Michael Smuc

35 papers receiving 291 citations

Peers

Michael Smuc
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 214
  • Human-Computer Interaction 52
  • Ecological Modeling 14
  • Information Systems and Management 22
  • Artificial Intelligence 101
Replace Florian Windhager with:
Florian Windhager Austria
Chelsea Yeh United States
Alice Thudt Canada
Jagoda Walny Canada
Ali Sarvghad United States
Stephan Greene United States
Greta Franzini Germany
Deokgun Park United States
Funda Kivran-Swaine United States
Sergej Zerr Germany
Michael Smuc relative to Florian Windhager Austria Florian Windhager's profile →
Citations per field
00.5×1.5×
Florian Windhager · 1×
Citations per year

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 14 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200933
2 201232
3 200929
4 201128
5 201324
6 201320
7 200816
8 201315
9 201612
10 201611
11 20128
12
A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections.
20168
13 20138
14 20156
15
The Game Lies in the Eye of the Beholder: The Influence of Expertise on Watching Soccer
20106
16 20106
17
Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes.
20166
18 20145
19 20155
20 20165

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 36 papers that have together received 315 indexed citations. Recurring topics across this work include Data Visualization and Analytics (24 papers), Visual and Cognitive Learning Processes (8 papers), Advanced Text Analysis Techniques (8 papers), Multimedia Communication and Technology (6 papers), Video Analysis and Summarization (4 papers), Innovative Human-Technology Interaction (4 papers), Complex Network Analysis Techniques (4 papers) and Usability and User Interface Design (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Human-Computer Interaction (52 citations), Ecological Modeling (14 citations), Information Systems and Management (22 citations) and Artificial Intelligence (101 citations). Michael Smuc has collaborated with scholars based in Austria and United States. Frequent co-authors include Eva Mayr, Florian Windhager, Günther Schreder, Hanna Risku, Margit Pohl, Silvia Miksch, Wolfgang Aigner, Tim Lammarsch, Johannes Gärtner and Simone Kriglstein. Their work appears in journals such as Information Visualization, IEEE Computer Graphics and Applications, Journal of Multimedia, IEEE Transactions on Professional Communication and IEEE Transactions on Visualization and Computer Graphics.

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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