Matthias Laschke

722 citations
39 papers · 428 indexed · h-index 12
Topics
Innovative Human-Technology Interaction (25 papers)Behavioral Health and Interventions (9 papers)Persona Design and Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsACM Transactions on Computer-Human Interaction

In The Last Decade

Matthias Laschke

36 papers receiving 412 citations

Peers

Matthias Laschke
Comparison fields: 5 of 81
  • Human-Computer Interaction 243
  • Social Psychology 106
  • Sociology and Political Science 90
  • Applied Psychology 64
  • Experimental and Cognitive Psychology 48
Replace Kai Eckoldt with:
Kai Eckoldt Germany
Daniel Ullrich Germany
Rogério DePaula United States
Aykut Coşkun Türkiye
Daniel Harrison United Kingdom
Heekyoung Jung United States
Alethea Blackler Australia
Yu Shu Taiwan
Joep Frens Netherlands
Ana Caraban Portugal
Matthias Laschke relative to Kai Eckoldt Germany Kai Eckoldt's profile →
Citations per field
00.5×1.5×2.2×
Kai Eckoldt · 1×
Citations per year

Countries citing papers authored by Matthias Laschke

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Laschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Laschke

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Laschke. A scholar is included among the top collaborators of Matthias Laschke 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 Matthias Laschke. Matthias Laschke 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
#WorkIndexed citations
1 0
2 0
3 3
4 1
5 17
6 0
7 1
8 3
9 19
10 1
11 2
12 8
13 16
14 1
15 3
16 12
17
Designing Moments of Meaning and Pleasure. Experience Design and Happiness
135
18 2
19 1
20
Mayor or patron? The difference be- tween a badge and a meaningful story
19

About Matthias Laschke

Matthias Laschke is a scholar working on Human-Computer Interaction, Applied Psychology and General Decision Sciences, having authored 39 papers that have together received 428 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (25 papers), Behavioral Health and Interventions (9 papers) and Persona Design and Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (243 citations), Applied Psychology (64 citations) and Social Psychology (106 citations). Matthias Laschke has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Marc Hassenzahl, Sarah Diefenbach, Kai Eckoldt, Eva Lenz, Joonhwan Kim, Flavius Kehr, Philipp Wintersberger, Lenneke Kuijer, Lara Christoforakos and Christoph Braun. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and ACM Transactions on Computer-Human Interaction.

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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