Michael Smuc

409 total citations
29 papers, 218 citations indexed

About

Michael Smuc is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Michael Smuc has authored 29 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 9 papers in Sociology and Political Science and 8 papers in Artificial Intelligence. Recurrent topics in Michael Smuc's work include Data Visualization and Analytics (20 papers), Visual and Cognitive Learning Processes (7 papers) and Advanced Text Analysis Techniques (7 papers). Michael Smuc is often cited by papers focused on Data Visualization and Analytics (20 papers), Visual and Cognitive Learning Processes (7 papers) and Advanced Text Analysis Techniques (7 papers). Michael Smuc collaborates with scholars based in Austria and United States. Michael Smuc's co-authors include Eva Mayr, Florian Windhager, Hanna Risku, Silvia Miksch, Günther Schreder, Wolfgang Aigner, Tim Lammarsch, Johannes Gärtner, Margit Pohl and Paolo Federico and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and IEEE Transactions on Professional Communication.

In The Last Decade

Michael Smuc

28 papers receiving 197 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Smuc Austria 8 153 67 44 37 21 29 218
Evanthia Dimara France 7 212 1.4× 104 1.6× 43 1.0× 31 0.8× 19 0.9× 14 305
Chelsea Yeh United States 3 176 1.2× 62 0.9× 43 1.0× 37 1.0× 13 0.6× 6 256
Lyndsey Franklin United States 9 137 0.9× 80 1.2× 25 0.6× 11 0.3× 27 1.3× 19 262
Jagoda Walny Canada 9 185 1.2× 43 0.6× 54 1.2× 109 2.9× 8 0.4× 15 274
Fabian Sperrle Germany 10 152 1.0× 115 1.7× 23 0.5× 12 0.3× 21 1.0× 16 239
Gonzalo Gabriel Méndez Ecuador 7 127 0.8× 58 0.9× 59 1.3× 34 0.9× 8 0.4× 22 267
Greta Franzini Germany 6 122 0.8× 120 1.8× 44 1.0× 12 0.3× 15 0.7× 24 295
Andreas Bueckle United States 6 105 0.7× 55 0.8× 29 0.7× 20 0.5× 5 0.2× 10 217
Mija M. Van Der Wege United States 4 105 0.7× 94 1.4× 28 0.6× 51 1.4× 12 0.6× 5 243
Cristina Segalin Italy 7 81 0.5× 70 1.0× 41 0.9× 11 0.3× 19 0.9× 11 240

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-authorship network of co-authors of Michael Smuc

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Smuc. A scholar is included among the top collaborators of Michael Smuc 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 Michael Smuc. Michael Smuc 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
1.
Mayr, Eva, Günther Schreder, Michael Smuc, & Florian Windhager. (2016). Looking at the Representations in our Mind. 96–103. 10 indexed citations
2.
Windhager, Florian, Eva Mayr, Günther Schreder, et al.. (2016). Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes.. 20–24. 5 indexed citations
3.
Windhager, Florian, Eva Mayr, Günther Schreder, & Michael Smuc. (2016). Linked Information Visualization for Linked Open Government Data. A Visual Synthetics Approach to Governmental Data and Knowledge Collections. JeDEM - eJournal of eDemocracy and Open Government. 8(2). 87–116. 3 indexed citations
4.
Windhager, Florian, et al.. (2016). A Mental Models Perspective on Designing Information Visualizations for Political Communication. JeDEM - eJournal of eDemocracy and Open Government. 8(3). 80–99. 9 indexed citations
5.
Schreder, Günther, Florian Windhager, Michael Smuc, & Eva Mayr. (2016). Supporting Cognition in the Face of Political Data and Discourse: A Mental Models Perspective on Designing Information Visualization Systems. 3 indexed citations
6.
Smuc, Michael, et al.. (2015). Gesundheitsförderung durch Stress- und Burnout-Prophylaxe mit ätherischen Ölen für alle Berufsgruppen im Wiener Otto-Wagner-Spital. Complementary Medicine Research. 22(3). 185–194. 5 indexed citations
7.
Smuc, Michael. (2015). Just the other side of the coin? From error to insight analysis. Information Visualization. 15(4). 312–324. 5 indexed citations
8.
Windhager, Florian, et al.. (2015). A Concept for the Exploratory Visualization of Patent Network Dynamics. 268–273. 2 indexed citations
9.
Windhager, Florian, Michael Smuc, & Lukas Zenk. (2014). Conferences, Coffee and Complexity: Supporting Cognition and Communication at Conventions. 2. 78–83. 2 indexed citations
10.
Smuc, Michael. (2014). Just the other side of the coin?. 35–40. 3 indexed citations
11.
Windhager, Florian & Michael Smuc. (2014). The Arts of the Possible. Information Visualization in the Field of Politics.. JeDEM - eJournal of eDemocracy and Open Government. 6(2). 151–165. 4 indexed citations
12.
Windhager, Florian, Michael Smuc, Lukas Zenk, et al.. (2013). On Visualizing Knowledge Flows at a University Department. Procedia - Social and Behavioral Sciences. 100. 127–143. 2 indexed citations
13.
Pohl, Margit, Michael Smuc, & Eva Mayr. (2012). The User Puzzle—Explaining the Interaction with Visual Analytics Systems. IEEE Transactions on Visualization and Computer Graphics. 18(12). 2908–2916. 23 indexed citations
14.
Federico, Paolo, Wolfgang Aigner, Silvia Miksch, Florian Windhager, & Michael Smuc. (2012). Vertigo zoom. 437–440. 8 indexed citations
15.
Mayr, Eva, et al.. (2011). Narrative Interaction as Means for Intuitive Public Information Systems. 7(3). 1 indexed citations
16.
Risku, Hanna, Eva Mayr, Florian Windhager, & Michael Smuc. (2011). An extended model of knowledge communication: the situational view of dealing with asimmetries. Dialnet (Universidad de la Rioja). 33(3). 168–186. 1 indexed citations
17.
Smuc, Michael, Eva Mayr, & Florian Windhager. (2010). The Game Lies in the Eye of the Beholder: The Influence of Expertise on Watching Soccer. eScholarship (California Digital Library). 32(32). 5 indexed citations
18.
Mayr, Eva, Hanna Risku, Michael Smuc, & Florian Windhager. (2009). Finding Your Way in Chronoland: Visual Metaphors for Orientation of Temporal Data Explorers. eScholarship (California Digital Library). 31(31). 2 indexed citations
19.
Risku, Hanna, Eva Mayr, & Michael Smuc. (2009). Situated interaction and cognition in the wild, wild world: unleashing the power of users as innovators. Journal of Multimedia. 5(4). 287–300. 2 indexed citations
20.
Smuc, Michael, Eva Mayr, Tim Lammarsch, et al.. (2009). To Score or Not to Score? Tripling Insights for Participatory Design. IEEE Computer Graphics and Applications. 29(3). 29–38. 28 indexed citations

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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