Tomás Teijeiro

971 total citations · 1 hit paper
36 papers, 612 citations indexed

About

Tomás Teijeiro is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Tomás Teijeiro has authored 36 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 12 papers in Cognitive Neuroscience and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Tomás Teijeiro's work include ECG Monitoring and Analysis (14 papers), EEG and Brain-Computer Interfaces (12 papers) and Advanced Memory and Neural Computing (7 papers). Tomás Teijeiro is often cited by papers focused on ECG Monitoring and Analysis (14 papers), EEG and Brain-Computer Interfaces (12 papers) and Advanced Memory and Neural Computing (7 papers). Tomás Teijeiro collaborates with scholars based in Switzerland, Spain and Sweden. Tomás Teijeiro's co-authors include David Atienza, Lara Orlandic, Amir Aminifar, Paulo Félix, J. Presedo, Constantino Antonio García Martínez, Daniel C. Castro, Philippe Ryvlin, Carlos Zamarrón and Xosé A. Vila and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Tomás Teijeiro

34 papers receiving 596 citations

Hit Papers

The COUGHVID crowdsourcing dataset, a corpus for the stud... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomás Teijeiro Switzerland 11 218 190 152 136 114 36 612
Samit Kumar Ghosh India 14 288 1.3× 213 1.1× 294 1.9× 79 0.6× 45 0.4× 46 761
Y. Padma Sai India 12 193 0.9× 144 0.8× 72 0.5× 66 0.5× 47 0.4× 49 466
Gökhan Altan Türkiye 14 94 0.4× 128 0.7× 243 1.6× 134 1.0× 107 0.9× 31 609
Viswam Nathan United States 16 300 1.4× 183 1.0× 235 1.5× 54 0.4× 62 0.5× 55 843
Morteza Zabihi Finland 11 316 1.4× 314 1.7× 148 1.0× 75 0.6× 59 0.5× 21 663
Edilson Delgado‐Trejos Colombia 12 106 0.5× 91 0.5× 118 0.8× 84 0.6× 18 0.2× 54 485
Taikang Ning United States 10 96 0.4× 173 0.9× 95 0.6× 40 0.3× 24 0.2× 66 451
Erick Andres Perez Alday United States 13 731 3.4× 308 1.6× 205 1.3× 93 0.7× 79 0.7× 43 905
Yongfeng Yuan China 12 386 1.8× 230 1.2× 69 0.5× 48 0.4× 34 0.3× 48 578
Shyam Vasudeva Rao Netherlands 15 127 0.6× 377 2.0× 43 0.3× 66 0.5× 179 1.6× 33 831

Countries citing papers authored by Tomás Teijeiro

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Teijeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Teijeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Teijeiro. A scholar is included among the top collaborators of Tomás Teijeiro 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 Tomás Teijeiro. Tomás Teijeiro 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.
Teijeiro, Tomás, et al.. (2024). M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–31. 1 indexed citations
2.
Thevenot, Jérôme, et al.. (2024). Acoustical features as knee health biomarkers: A critical analysis. Artificial Intelligence in Medicine. 158. 103013–103013.
3.
Teijeiro, Tomás, et al.. (2024). Combining general and personal models for epilepsy detection with hyperdimensional computing. Artificial Intelligence in Medicine. 148. 102754–102754. 6 indexed citations
4.
Teijeiro, Tomás, et al.. (2023). An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(2). 489–501. 2 indexed citations
5.
Teijeiro, Tomás, et al.. (2023). Machine learning discovery of optimal quadrature rules for isogeometric analysis. Computer Methods in Applied Mechanics and Engineering. 416. 116310–116310. 3 indexed citations
6.
Shahriari, M., et al.. (2023). Neural network architecture optimization using automated machine learning for borehole resistivity measurements. Geophysical Journal International. 234(3). 2487–2500.
7.
Ansaloni, Giovanni, et al.. (2023). Event-based sampled ECG morphology reconstruction through self-similarity. Computer Methods and Programs in Biomedicine. 240. 107712–107712. 2 indexed citations
8.
Teijeiro, Tomás, et al.. (2023). Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. IEEE Transactions on Mobile Computing. 23(5). 6392–6407. 21 indexed citations
9.
Teijeiro, Tomás, et al.. (2023). Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems. BIRD (Basque Center for Applied Mathematics). 1–4. 1 indexed citations
10.
Orlandic, Lara, Tomás Teijeiro, & David Atienza. (2023). A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Computer Methods and Programs in Biomedicine. 241. 107743–107743. 7 indexed citations
11.
Teijeiro, Tomás, et al.. (2022). Approximate zero-crossing: a new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection. Journal of Neural Engineering. 19(6). 66018–66018. 9 indexed citations
12.
Teijeiro, Tomás, et al.. (2022). Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. Frontiers in Neurology. 13. 816294–816294. 15 indexed citations
13.
Teijeiro, Tomás, et al.. (2022). Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection. Epilepsia. 64(S4). S23–S33. 18 indexed citations
14.
Orlandic, Lara, Tomás Teijeiro, & David Atienza. (2021). The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms. Scientific Data. 8(1). 156–156. 192 indexed citations breakdown →
15.
Teijeiro, Tomás, et al.. (2021). Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. arXiv (Cornell University). 1 indexed citations
16.
Teijeiro, Tomás & Paulo Félix. (2018). On the adoption of abductive reasoning for time series interpretation. Artificial Intelligence. 262. 163–188. 5 indexed citations
17.
Teijeiro, Tomás, et al.. (2016). Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG. IEEE Journal of Biomedical and Health Informatics. 22(2). 409–420. 81 indexed citations
18.
Teijeiro, Tomás, Paulo Félix, & J. Presedo. (2015). A noise robust QRS delineation method based on path simplification. 209–212. 4 indexed citations
19.
Teijeiro, Tomás, Paulo Félix, J. Presedo, & Carlos Zamarrón. (2012). An open platform for the protocolization of home medical supervision. Expert Systems with Applications. 40(7). 2607–2614. 11 indexed citations
20.
Teijeiro, Tomás, et al.. (2011). SERVANDO: An extensible platform for home-care services providing. PubMed. 2011. 8191–8194. 2 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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