Johan Jeuring

4.0k total citations
137 papers, 1.8k citations indexed

About

Johan Jeuring is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Johan Jeuring has authored 137 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 41 papers in Computer Science Applications and 31 papers in Information Systems. Recurrent topics in Johan Jeuring's work include Logic, programming, and type systems (52 papers), Teaching and Learning Programming (33 papers) and Intelligent Tutoring Systems and Adaptive Learning (28 papers). Johan Jeuring is often cited by papers focused on Logic, programming, and type systems (52 papers), Teaching and Learning Programming (33 papers) and Intelligent Tutoring Systems and Adaptive Learning (28 papers). Johan Jeuring collaborates with scholars based in Netherlands, Sweden and United Kingdom. Johan Jeuring's co-authors include Bastiaan Heeren, Hieke Keuning, Patrik Jansson, Ralf Hinze, Andres Löh, Lambert Meertens, José Pedro Magalhães, Frans J. Prins, Jan Van Leeuwen and Roland Backhouse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Computers & Education.

In The Last Decade

Johan Jeuring

127 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Jeuring Netherlands 23 1.0k 684 569 404 324 137 1.8k
Kathi Fisler United States 20 717 0.7× 475 0.7× 553 1.0× 413 1.0× 198 0.6× 85 1.5k
Kim B. Bruce United States 25 984 1.0× 569 0.8× 446 0.8× 266 0.7× 485 1.5× 92 1.8k
Susan H. Rodger United States 23 399 0.4× 1.5k 2.1× 395 0.7× 345 0.9× 192 0.6× 110 2.1k
Richard J. LeBlanc United States 18 292 0.3× 406 0.6× 693 1.2× 220 0.5× 80 0.2× 82 1.4k
Owen Astrachan United States 19 208 0.2× 722 1.1× 253 0.4× 169 0.4× 65 0.2× 93 1.0k
Edward F. Gehringer United States 21 298 0.3× 535 0.8× 598 1.1× 65 0.2× 47 0.1× 181 1.6k
Robert R. Kessler United States 13 249 0.2× 672 1.0× 1.0k 1.8× 203 0.5× 33 0.1× 55 1.5k
Eric Roberts United States 23 166 0.2× 731 1.1× 324 0.6× 109 0.3× 58 0.2× 88 1.3k
Radek Pelánek Czechia 17 621 0.6× 593 0.9× 258 0.5× 231 0.6× 120 0.4× 73 1.1k
Jaime Spacco United States 18 228 0.2× 689 1.0× 572 1.0× 454 1.1× 24 0.1× 46 1.2k

Countries citing papers authored by Johan Jeuring

Since Specialization
Citations

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

Fields of papers citing papers by Johan Jeuring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Jeuring

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Jeuring. A scholar is included among the top collaborators of Johan Jeuring 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 Johan Jeuring. Johan Jeuring 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.
Szabo, Claudia, Miranda C. Parker, Johan Jeuring, et al.. (2025). Models of Mastery Learning for Computing Education. Aaltodoc (Aalto University). 1092–1098. 1 indexed citations
2.
Kiesler, Natalie, et al.. (2024). "Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers. OHMdok (Technische Hochschule Nürnberg). 38–44. 1 indexed citations
3.
Jeuring, Johan, Hieke Keuning, Samiha Marwan, et al.. (2022). Towards Giving Timely Formative Feedback and Hints to Novice Programmers. Aaltodoc (Aalto University). 95–115. 17 indexed citations
4.
Drijvers, Paul, et al.. (2020). Combined inner and outer loop feedback in an intelligent tutoring system for statistics in higher education. Journal of Computer Assisted Learning. 37(2). 319–332. 13 indexed citations
5.
Heeren, Bastiaan, et al.. (2020). Generation and Use of Hints and Feedback in a Hilbert-Style Axiomatic Proof Tutor. International Journal of Artificial Intelligence in Education. 31(1). 99–133. 1 indexed citations
6.
Heeren, Bastiaan, et al.. (2020). Intelligent Feedback on Hypothesis Testing. International Journal of Artificial Intelligence in Education. 30(4). 616–636. 2 indexed citations
7.
Jeuring, Johan, et al.. (2017). Building a Generic Feedback System for Rule-Based Problems. Utrecht University Repository (Utrecht University). 1 indexed citations
8.
Jeuring, Johan, et al.. (2017). Scenarios in virtual learning environments for one-to-one communication skills training. International Journal of Educational Technology in Higher Education. 14(1). 9 indexed citations
9.
Jeuring, Johan, et al.. (2016). Vorm en effect van Programmeeronderwijs in het primair onderwijs. Utrecht University Repository (Utrecht University). 1 indexed citations
10.
Keuning, Hieke, Johan Jeuring, & Bastiaan Heeren. (2016). Towards a Systematic Review of Automated Feedback Generation for Programming Exercises – Extended Version. Data Archiving and Networked Services (DANS). 6 indexed citations
11.
Jeuring, Johan, et al.. (2013). A DSL for describing the artificial intelligence in real-time video games. 8–14. 3 indexed citations
12.
Jeuring, Johan, Jacques Carette, Gabriel Dos Reis, et al.. (2012). Intelligent Computer Mathematics: 11th International Conference, AISC 2012, 19th Symposium, Calculemus 2012, 5th International Workshop, DML 2012. Springer eBooks. 491–491. 1 indexed citations
13.
Jeuring, Johan, et al.. (2006). Feedback in an interactive equation solver. Data Archiving and Networked Services (DANS). 53–68. 7 indexed citations
14.
Jeuring, Johan. (2005). Bottom-up Grammar Analysis. 1(3). 257–62. 1 indexed citations
15.
Jeuring, Johan, et al.. (2005). Generic Haskell User's Guide -- Version 1.42 (Coral). Data Archiving and Networked Services (DANS). 1 indexed citations
16.
Gibbons, Jeremy, et al.. (2003). Generic programming : IFIP TC2/WG2.1 Working Conference on Generic Programming, July 11-12, 2002, Dagstuhl, Germany. Kluwer Academic eBooks. 1 indexed citations
17.
Jeuring, Johan, et al.. (2002). Generic Programming for XML Tools. Utrecht University Repository (Utrecht University). 2 indexed citations
18.
Jansson, Patrik & Johan Jeuring. (2000). A Framework for Polytypic Programming on Terms, with an Application to Rewriting. Chalmers Publication Library (Chalmers University of Technology). 10 indexed citations
19.
Backhouse, Roland, Patrik Jansson, Johan Jeuring, & Lambert Meertens. (1999). Generic Programming - An Introduction -. Utrecht University Repository (Utrecht University). 62 indexed citations
20.
Jansson, Patrik & Johan Jeuring. (1998). PolyLib - a polytypic function library. Chalmers Research (Chalmers University of Technology). 6 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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