Manuela Waldner

652 citations
42 papers · 465 · h-index 12

Impact in

Papers in

    • Data Visualization and Analytics 23
    • Video Analysis and Summarization 6
    • Visual Attention and Saliency Detection 5
    • Augmented Reality Applications 5
    • Image and Video Quality Assessment 4
    • Interactive and Immersive Displays 14
    • Usability and User Interface Design 5
    • Virtual Reality Applications and Impacts 4

Manuela Waldner

39 papers receiving 451 citations

Peers

Manuela Waldner
Comparison fields: 5 of 80
  • Human-Computer Interaction 163
  • Computer Vision and Pattern Recognition 314
  • Computer Graphics and Computer-Aided Design 19
  • Information Systems and Management 32
  • Biophysics 23
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Citations per field
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Citations per year

Countries citing papers authored by Manuela Waldner

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Waldner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manuela Waldner, 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 Manuela Waldner Line = papers co-authored together Manuela Waldner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 200642
3 201431
4 201831
5
Visual links across applications
201029
6 201728
7 201923
8 200916
9 201115
10 202111
11 201911
12 201911
13 202011
14 20119
15 20169
16 20118
17 20158
18 20087
19 20107
20 20167

About Manuela Waldner

Manuela Waldner is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Artificial Intelligence and Information Systems and Management, having authored 42 papers that have together received 465 indexed citations. Recurring topics across this work include Data Visualization and Analytics (23 papers), Interactive and Immersive Displays (14 papers), Video Analysis and Summarization (6 papers), Visual Attention and Saliency Detection (5 papers), Usability and User Interface Design (5 papers), Augmented Reality Applications (5 papers), Virtual Reality Applications and Impacts (4 papers) and Image and Video Quality Assessment (4 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Computer Vision and Pattern Recognition (314 citations), Computer Graphics and Computer-Aided Design (19 citations), Information Systems and Management (32 citations) and Biophysics (23 citations). Manuela Waldner has collaborated with scholars based in Austria, Norway and Germany. Frequent co-authors include Dieter Schmalstieg, Ivan Viola, Marc Streit, Markus Steinberger, Alexander Lex, Eduard Gröller, Mark Billinghurst, Michael Haller, Werner Purgathofer and Raphaël Grasset. Their work appears in journals such as Computer Graphics Forum, Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Information Visualization.

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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