Johan Jeuring

4.0k citations
137 papers · 1.8k · h-index 23

Impact in

Papers in

Johan Jeuring

127 papers receiving 1.7k citations

Peers

Johan Jeuring
Comparison fields: 5 of 85
  • Computer Science Applications 684
  • Software 404
  • Hardware and Architecture 256
  • Artificial Intelligence 1.0k
  • Information Systems 569
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Johan Jeuring, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Johan Jeuring Line = papers co-authored together Johan Jeuring links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018175
2 1997149
3 2016107
4 201773
5
Generic Programming - An Introduction -
199962
6 201351
7 200848
8 200345
9 200444
10 200941
11 201039
12 202039
13 201837
14 202136
15 202236
16 201932
17 199531
18 200227
19
Advanced Functional Programming, First International Spring School on Advanced Functional Programming Techniques-Tutorial Text
199526
20 201224

About Johan Jeuring

Johan Jeuring is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computational Theory and Mathematics and Software, having authored 137 papers that have together received 1.8k indexed citations. Recurring topics across this work include Logic, programming, and type systems (52 papers), Teaching and Learning Programming (33 papers), Intelligent Tutoring Systems and Adaptive Learning (28 papers), Software Engineering Research (27 papers), Software Testing and Debugging Techniques (18 papers), Online Learning and Analytics (17 papers), Parallel Computing and Optimization Techniques (17 papers) and Formal Methods in Verification (15 papers). The work is most often cited by research in Computer Science Applications (684 citations), Software (404 citations), Hardware and Architecture (256 citations), Artificial Intelligence (1.0k citations) and Information Systems (569 citations). Johan Jeuring has collaborated with scholars based in Netherlands, Sweden and United Kingdom. Frequent co-authors include Bastiaan Heeren, Hieke Keuning, Patrik Jansson, Ralf Hinze, Andres Löh, Lambert Meertens, José Pedro Magalhães, Frans J. Prins, Roland Backhouse and Erik Meijer. Their work appears in journals such as Science of Computer Programming, ACM SIGPLAN Notices, Journal of Functional Programming, International Journal of Artificial Intelligence in Education and Journal of Computer Assisted Learning.

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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