Kai Noponen

458 total citations
32 papers, 303 citations indexed

About

Kai Noponen is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Kai Noponen has authored 32 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 14 papers in Biomedical Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Kai Noponen's work include ECG Monitoring and Analysis (16 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Kai Noponen is often cited by papers focused on ECG Monitoring and Analysis (16 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Kai Noponen collaborates with scholars based in Finland, United States and Switzerland. Kai Noponen's co-authors include Tapio Seppänen, Jukka Kortelainen, Heikki V. Huikuri, M. Anette E. Haukilahti, Harri Rissanen, Antti Eranti, Tuomas Kenttä, Markku Heliövaara, Tuomas Kerola and Paul Knekt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Heart Journal.

In The Last Decade

Kai Noponen

29 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Noponen Finland 11 182 102 45 32 25 32 303
Iman Alikhani Finland 7 106 0.6× 119 1.2× 30 0.7× 71 2.2× 5 0.2× 10 278
Marcus Schmidt Germany 11 67 0.4× 135 1.3× 25 0.6× 14 0.4× 5 0.2× 37 281
Annamalai Natarajan United States 9 129 0.7× 41 0.4× 160 3.6× 14 0.4× 19 0.8× 16 320
Luiz Eduardo Barreto Martins Brazil 10 65 0.4× 85 0.8× 5 0.1× 90 2.8× 16 0.6× 27 459
Abhishek Tiwari Canada 12 113 0.6× 84 0.8× 125 2.8× 4 0.1× 13 0.5× 30 303
Pedro Gomis Spain 11 383 2.1× 107 1.0× 61 1.4× 2 0.1× 18 0.7× 58 452
Jorge Sancho Spain 4 125 0.7× 109 1.1× 39 0.9× 3 0.1× 11 0.4× 4 266
Zhuoming Chen China 11 18 0.1× 43 0.4× 50 1.1× 7 0.2× 27 1.1× 27 267
Nicolas Pilia Germany 8 244 1.3× 79 0.8× 82 1.8× 2 0.1× 14 0.6× 20 282
George Athanasopoulos Greece 9 169 0.9× 27 0.3× 61 1.4× 3 0.1× 21 0.8× 19 328

Countries citing papers authored by Kai Noponen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Noponen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Noponen

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Noponen. A scholar is included among the top collaborators of Kai Noponen 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 Kai Noponen. Kai Noponen 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.
Ferdinando, Hany, Kai Noponen, Tapio Seppänen, et al.. (2025). Age group classification based on optical measurement of brain pulsation using machine learning. Scientific Reports. 15(1). 3166–3166. 2 indexed citations
2.
Eranti, Antti, M. Anette E. Haukilahti, Tuomas Kerola, et al.. (2022). Poor R-wave progression as a predictor of sudden cardiac death in the general population and subjects with coronary artery disease. Heart Rhythm. 19(6). 952–959. 7 indexed citations
3.
Eranti, Antti, M. Anette E. Haukilahti, Tuomas Kerola, et al.. (2021). Prognostic significance of flat T-waves in the lateral leads in general population. Journal of Electrocardiology. 69. 105–110. 2 indexed citations
4.
Vuorinen, Tiina, Kai Noponen, Mikko P. Tulppo, et al.. (2020). Unobtrusive, Low‐Cost Out‐of‐Hospital, and In‐Hospital Measurement and Monitoring System. SHILAP Revista de lepidopterología. 3(3). 2 indexed citations
5.
Eranti, Antti, Jonas Carlson, Tuomas Kenttä, et al.. (2020). Orthogonal P-wave morphology, conventional P-wave indices, and the risk of atrial fibrillation in the general population using data from the Finnish Hospital Discharge Register. EP Europace. 22(8). 1173–1181. 24 indexed citations
6.
Eranti, Antti, M. Anette E. Haukilahti, Tuomas Kerola, et al.. (2019). Predicting sudden cardiac death in a general population using an electrocardiographic risk score. Heart. 106(6). 427–433. 37 indexed citations
7.
Alikhani, Iman, et al.. (2018). Spectral fusion-based breathing frequency estimation; experiment on activities of daily living. BioMedical Engineering OnLine. 17(1). 99–99. 8 indexed citations
8.
Eranti, Antti, M. Anette E. Haukilahti, Tuomas Kerola, et al.. (2018). Prevalence and Prognostic Significance of Negative U-waves in a 12-lead Electrocardiogram in the General Population. The American Journal of Cardiology. 123(2). 267–273. 5 indexed citations
9.
Alikhani, Iman, Kai Noponen, Arto J. Hautala, & Tapio Seppänen. (2018). Characterization and reduction of exercise-based motion influence on heart rate variability using accelerator signals and channel decoding in the time–frequency domain. Physiological Measurement. 39(11). 115002–115002. 1 indexed citations
10.
Eranti, Antti, Tuomas Kenttä, Kai Noponen, et al.. (2017). Experiences in digitizing and digitally measuring a paper-based ECG archive. Journal of Electrocardiology. 51(1). 74–81. 19 indexed citations
11.
Vuorinen, Tiina, Antti Vehkaoja, Kai Noponen, et al.. (2016). Printed, skin-mounted hybrid system for ECG measurements. Trepo - Institutional Repository of Tampere University. 1–6. 10 indexed citations
12.
Väyrynen, Eero, Kai Noponen, Ashwati Vipin, et al.. (2016). Automatic Parametrization of Somatosensory Evoked Potentials With Chirp Modeling. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(9). 981–992. 10 indexed citations
13.
Noponen, Kai, et al.. (2012). Deriving respiration from the electrocardiogram by serial comparison with statistical mean shape. Computing in Cardiology. 4 indexed citations
14.
Noponen, Kai, et al.. (2011). Electrocardiogram quality classification based on robust best subsets linear prediction error. Computing in Cardiology. 365–368. 20 indexed citations
15.
Karsikas, Mari, et al.. (2009). Beat-to-beat variation of three-dimensional QRS-T angle measures during exercise test. 125–128. 4 indexed citations
16.
Noponen, Kai & Tapio Seppänen. (2009). Calculating optimal virtual lead from multichannel ECG by minimizing morphological beat-to-beat variability. 717–720.
17.
18.
Noponen, Kai, et al.. (2008). Preliminaries to Finnish Word Prediction. 1(1). 65–73. 3 indexed citations
19.
Rautiainen, Mika, Kai Noponen, Timo Koskela, et al.. (2003). TRECVID 2003 Experiments at Media Team Oulu and VTT.. TRECVID. 5 indexed citations
20.
Rautiainen, Mika, et al.. (2002). TREC 2002 Video Track Experiments at MediaTeam Oulu and VTT.. Text REtrieval Conference. 8(7). 1424–1428. 6 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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