Håkan Burden

606 citations
38 papers · 304 · h-index 11

Impact in

Papers in

    • Software Engineering Techniques and Practices 13
    • Software Engineering Research 8
    • Advanced Software Engineering Methodologies 10
    • Natural Language Processing Techniques 3

Håkan Burden

32 papers receiving 272 citations

Peers

Håkan Burden
Comparison fields: 5 of 56
  • Software 92
  • Computer Science Applications 46
  • Information Systems 164
  • Artificial Intelligence 108
  • Management Information Systems 23
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Citations per field
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Citations per year

Countries citing papers authored by Håkan Burden

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Burden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Håkan Burden, 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 Håkan Burden Line = papers co-authored together Håkan Burden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201542
2 201135
3 201728
4 201625
5 200522
6 201421
7 201618
8 201713
9 201911
10 201410
11 201910
12
How MAD are we? Empirical evidence for Model-Driven Agile Development
20149
13
Characterizing software engineering students’ discussions during peer instruction: opportunities for learning and implications for teaching
20166
14
Pair lecturing to model modeling and encourage active learning
20126
15 20116
16 20205
17
Extending Agile Practices in Automotive MDE
20135
18 20224
19
Software illustrating a unified approach to multimodality and multilinguality in the in-home domain
20064
20
Catalyzing Knowledge Transfer in Innovation Ecosystems through Contests
20163

About Håkan Burden

Håkan Burden is a scholar working on Information Systems, Artificial Intelligence, Software, Education and Developmental and Educational Psychology, having authored 38 papers that have together received 304 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (13 papers), Model-Driven Software Engineering Techniques (11 papers), Advanced Software Engineering Methodologies (10 papers), Software Engineering Research (8 papers), Innovative Teaching and Learning Methods (4 papers), Natural Language Processing Techniques (3 papers), Innovative Approaches in Technology and Social Development (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Software (92 citations), Computer Science Applications (46 citations), Information Systems (164 citations), Artificial Intelligence (108 citations) and Management Information Systems (23 citations). Håkan Burden has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Rogardt Heldal, Jan-Philipp Steghöfer, Jon Whittle, John Hutchinson, Mark Rouncefield, Hiva Alahyari, Dominik Haneberg, Grischa Liebel, Tom Adawi and Morgan Ericsson. Their work appears in journals such as International journal of engineering education, Teaching in Higher Education, IEEE Software, International Journal of Sustainability in Higher Education and Transportation Research Part F Traffic Psychology and Behaviour.

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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