations
16.
Brom, Cyril, et al.. (2014). Spice It Up! Enriching Open World NPC Simulation Using Constraint Satisfaction. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 16–22. 3 indexed citations
17.
Brom, Cyril, et al.. (2014). An AI System for Large Open Virtual World. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(1). 44–51. 4 indexed citations
18.
Kadlec, Rudolf, et al.. (2012). Planning Is the Game: Action Planning as a Design Tool and Game Mechanism. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(1). 160–166. 2 indexed citations
19.
Brom, Cyril, et al.. (2008). Hierarchical Petri Nets for Story Plots Featuring Virtual Humans. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 4(1). 2–9. 15 indexed citations
20.
Brom, Cyril, et al.. (2006). POSH Tools for Game Agent Development by Students and Non-Programmers. 10 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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