Bert Arnrich

5.7k total citations · 3 hit papers
160 papers, 3.7k citations indexed

About

Bert Arnrich is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Bert Arnrich has authored 160 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 31 papers in Cardiology and Cardiovascular Medicine and 31 papers in Biomedical Engineering. Recurrent topics in Bert Arnrich's work include Context-Aware Activity Recognition Systems (26 papers), Non-Invasive Vital Sign Monitoring (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Bert Arnrich is often cited by papers focused on Context-Aware Activity Recognition Systems (26 papers), Non-Invasive Vital Sign Monitoring (13 papers) and EEG and Brain-Computer Interfaces (13 papers). Bert Arnrich collaborates with scholars based in Germany, Switzerland and Türkiye. Bert Arnrich's co-authors include Gerhard Tröster, Johannes Schumm, Cem Ersoy, Roberto La Marca, Cornelia Setz, Amir Muaremi, Yekta Said Can, Ulrike Ehlert, Bjarne Pfitzner and Nico Steckhan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Bert Arnrich

151 papers receiving 3.6k citations

Hit Papers

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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.

Discriminating Stress From Cognitive Load Using a Wearable EDA Device

2009 505 citations Bert Arnrich, Johannes Schumm et al. profile →
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

2019 298 citations Bert Arnrich, Cem Ersoy et al. profile →
Federated Learning in a Medical Context: A Systematic Literature Review

2021 148 citations Bjarne Pfitzner, Nico Steckhan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bert Arnrich	970	905	734	619	541	160	3.7k
Manolis Tsiknakis	617 0.6×	826 0.9×	467 0.6×	586 0.9×	363 0.7×	240	4.0k
Ioannis Pavlidis	1.2k 1.2×	687 0.8×	628 0.9×	573 0.9×	742 1.4×	143	4.3k
Kristof Van Laerhoven	988 1.0×	592 0.7×	564 0.8×	578 0.9×	145 0.3×	172	3.5k
Panagiotis D. Bamidis	371 0.4×	1.1k 1.3×	485 0.7×	2.3k 3.7×	492 0.9×	416	6.2k
Leontios J. Hadjileontiadis	678 0.7×	1.2k 1.4×	757 1.0×	2.0k 3.3×	278 0.5×	295	6.6k
Alberto Greco	522 0.5×	999 1.1×	878 1.2×	1.4k 2.2×	485 0.9×	170	3.5k
Ilkka Korhonen	1.3k 1.4×	306 0.3×	998 1.4×	430 0.7×	147 0.3×	146	4.9k
Javier Hernandez	347 0.4×	553 0.6×	270 0.4×	399 0.6×	339 0.6×	59	1.8k
Cem Ersoy	1.2k 1.2×	449 0.5×	377 0.5×	299 0.5×	163 0.3×	178	7.3k
Ioanna Chouvarda	412 0.4×	388 0.4×	665 0.9×	487 0.8×	162 0.3×	210	3.7k

Countries citing papers authored by Bert Arnrich

Since Specialization

Citations

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

Fields of papers citing papers by Bert Arnrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bert Arnrich

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

All Works

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20 of 20 papers shown

Pfitzner, Bjarne, Maximilian Schulze, Christian Schineis, et al.. (2025). 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study. International Journal of Surgery. 111(6). 3742–3751. 1 indexed citations

Pfitzner, Bjarne, Felix Krenzien, Jonas Raakow, et al.. (2024). Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy. Cancers. 16(17). 3000–3000.

Koppold, Daniela A., Bert Arnrich, Andreas Michalsen, et al.. (2024). Twenty-Four Hour Glucose Profiles and Glycemic Variability during Intermittent Religious Dry Fasting and Time-Restricted Eating in Subjects without Diabetes: A Preliminary Study. Nutrients. 16(16). 2663–2663. 3 indexed citations

Gjoreski, Hristijan, et al.. (2023). Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments. IEEE Internet Computing. 27(4). 15–22. 4 indexed citations

Medawar, Evelyn, Janis Reinelt, Sophie Anne Inès Klopfenstein, et al.. (2023). A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study. JMIR Medical Informatics. 11. e43847–e43847. 13 indexed citations

Zhou, Lin, Eric W. Fischer, Clemens Markus Brahms, Urs Granacher, & Bert Arnrich. (2023). DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units. Scientific Data. 10(1). 543–543. 12 indexed citations

Denkovski, Daniel, et al.. (2023). Federated Learning for Activity Recognition: A System Level Perspective. IEEE Access. 11. 64442–64457. 7 indexed citations

Arnrich, Bert, et al.. (2023). A computer vision approach to continuously monitor fatigue during resistance training. Biomedical Signal Processing and Control. 89. 105701–105701. 1 indexed citations

Arnrich, Bert, et al.. (2023). State Space Modeling of Event Count Time Series. Entropy. 25(10). 1372–1372. 1 indexed citations

10.

Brahms, Clemens Markus, et al.. (2022). PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion during Resistance Training. Data. 8(1). 9–9. 1 indexed citations

11.

Arnrich, Bert, et al.. (2022). Wearable electroencephalography and multi-modal mental state classification: A systematic literature review. Computers in Biology and Medicine. 150. 106088–106088. 14 indexed citations

12.

Zhou, Lin, Clemens Markus Brahms, Can Tunca, et al.. (2021). TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis. Data. 6(9). 95–95. 9 indexed citations

13.

Arnrich, Bert, et al.. (2021). Choosing the Appropriate QRS Detector. 50–59. 3 indexed citations

14.

Zhou, Lin, Eric W. Fischer, Can Tunca, et al.. (2020). How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications. Sensors. 20(15). 4090–4090. 62 indexed citations

15.

Gebel, Arnd, et al.. (2020). Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study. Sensors. 20(18). 5104–5104. 190 indexed citations

16.

Arnrich, Bert, et al.. (2017). A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform. Journal of Ambient Intelligence and Humanized Computing. 10(6). 2199–2211. 5 indexed citations

17.

Schumm, Johannes, et al.. (2016). Automatic signal appraisal for unobtrusive ECG measurements. 7 indexed citations

18.

Gravenhorst, Franz, et al.. (2011). An IMU-based sensor network to continuously monitor rowing technique on the water. 253–258. 37 indexed citations

19.

Arnrich, Bert, et al.. (2006). Erfahrungen mit Diabetikern in der Koronarchirurgie - Patienten mit einem besonderen Risikoprofil. PUB – Publications at Bielefeld University (Bielefeld University). 2 indexed citations

20.

Arnrich, Bert, et al.. (2006). Risikostratifizierung diabetischer Koronarpatienten - Statistische Methoden zur Adjustierung der Patienten-Charakteristika im Vergleich. Clinical Research in Cardiology. 95(1). 17. 1 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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