Thomas De Cooman

595 total citations
17 papers, 472 citations indexed

About

Thomas De Cooman is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Thomas De Cooman has authored 17 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 13 papers in Cardiology and Cardiovascular Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Thomas De Cooman's work include EEG and Brain-Computer Interfaces (16 papers), ECG Monitoring and Analysis (11 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Thomas De Cooman is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), ECG Monitoring and Analysis (11 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Thomas De Cooman collaborates with scholars based in Belgium, Netherlands and Denmark. Thomas De Cooman's co-authors include Sabine Van Huffel, Wim Van Paesschen, Borbála Hunyadi, Evy Cleeren, Kaat Vandecasteele, Carolina Varon, Ying Gu, Kasper Claes, Lieven Lagae and Jonathan Dan and has published in prestigious journals such as Sensors, Epilepsia and Frontiers in Neurology.

In The Last Decade

Thomas De Cooman

16 papers receiving 455 citations

Peers

Thomas De Cooman

PMH

CCM

CMN

Kaat Vandecasteele Belgium

Evy Cleeren Belgium

Kris Cuppens Belgium

Rima El Atrache United States

Anouk Van de Vel Belgium

Mona Nasseri United States

Petr Nejedlý Czechia

Petr Klimeš Czechia

Tilmann Kluge Austria

Isa Conradsen Denmark

Kaat Vandecasteele Belgium

Thomas De Cooman

337 ×0.8

202 ×1.0

PMH

110 ×0.6

CCM

72 ×0.6

48 ×1.0

CMN

Citations per year, relative to Thomas De Cooman Thomas De Cooman (= 1×) peers Kaat Vandecasteele

Countries citing papers authored by Thomas De Cooman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas De Cooman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas De Cooman. 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 Thomas De Cooman. The network helps show where Thomas De Cooman may publish in the future.

Co-authorship network of co-authors of Thomas De Cooman

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

All Works

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17 of 17 papers shown

Cooman, Thomas De, et al.. (2024). Predicting Age from a Real World Smartphone Acquired PPG Signal Using Deep Learning. Computing in cardiology. 51.

Hahn, Cecil D., Thomas De Cooman, Sabine Van Huffel, et al.. (2022). Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. arXiv (Cornell University). 4 indexed citations

Vandecasteele, Kaat, Thomas De Cooman, Christos Chatzichristos, et al.. (2021). The power of ECG in multimodal patient‐specific seizure monitoring: Added value to an EEG‐based detector using limited channels. Epilepsia. 62(10). 2333–2343. 43 indexed citations

Vandecasteele, Kaat, Thomas De Cooman, Jonathan Dan, et al.. (2020). Visual seizure annotation and automated seizure detection using behind‐the‐ear electroencephalographic channels. Epilepsia. 61(4). 766–775. 67 indexed citations

Cooman, Thomas De, Kaat Vandecasteele, Carolina Varon, et al.. (2020). Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning. Frontiers in Neurology. 11. 145–145. 35 indexed citations

Cooman, Thomas De, Carolina Varon, Anouk Van de Vel, et al.. (2018). Adaptive nocturnal seizure detection using heart rate and low-complexity novelty detection. Seizure. 59. 48–53. 22 indexed citations

Westrhenen, Anouk van, Thomas De Cooman, R.H.C. Lazeron, Sabine Van Huffel, & Roland D. Thijs. (2018). Ictal autonomic changes as a tool for seizure detection: a systematic review. Clinical Autonomic Research. 29(2). 161–181. 43 indexed citations

Cooman, Thomas De, Carolina Varon, Wim Van Paesschen, & Sabine Van Huffel. (2018). Supervised Transfer Learning for Personalized Heart Rate Based Epileptic Seizure Detection. Computing in cardiology. 1 indexed citations

Cooman, Thomas De, Carolina Varon, Anouk Van de Vel, et al.. (2018). Comparison and combination of electrocardiogram, electromyogram and accelerometry for tonic-clonic seizure detection in children. Lirias (KU Leuven). 438–441. 5 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.

Cooman, Thomas De, Troels W. Kjær, Sabine Van Huffel, & Helge B. D. Sørensen. (2017). Adaptive heart rate-based epileptic seizure detection using real-time user feedback. Physiological Measurement. 39(1). 14005–14005. 16 indexed citations

12.

Cooman, Thomas De, Carolina Varon, Borbála Hunyadi, et al.. (2017). Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG. International Journal of Neural Systems. 27(7). 1750022–1750022. 43 indexed citations

13.

Cooman, Thomas De, Carolina Varon, Anouk Van de Vel, et al.. (2017). Semi-Supervised One-Class Transfer Learning for Heart Rate Based Epileptic Seizure Detection. Computing in cardiology. 9 indexed citations

14.

Cooman, Thomas De, et al.. (2015). Heart beat detection in multimodal data using automatic relevant signal detection. Physiological Measurement. 36(8). 1691–1704. 20 indexed citations

15.

Cooman, Thomas De, Anouk Van de Vel, Berten Ceulemans, et al.. (2015). Online detection of tonic-clonic seizures in pediatric patients using ECG and low-complexity incremental novelty detection. PubMed. 12. 5597–5600. 9 indexed citations

16.

Cooman, Thomas De, et al.. (2014). Heart beat detection in multimodal data using signal recognition and beat location estimation. Lirias (KU Leuven). 257–260. 14 indexed citations

17.

Cooman, Thomas De, Evelien Carrette, Paul Boon, Alfred Meurs, & Sabine Van Huffel. (2014). Online Seizure Detection in Adults with Temporal Lobe Epilepsy Using Single-Lead ECG. Lirias (KU Leuven). 1532–1536. 5 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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