Kasper Claes

1.3k total citations
18 papers, 866 citations indexed

About

Kasper Claes is a scholar working on Biomedical Engineering, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kasper Claes has authored 18 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Artificial Intelligence and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kasper Claes's work include Non-Invasive Vital Sign Monitoring (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Balance, Gait, and Falls Prevention (2 papers). Kasper Claes is often cited by papers focused on Non-Invasive Vital Sign Monitoring (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Balance, Gait, and Falls Prevention (2 papers). Kasper Claes collaborates with scholars based in Belgium, United Kingdom and United States. Kasper Claes's co-authors include Evy Cleeren, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi, Ying Gu, Herman Bruyninckx, Tinne De Laet, Ruben Smits, Joris De Schutter and Erwin Aertbeliën and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Kasper Claes

17 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kasper Claes Belgium	14	268	199	188	165	146	18	866
Tuan Nghia Nguyen Australia	15	433 1.6×	127 0.6×	305 1.6×	263 1.6×	23 0.2×	50	1.1k
Carlos A. Cifuentes Colombia	21	150 0.6×	138 0.7×	554 2.9×	38 0.2×	113 0.8×	106	1.2k
Soojin Lee Canada	13	450 1.7×	60 0.3×	241 1.3×	801 4.9×	135 0.9×	42	1.6k
Nirvana Popescu Romania	12	97 0.4×	105 0.5×	225 1.2×	106 0.6×	20 0.1×	73	644
Erika Rovini Italy	15	180 0.7×	26 0.1×	349 1.9×	490 3.0×	124 0.8×	55	1.1k
Michelle J. Johnson United States	21	390 1.5×	78 0.4×	503 2.7×	280 1.7×	262 1.8×	117	1.6k
Álvaro A. Orozco Colombia	13	224 0.8×	43 0.2×	43 0.2×	90 0.5×	27 0.2×	95	650
Sunghoon Ivan Lee United States	23	155 0.6×	19 0.1×	453 2.4×	163 1.0×	97 0.7×	87	1.4k
George V. Kondraske United States	17	168 0.6×	26 0.1×	262 1.4×	98 0.6×	84 0.6×	67	908
Mounir Mokhtari France	13	191 0.7×	45 0.2×	227 1.2×	65 0.4×	116 0.8×	59	852

Countries citing papers authored by Kasper Claes

Since Specialization

Citations

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

Fields of papers citing papers by Kasper Claes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kasper Claes

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

All Works

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18 of 18 papers shown

Hill, David, Diane Stephenson, Jordan Brayanov, et al.. (2022). Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease. Sensors. 22(6). 2136–2136. 13 indexed citations

Böttcher, Sebastian, Elisa Bruno, Nikolay V. Manyakov, et al.. (2021). Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation. JMIR mhealth and uhealth. 9(11). e27674–e27674. 23 indexed citations

Evers, Luc J. W., Yordan P. Raykov, Jesse H. Krijthe, et al.. (2020). Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study. Journal of Medical Internet Research. 22(10). e19068–e19068. 41 indexed citations

Claes, Kasper, et al.. (2020). How GDPR Enhances Transparency and Fosters Pseudonymisation in Academic Medical Research. European Journal of Health Law. 27(1). 35–57. 5 indexed citations

Bataille, Lauren, Max A. Little, Kasper Claes, et al.. (2019). Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research. PubMed. 3(3). 116–132. 28 indexed citations

Vandecasteele, Kaat, Jesús Lázaro, Evy Cleeren, et al.. (2018). Artifact Detection of Wrist Photoplethysmograph Signals. 182–189. 13 indexed citations

Boroojerdi, Babak, Roozbeh Ghaffari, Nikhil Mahadevan, et al.. (2018). Clinical feasibility of a wearable, conformable sensor patch to monitor motor symptoms in Parkinson's disease. Parkinsonism & Related Disorders. 61. 70–76. 30 indexed citations

Raykov, Yordan P., Luc J. W. Evers, Bastiaan R. Bloem, et al.. (2018). Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab. Sensors. 18(4). 1215–1215. 13 indexed citations

Chong, Seon‐Ah, Silvia Balosso, Catherine Vandenplas, et al.. (2018). Intrinsic Inflammation Is a Potential Anti-Epileptogenic Target in the Organotypic Hippocampal Slice Model. Neurotherapeutics. 15(2). 470–488. 19 indexed citations

10.

Vandecasteele, Kaat, Thomas De Cooman, Ying Gu, et al.. (2017). Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment. Sensors. 17(10). 2338–2338. 136 indexed citations

11.

Lima, Ana Lígia Silva de, Luc J. W. Evers, Nienke M. de Vries, et al.. (2017). Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease. PLoS ONE. 12(12). e0189161–e0189161. 122 indexed citations

12.

Fröhlich, Holger, et al.. (2017). A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System. IEEE Transactions on Biomedical Engineering. 65(5). 1133–1139. 27 indexed citations

13.

Gu, Ying, Evy Cleeren, Jonathan Dan, et al.. (2017). Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. Sensors. 18(1). 29–29. 106 indexed citations

14.

Smits, Ruben, Tinne De Laet, Kasper Claes, Herman Bruyninckx, & Joris De Schutter. (2008). iTASC: a tool for multi-sensor integration in robot manipulation. 25 indexed citations

15.

Claes, Kasper & Herman Bruyninckx. (2007). Robot positioning using structural light patterns suitable for self calibration and 3d tracking. Lirias (KU Leuven). 4 indexed citations

16.

Schutter, Joris De, Tinne De Laet, Johan Rutgeerts, et al.. (2007). Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty. The International Journal of Robotics Research. 26(5). 433–455. 195 indexed citations

17.

Claes, Kasper, Thomas Koninckx, & Herman Bruyninckx. (2005). Automatic Burr Detection on Surfaces of Revolution Based on Adaptive 3D Scanning. Lirias (KU Leuven). 3. 212–219. 1 indexed citations

18.

Bock, Dirk De, Lieven Verschaffel, Dirk Janssens, Wim Van Dooren, & Kasper Claes. (2003). Do realistic contexts and graphical representations always have a beneficial impact on students’ performance? Negative evidence from a study on modelling non-linear geometry problems. Learning and Instruction. 13(4). 441–463. 65 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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