Olli Lahdenoja

807 total citations
47 papers, 554 citations indexed

About

Olli Lahdenoja is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Olli Lahdenoja has authored 47 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 23 papers in Biomedical Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Olli Lahdenoja's work include Non-Invasive Vital Sign Monitoring (22 papers), ECG Monitoring and Analysis (20 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Olli Lahdenoja is often cited by papers focused on Non-Invasive Vital Sign Monitoring (22 papers), ECG Monitoring and Analysis (20 papers) and Atrial Fibrillation Management and Outcomes (6 papers). Olli Lahdenoja collaborates with scholars based in Finland, Netherlands and Denmark. Olli Lahdenoja's co-authors include Tero Koivisto, Mikko Pänkäälä, Mika Laiho, Tero Hurnanen, A. Paasio, Tuija Vasankari, Juhani Airaksinen, Tuomas Kiviniemi, Mojtaba Jafari Tadi and Antti Saraste and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Olli Lahdenoja

43 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olli Lahdenoja Finland 14 308 292 113 81 78 47 554
Alexander F. Kolen Netherlands 12 117 0.4× 178 0.6× 77 0.7× 54 0.7× 48 0.6× 31 394
M. Raghu Ram India 10 382 1.2× 480 1.6× 40 0.4× 247 3.0× 22 0.3× 18 559
Voicu Z. Groza Canada 15 395 1.3× 386 1.3× 38 0.3× 160 2.0× 27 0.3× 43 612
Changchun Liu China 12 314 1.0× 148 0.5× 106 0.9× 16 0.2× 149 1.9× 35 568
Dong Youn Kim South Korea 7 316 1.0× 239 0.8× 186 1.6× 29 0.4× 32 0.4× 19 567
Nicolai Spicher Germany 8 120 0.4× 136 0.5× 61 0.5× 40 0.5× 18 0.2× 49 336
Yong Bai China 12 272 0.9× 289 1.0× 42 0.4× 359 4.4× 40 0.5× 47 628
Eduardo Pinheiro Portugal 10 273 0.9× 351 1.2× 27 0.2× 108 1.3× 37 0.5× 28 441
P. Kostka Poland 10 174 0.6× 227 0.8× 28 0.2× 85 1.0× 32 0.4× 45 333

Countries citing papers authored by Olli Lahdenoja

Since Specialization
Citations

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

Fields of papers citing papers by Olli Lahdenoja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olli Lahdenoja

This figure shows the co-authorship network connecting the top 25 collaborators of Olli Lahdenoja. A scholar is included among the top collaborators of Olli Lahdenoja 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 Olli Lahdenoja. Olli Lahdenoja 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.
Lahdenoja, Olli, R. Rekola, Arman Anzanpour, et al.. (2025). Bed sensor ballistocardiogram for non-invasive detection of atrial fibrillation: a comprehensive clinical study. Physiological Measurement. 46(3). 35003–35003.
2.
Lahdenoja, Olli, Tuija Vasankari, Samuli Jaakkola, et al.. (2025). Validation of an MEMS-Based Pressure Sensor System for Atrial Fibrillation Detection From Wrist and Finger. IEEE Sensors Journal. 25(13). 25615–25624.
3.
Anzanpour, Arman, Olli Lahdenoja, Iván Castro, et al.. (2025). Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit. IEEE Journal of Biomedical and Health Informatics. PP. 1–9.
4.
Lahdenoja, Olli, Arman Anzanpour, Joel Nuotio, et al.. (2025). Assessing the impact of signal quality on heart rate detection from long-term clinical wrist PPG under varying cardiac rhythms. Biomedical Signal Processing and Control. 112. 108688–108688. 1 indexed citations
5.
Koivisto, Tero, et al.. (2023). Mechanocardiography detects improvement of systolic function caused by resynchronization pacing. Physiological Measurement. 44(12). 125009–125009. 3 indexed citations
6.
7.
Hurnanen, Tero, Olli Lahdenoja, Antti Airola, et al.. (2022). Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups. Computing in cardiology.
8.
Koivisto, Tero, Olli Lahdenoja, Tero Hurnanen, et al.. (2022). Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study. Sensors. 22(12). 4384–4384. 13 indexed citations
9.
Koivisto, Tero, Olli Lahdenoja, Tero Hurnanen, et al.. (2022). Mechanocardiography-Based Measurement System Indicating Changes in Heart Failure Patients during Hospital Admission and Discharge. Sensors. 22(24). 9781–9781. 9 indexed citations
10.
Lahdenoja, Olli, Matti Kaisti, Mojtaba Jafari Tadi, et al.. (2020). Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multilabel Learning Approach. IEEE Sensors Journal. 20(14). 7957–7968. 25 indexed citations
11.
Tadi, Mojtaba Jafari, Matti Kaisti, Olli Lahdenoja, et al.. (2018). Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms. IEEE Sensors Journal. 19(6). 2230–2242. 28 indexed citations
12.
Kaisti, Matti, Mojtaba Jafari Tadi, Olli Lahdenoja, et al.. (2018). Stand-Alone Heartbeat Detection in Multidimensional Mechanocardiograms. IEEE Sensors Journal. 19(1). 234–242. 45 indexed citations
13.
Jaakkola, Jussi, Samuli Jaakkola, Olli Lahdenoja, et al.. (2018). MOBILE PHONE DETECTION OF ATRIAL FIBRILLATION: THE MODE-AF STUDY. Journal of the American College of Cardiology. 71(11). A410–A410. 1 indexed citations
14.
Lahdenoja, Olli, Mikko Pänkäälä, Tero Koivisto, et al.. (2017). Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone. IEEE Journal of Biomedical and Health Informatics. 22(1). 108–118. 112 indexed citations
15.
Tadi, Mojtaba Jafari, Eero Lehtonen, Olli Lahdenoja, Mikko Pänkäälä, & Tero Koivisto. (2016). An adaptive approach for heartbeat detection based on S-transform in seismocardiograms. PubMed. 2016. 2370–2373. 6 indexed citations
16.
Lahdenoja, Olli, et al.. (2015). Recent advances in monocular model-based tracking: a systematic literature review. UTUPub (University of Turku). 2 indexed citations
17.
Lahdenoja, Olli, et al.. (2013). Towards Understanding the Formation of Uniform Local Binary Patterns. SHILAP Revista de lepidopterología. 2013. 1–20. 32 indexed citations
18.
Laiho, Mika, Olli Lahdenoja, & A. Paasio. (2005). Dedicated Hardware for Parallel Extraction of Local Binary Pattern Feature Vectors. 27–30. 6 indexed citations
19.
Lahdenoja, Olli, Jussi Poikonen, & A. Paasio. (2005). Effect of Mismatch on a Ranked-Order Extractor Array. 4118–4121. 2 indexed citations
20.
Lahdenoja, Olli, Mika Laiho, & A. Paasio. (2005). Reducing the feature vector length in local binary pattern based face recognition. II–914. 45 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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