Thomas Kubitza

585 citations
34 papers · 486 · h-index 12

Impact in

Papers in

Thomas Kubitza

33 papers receiving 474 citations

Peers

Thomas Kubitza
Comparison fields: 5 of 56
  • Human-Computer Interaction 344
  • Computer Science Applications 57
  • Information Systems and Management 61
  • Computer Vision and Pattern Recognition 179
  • Software 26
Replace Karl-Petter Åkesson with:
Karl-Petter Åkesson Sweden
Kevin Mullet United States
Christopher Oezbek Germany
Aurélien Tabard France
Ron Yeh United States
Bryan Wang United States
Cristina V. Lopes United States
Xavier Alamán Spain
Alan J. Wecker Israel
Iván Sanchéz Milara Finland
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Kubitza

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kubitza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201191
2 201366
3 201451
4 201636
5 201528
6 201324
7 201218
8 201717
9
Recipes for tangible and embodied visit experiences
201516
10 201314
11 201312
12 201611
13
An authoring environment for smart objects in museums : the meSch approach
201610
14 201510
15 20158
16 20148
17 20168
18 20157
19 20167
20 20166

About Thomas Kubitza

Thomas Kubitza is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Networks and Communications, Museology and Information Systems and Management, having authored 34 papers that have together received 486 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (20 papers), Innovative Human-Technology Interaction (9 papers), Augmented Reality Applications (9 papers), Context-Aware Activity Recognition Systems (7 papers), Virtual Reality Applications and Impacts (4 papers), Museums and Cultural Heritage (4 papers), Tactile and Sensory Interactions (4 papers) and Personal Information Management and User Behavior (4 papers). The work is most often cited by research in Human-Computer Interaction (344 citations), Computer Science Applications (57 citations), Information Systems and Management (61 citations), Computer Vision and Pattern Recognition (179 citations) and Software (26 citations). Thomas Kubitza has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Albrecht Schmidt, Alireza Sahami Shirazi, Florian Alt, Nigel Davies, Sarah Clinch, Marc Langheinrich, Alexandra Voit, Adrian Friday, Dominik Weber and Ivan Elhart. Their work appears in journals such as Computer, IEEE Pervasive Computing, Lecture notes in computer science, Electronic workshops in computing and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

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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