Ján Schneider

1.8k total citations · 1 hit paper
49 papers, 846 citations indexed

About

Ján Schneider is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Ján Schneider has authored 49 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Science Applications and 10 papers in Developmental and Educational Psychology. Recurrent topics in Ján Schneider's work include Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (9 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Ján Schneider is often cited by papers focused on Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (9 papers) and Intelligent Tutoring Systems and Adaptive Learning (7 papers). Ján Schneider collaborates with scholars based in Germany, Netherlands and United Kingdom. Ján Schneider's co-authors include Hendrik Drachsler, Daniele Di Mitri, Marcus Specht, Sebastian Wollny, Joshua Weidlich, Dirk Börner, Peter van Rosmalen, Marc Rittberger, Roland Klemke and Wolfgang Greller and has published in prestigious journals such as Sensors, Pediatric Research and British Journal of Educational Technology.

In The Last Decade

Ján Schneider

42 papers receiving 802 citations

Hit Papers

Are We There Yet? - A Systematic Literature Review on Cha... 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
Ján Schneider Germany 14 314 303 205 140 125 49 846
Vanessa Echeverría Australia 17 394 1.3× 186 0.6× 237 1.2× 169 1.2× 119 1.0× 60 791
Daniele Di Mitri Germany 12 317 1.0× 273 0.9× 174 0.8× 121 0.9× 102 0.8× 29 660
Michael Kickmeier-Rust Austria 15 242 0.8× 263 0.9× 373 1.8× 183 1.3× 161 1.3× 70 928
Mei‐Rong Alice Chen Taiwan 15 246 0.8× 263 0.9× 214 1.0× 398 2.8× 200 1.6× 36 1.0k
Seongyong Lee South Korea 12 257 0.8× 380 1.3× 137 0.7× 129 0.9× 118 0.9× 46 930
Xiaoyan Chu China 5 240 0.8× 213 0.7× 71 0.3× 109 0.8× 158 1.3× 9 699
Jesús G. Boticario Spain 23 592 1.9× 447 1.5× 302 1.5× 142 1.0× 341 2.7× 108 1.3k
Manuel Caeiro Rodríguez Spain 16 457 1.5× 179 0.6× 209 1.0× 285 2.0× 283 2.3× 157 1.3k
Τhrasyvoulos Tsiatsos Greece 18 198 0.6× 135 0.4× 364 1.8× 261 1.9× 179 1.4× 102 990
Pavel Smutný Czechia 8 177 0.6× 319 1.1× 62 0.3× 72 0.5× 154 1.2× 15 756

Countries citing papers authored by Ján Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Ján Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Schneider

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Schneider. A scholar is included among the top collaborators of Ján Schneider 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 Ján Schneider. Ján Schneider 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.
Alomari, Mahmoud A., et al.. (2025). Evaluating WEBPOSE, a Posture Feedback System for Oral Presentations. 24(1). 162–169.
3.
Mitri, Daniele Di, et al.. (2024). Multimodal and immersive systems for skills development and education. British Journal of Educational Technology. 55(4). 1456–1464. 2 indexed citations
4.
Mitri, Daniele Di, Ján Schneider, Ioana Jivet, et al.. (2024). I don't have time! But keep me in the loop: Co‐designing requirements for a learning analytics cockpit with teachers. Journal of Computer Assisted Learning. 40(6). 2681–2699. 5 indexed citations
5.
Schneider, Ján, et al.. (2024). Beyond hard workout: A multimodal framework for personalised running training with immersive technologies. British Journal of Educational Technology. 55(4). 1528–1559. 3 indexed citations
6.
Schneider, Ján, et al.. (2023). Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading. Open University of the Netherlands Research Portal. 585–591. 2 indexed citations
7.
Wollny, Sebastian, Daniele Di Mitri, Ioana Jivet, et al.. (2023). Students' expectations of Learning Analytics across Europe. Journal of Computer Assisted Learning. 39(4). 1325–1338. 7 indexed citations
8.
Schneider, Ján, et al.. (2023). Assessing the Lakehouse: Analysis, Requirements and Definition. Fachbereich Informatik (University of Stuttgart). 44–56. 4 indexed citations
9.
Kiesler, Natalie, et al.. (2023). Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths. International Journal of Information and Education Technology. 13(3). 423–429. 1 indexed citations
10.
Schneider, Ján, et al.. (2022). Connecting the dots – A literature review on learning analytics indicators from a learning design perspective. Journal of Computer Assisted Learning. 40(6). 2432–2470. 28 indexed citations
11.
Schneider, Ján, et al.. (2021). Digital self‐control interventions for distracting media multitasking ‐ A systematic review. Journal of Computer Assisted Learning. 37(5). 1217–1231. 19 indexed citations
12.
Rueden, Laura von, et al.. (2021). Street-Map Based Validation of Semantic Segmentation in Autonomous Driving. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
13.
Mitri, Daniele Di, Ján Schneider, & Hendrik Drachsler. (2021). Keep Me in the Loop: Real-Time Feedback with Multimodal Data. International Journal of Artificial Intelligence in Education. 32(4). 1093–1118. 16 indexed citations
14.
Wollny, Sebastian, Ján Schneider, Daniele Di Mitri, et al.. (2021). Are We There Yet? - A Systematic Literature Review on Chatbots in Education. Frontiers in Artificial Intelligence. 4. 654924–654924. 246 indexed citations breakdown →
15.
Mitri, Daniele Di, Ján Schneider, Marcus Specht, & Hendrik Drachsler. (2019). Multimodal Pipeline: A generic approach for handling multimodal data for supporting learning. Data Archiving and Networked Services (DANS). 2 indexed citations
16.
Schneider, Ján, et al.. (2019). Dancing Salsa with Machines—Filling the Gap of Dancing Learning Solutions. Sensors. 19(17). 3661–3661. 15 indexed citations
17.
Mitri, Daniele Di, Ján Schneider, Marcus Specht, & Hendrik Drachsler. (2019). Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks. Sensors. 19(14). 3099–3099. 20 indexed citations
18.
Mitri, Daniele Di, Ján Schneider, Marcus Specht, & Hendrik Drachsler. (2018). The Big Five: Addressing Recurrent Multimodal Learning Data Challenges. Open University of the Netherlands Research Portal. 420–424. 10 indexed citations
19.
Schneider, Ján, Dirk Börner, Peter van Rosmalen, & Marcus Specht. (2017). Presentation Trainer: what experts and computers can tell about your nonverbal communication. Journal of Computer Assisted Learning. 33(2). 164–177. 19 indexed citations
20.
Rosmalen, Peter van, et al.. (2015). Feedback Design in Multimodal Dialogue Systems. Open University of the Netherlands Research Portal. 209–217. 5 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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