David Bannach

1.4k total citations · 1 hit paper
22 papers, 934 citations indexed

About

David Bannach is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, David Bannach has authored 22 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 4 papers in Cognitive Neuroscience. Recurrent topics in David Bannach's work include Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). David Bannach is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). David Bannach collaborates with scholars based in Germany, Switzerland and Austria. David Bannach's co-authors include Paul Lukowicz, Gerald Pirkl, Daniel Roggen, Ricardo Chavarriaga, Alberto Calatroni, Alois Ferscha, Gerhard Tröster, Oliver Amft, José del R. Millán and Thomas Holleczek and has published in prestigious journals such as IEEE Pervasive Computing, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

David Bannach

21 papers receiving 889 citations

Hit Papers

Collecting complex activity datasets in highly rich netwo... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bannach Germany 10 752 269 267 221 129 22 934
Kilian Förster Switzerland 9 696 0.9× 273 1.0× 235 0.9× 241 1.1× 113 0.9× 13 934
Gerald Pirkl Germany 13 696 0.9× 247 0.9× 258 1.0× 215 1.0× 122 0.9× 26 984
Thomas Holleczek Switzerland 9 560 0.7× 222 0.8× 199 0.7× 209 0.9× 112 0.9× 14 787
Marc Kurz Austria 8 581 0.8× 232 0.9× 190 0.7× 158 0.7× 95 0.7× 29 720
Mirco Rossi Switzerland 8 535 0.7× 237 0.9× 210 0.8× 163 0.7× 149 1.2× 17 766
Tâm Huỳnh Germany 5 599 0.8× 231 0.9× 146 0.5× 181 0.8× 138 1.1× 5 780
Hamidreza Bayati Switzerland 7 523 0.7× 217 0.8× 174 0.7× 175 0.8× 94 0.7× 13 658
Pang Wu United States 10 554 0.7× 280 1.0× 184 0.7× 220 1.0× 140 1.1× 14 897
Panu Korpipää Finland 11 767 1.0× 172 0.6× 291 1.1× 279 1.3× 164 1.3× 18 1.2k
Le T. Nguyen United States 12 641 0.9× 368 1.4× 223 0.8× 254 1.1× 166 1.3× 22 1.1k

Countries citing papers authored by David Bannach

Since Specialization
Citations

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

Fields of papers citing papers by David Bannach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bannach

This figure shows the co-authorship network connecting the top 25 collaborators of David Bannach. A scholar is included among the top collaborators of David Bannach 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 David Bannach. David Bannach 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.
Bannach, David. (2015). Tools and Methods to Support Opportunistic Human Activity Recognition. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 4 indexed citations
2.
Calatroni, Alberto, et al.. (2015). Connected musicians - examples of new supportive technologies for musician's performance analysis and daily routine. Repository for Publications and Research Data (ETH Zurich). 141–145. 1 indexed citations
3.
Jänicke, Martin, Bernhard Sick, Paul Lukowicz, & David Bannach. (2014). Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques. 3479. 128–136. 7 indexed citations
4.
Kunze, Kai & David Bannach. (2012). Towards dynamically configurable context recognition systems. National Conference on Artificial Intelligence. 60–64. 1 indexed citations
5.
Kurz, Marc, Alois Ferscha, Alberto Calatroni, et al.. (2012). The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition. International Journal of Sensors Wireless Communications and Control. 1(2). 102–125. 5 indexed citations
6.
Kurz, Marc, Alois Ferscha, Alberto Calatroni, et al.. (2012). The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition. International Journal of Sensors Wireless Communications and Control. 1(2). 102–125. 29 indexed citations
7.
Bannach, David & Paul Lukowicz. (2011). Integrated Tool Chain for Recording, Handling, and Utilizing Large, Multimodal Context Data Sets for Context Recognition Systems.. 2 indexed citations
8.
Bannach, David, Bernhard Sick, & Paul Lukowicz. (2011). Automatic Adaptation of Mobile Activity Recognition Systems to New Sensors. 6 indexed citations
9.
Roggen, Daniel, Alberto Calatroni, Kilian Förster, et al.. (2011). Activity Recognition in Opportunistic Sensor Environments. Procedia Computer Science. 7. 173–174. 11 indexed citations
10.
Lukowicz, Paul, Gerald Pirkl, David Bannach, et al.. (2010). Recording a Complex, Multi Modal Activity Data Set for Context Recognition. 1–166. 20 indexed citations
11.
Chavarriaga, Ricardo, Hesam Sagha, Hamidreza Bayati, et al.. (2010). Robust activity recognition for assistive technologies: Benchmarking machine learning techniques. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
12.
Amft, Oliver, et al.. (2010). Towards wearable sensing-based assessment of fluid intake. TU/e Research Portal. 298–303. 50 indexed citations
13.
Lukowicz, Paul, Gerald Pirkl, David Bannach, et al.. (2010). Recording a complex, multi modal activity data set for context recogntion. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 23 indexed citations
14.
Roggen, Daniel, Alberto Calatroni, Mirco Rossi, et al.. (2010). Collecting complex activity datasets in highly rich networked sensor environments. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 233–240. 524 indexed citations breakdown →
15.
Roggen, Daniel, Kilian Förster, Alberto Calatroni, et al.. (2009). OPPORTUNITY: Towards opportunistic activity and context recognition systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28. 1–6. 69 indexed citations
16.
Franke, Tobias, Paul Lukowicz, Kai Kunze, & David Bannach. (2009). Can a Mobile Phone in a Pocket Reliably Recognize Ambient Sounds?. 161–162. 7 indexed citations
17.
Bannach, David, Oliver Amft, & Paul Lukowicz. (2008). Rapid Prototyping of Activity Recognition Applications. IEEE Pervasive Computing. 7(2). 22–31. 83 indexed citations
18.
Cheng, Jingyuan, David Bannach, & Paul Lukowicz. (2008). On body capacitive sensing for a simple touchless user interface. 113–116. 7 indexed citations
19.
Bannach, David, Oliver Amft, Kai Kunze, et al.. (2007). Waving Real Hand Gestures Recorded by Wearable Motion Sensors to a Virtual Car and Driver in a Mixed-Reality Parking Game. TU/e Research Portal. 32–39. 1 indexed citations
20.
Heinz, Ernst A., Kai Kunze, Matthias J. Gruber, David Bannach, & Paul Lukowicz. (2006). Using Wearable Sensors for Real-Time Recognition Tasks in Games of Martial Arts - An Initial Experiment. 98–102. 69 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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