Kilian Förster

1.3k total citations · 1 hit paper
13 papers, 934 citations indexed

About

Kilian Förster is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kilian Förster has authored 13 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Kilian Förster's work include Context-Aware Activity Recognition Systems (10 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Kilian Förster is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), IoT and Edge/Fog Computing (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Kilian Förster collaborates with scholars based in Switzerland, Germany and Austria. Kilian Förster's co-authors include Gerhard Tröster, Daniel Roggen, Alberto Calatroni, Marc Bächlin, Paul Lukowicz, Alois Ferscha, Ricardo Chavarriaga, David Bannach, José del R. Millán and Thomas Holleczek and has published in prestigious journals such as European Journal of Gastroenterology & Hepatology, Journal of Ambient Intelligence and Humanized Computing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Kilian Förster

13 papers receiving 899 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Collecting complex activity datasets in highly rich networked sensor environments

2010 524 citations Daniel Roggen, Alberto Calatroni et al. Infoscience (Ecole Polytechnique Fédérale de Lausanne) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kilian Förster Switzerland	9	696	273	241	235	125	13	934
David Bannach Germany	10	752 1.1×	269 1.0×	221 0.9×	267 1.1×	117 0.9×	22	934
Gerald Pirkl Germany	13	696 1.0×	247 0.9×	215 0.9×	258 1.1×	105 0.8×	26	984
Pang Wu United States	10	554 0.8×	280 1.0×	220 0.9×	184 0.8×	72 0.6×	14	897
Thomas Holleczek Switzerland	9	560 0.8×	222 0.8×	209 0.9×	199 0.8×	62 0.5×	14	787
Le T. Nguyen United States	12	641 0.9×	368 1.3×	254 1.1×	223 0.9×	52 0.4×	22	1.1k
Nikhil Dandekar India	3	761 1.1×	189 0.7×	330 1.4×	188 0.8×	96 0.8×	10	1.0k
Mirco Rossi Switzerland	8	535 0.8×	237 0.9×	163 0.7×	210 0.9×	52 0.4×	17	766
Marc Kurz Austria	8	581 0.8×	232 0.8×	158 0.7×	190 0.8×	61 0.5×	29	720
Hamidreza Bayati Switzerland	7	523 0.8×	217 0.8×	175 0.7×	174 0.7×	51 0.4×	13	658
Tâm Huỳnh Germany	5	599 0.9×	231 0.8×	181 0.8×	146 0.6×	76 0.6×	5	780

Countries citing papers authored by Kilian Förster

Since Specialization

Citations

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

Fields of papers citing papers by Kilian Förster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kilian Förster

This figure shows the co-authorship network connecting the top 25 collaborators of Kilian Förster. A scholar is included among the top collaborators of Kilian Förster 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 Kilian Förster. Kilian Förster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Förster, Kilian, et al.. (2023). Cultivation-based characterization of biliary microbiota in bile samples collected during routine endoscopic retrograde cholangiography: 10 years of experience at a tertiary center. European Journal of Gastroenterology & Hepatology. 35(10). 1159–1167. 1 indexed citations

Roggen, Daniel, Alberto Calatroni, Kilian Förster, et al.. (2011). Activity Recognition in Opportunistic Sensor Environments. Procedia Computer Science. 7. 173–174. 11 indexed citations

Roggen, Daniel, Kilian Förster, Alberto Calatroni, & Gerhard Tröster. (2011). The adARC pattern analysis architecture for adaptive human activity recognition systems. Journal of Ambient Intelligence and Humanized Computing. 4(2). 169–186. 45 indexed citations

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

Roggen, Daniel, Kilian Förster, Alberto Calatroni, Andreas Bulling, & Gerhard Tröster. (2010). On the Issue of Variability in Labels and Sensor Configurations in Activity Recognition Systems. MPG.PuRe (Max Planck Society). 1–4. 4 indexed citations

Förster, Kilian, et al.. (2010). Incremental kNN Classifier Exploiting Correct-Error Teacher for Activity Recognition. 445–450. 36 indexed citations

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 →

Bächlin, Marc, Kilian Förster, & Gerhard Tröster. (2009). SwimMaster. 215–224. 113 indexed citations

Förster, Kilian, et al.. (2009). Evolving discriminative features robust to sensor displacement for activity recognition in body area sensor networks. 43–48. 35 indexed citations

10.

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

11.

Förster, Kilian, Daniel Roggen, & Gerhard Tröster. (2009). Unsupervised Classifier Self-Calibration through Repeated Context Occurences: Is there Robustness against Sensor Displacement to Gain?. 77–84. 58 indexed citations

12.

Förster, Kilian, Marc Bächlin, & Gerhard Tröster. (2009). Non-interrupting user interfaces for electronic body-worn swim devices. 1–4. 28 indexed citations

13.

Bächlin, Marc, et al.. (2008). An automatic parameter extraction method for the 7×50m Stroke Efficiency Test. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12. 442–447. 7 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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