Michael Thuné

36 papers receiving 406 citations

Peers

Michael Thuné
Comparison fields: 5 of 63
  • Computer Science Applications 276
  • Developmental and Educational Psychology 168
  • Software 37
  • Media Technology 78
  • Hardware and Architecture 44
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Citations per year

Countries citing papers authored by Michael Thuné

Since Specialization
Citations

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

Fields of papers citing papers by Michael Thuné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Thuné, 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 Michael Thuné Line = papers co-authored together Michael Thuné links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005113
2 200580
3 200952
4 200548
5 200025
6 200916
7 201815
8 199712
9 198610
10
Characterization of domain-based partitioners for parallel SAMR applications
200010
11 200310
12 19918
13 19977
14 20206
15 20136
16 20234
17 19904
18
Portability and data structures in scientific computing : Object-oriented design of utility routines in Fortran
19923
19 19903
20
Students’ Conceptions of Computer Programming
20103

About Michael Thuné

Michael Thuné is a scholar working on Computer Science Applications, Numerical Analysis, Hardware and Architecture, Developmental and Educational Psychology and Media Technology, having authored 36 papers that have together received 463 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Innovative Teaching and Learning Methods (7 papers), Experimental Learning in Engineering (5 papers), Numerical methods for differential equations (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Computer Science Applications (276 citations), Developmental and Educational Psychology (168 citations), Software (37 citations), Media Technology (78 citations) and Hardware and Architecture (44 citations). Michael Thuné has collaborated with scholars based in Sweden and United States. Frequent co-authors include Anna Eckerdal, Anders Berglund, Patrick O’Kane, Neil Roach, Sverker Holmgren, Manish Parashar, Anders Sjöberg, Lina von Sydow, Elisabeth Larsson and Jarmo Rantakokko. Their work appears in journals such as European Journal of Engineering Education, Parallel Computing, The Philosophical Quarterly, International journal of engineering education and Future Generation Computer Systems.

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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