Susanne Boll

293 papers receiving 4.5k citations

Peers

Susanne Boll
Comparison fields: 5 of 136
  • Human-Computer Interaction 2.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Social Psychology 1.1k
  • Cognitive Neuroscience 1.1k
  • Automotive Engineering 487
Replace Andreas Butz with:
Andreas Butz Germany
Manfred Tscheligi Austria
Enrico Rukzio Germany
Florian Alt Germany
Luca Chittaro Italy
Dario D. Salvucci United States
Andrew T. Duchowski United States
Stefan Schneegaß Germany
Wilko Heuten Germany
Marcus Nyström Sweden
Susanne Boll relative to Andreas Butz Germany Andreas Butz's profile →
Citations per field
00.5×1.5×2.2×
Andreas Butz · 1×
Citations per year

Countries citing papers authored by Susanne Boll

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Boll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Boll

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Boll. A scholar is included among the top collaborators of Susanne Boll 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 Susanne Boll. Susanne Boll 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
#WorkIndexed citations
1 0
2 0
3 3
4 5
5 25
6 2
7 1
8 33
9 1
10 1
11 19
12
PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis
6
13
Proceedings of the 2017 ACM on Multimedia Conference
12
14 2
15 41
16
Open Sensor Platforms: The Sensor Web Enablement Framework and Beyond.
4
17 1
18
Geospatially Fucused Web Crawling.
2
19
Emergent Semantics in Personalized Multimedia Content.
8
20
Personalized mobile multimedia meets location-based services
7

About Susanne Boll

Susanne Boll is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology, having authored 303 papers that have together received 4.7k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (70 papers), Interactive and Immersive Displays (60 papers) and Human-Automation Interaction and Safety (56 papers). The work is most often cited by research in Human-Computer Interaction (2.3k citations), Computer Vision and Pattern Recognition (1.2k citations) and Social Psychology (1.1k citations). Susanne Boll has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Wilko Heuten, Niels Henze, Benjamin Poppinga, Martin Pielot, Marion Koelle, Swamy Ananthanarayan, Shadan Sadeghian Borojeni, Abdallah El Ali, Andreas Löcken and Thomas Schlömer. Their work appears in journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Knowledge and Data Engineering and International Journal of Human-Computer Studies.

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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