Michael Smuc

28 papers receiving 197 citations

Peers

Michael Smuc
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 153
  • Human-Computer Interaction 37
  • Ecological Modeling 10
  • Artificial Intelligence 67
  • Information Systems and Management 14
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Countries citing papers authored by Michael Smuc

Since Specialization
Citations

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

Fields of papers citing papers by Michael Smuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Michael Smuc, 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 Smuc Line = papers co-authored together Michael Smuc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200928
2 200927
3 201127
4 201223
5 201320
6 201610
7 20169
8 20128
9
A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections.
20167
10 20106
11
The Game Lies in the Eye of the Beholder: The Influence of Expertise on Watching Soccer
20105
12 20155
13 20155
14
Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes.
20165
15 20144
16 20163
17 20143
18 20163
19 20103
20 20153

About Michael Smuc

Michael Smuc is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 29 papers that have together received 218 indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Advanced Text Analysis Techniques (7 papers), Visual and Cognitive Learning Processes (7 papers), Multimedia Communication and Technology (5 papers), Video Analysis and Summarization (4 papers), Innovative Human-Technology Interaction (4 papers), Complex Network Analysis Techniques (3 papers) and Usability and User Interface Design (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Human-Computer Interaction (37 citations), Ecological Modeling (10 citations), Artificial Intelligence (67 citations) and Information Systems and Management (14 citations). Michael Smuc has collaborated with scholars based in Austria and United States. Frequent co-authors include Eva Mayr, Florian Windhager, Hanna Risku, Silvia Miksch, Günther Schreder, Wolfgang Aigner, Tim Lammarsch, Johannes Gärtner, Margit Pohl and Paolo Federico. Their work appears in journals such as Information Visualization, Journal of Multimedia, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Professional Communication and IEEE Computer Graphics and Applications.

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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