Heli Koskimäki

978 total citations
38 papers, 645 citations indexed

About

Heli Koskimäki is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Heli Koskimäki has authored 38 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Heli Koskimäki's work include Context-Aware Activity Recognition Systems (10 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). Heli Koskimäki is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). Heli Koskimäki collaborates with scholars based in Finland, Denmark and United States. Heli Koskimäki's co-authors include Juha Röning, Pekka Siirtola, Hannu Kinnunen, Tuomas Kenttä, Perttu Laurinen, Ville Huikari, Timo Jämsä, Maarit Kangas, Raija Korpelainen and Matti Mäntysaari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Heli Koskimäki

36 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heli Koskimäki Finland 13 192 164 101 87 82 38 645
Chelsea Dobbins United Kingdom 15 168 0.9× 137 0.8× 52 0.5× 97 1.1× 40 0.5× 56 864
Dan Istrate France 14 267 1.4× 238 1.5× 63 0.6× 125 1.4× 37 0.5× 73 850
Ahyoung Choi South Korea 13 95 0.5× 149 0.9× 123 1.2× 55 0.6× 37 0.5× 46 489
Sougata Sen United States 13 165 0.9× 141 0.9× 60 0.6× 34 0.4× 37 0.5× 54 602
Pekka Siirtola Finland 18 457 2.4× 226 1.4× 76 0.8× 163 1.9× 58 0.7× 58 967
Basel Kikhia Sweden 7 218 1.1× 137 0.8× 28 0.3× 37 0.4× 72 0.9× 13 467
Atena Roshan Fekr Canada 13 195 1.0× 313 1.9× 71 0.7× 60 0.7× 64 0.8× 53 620
Parastoo Alinia United States 9 276 1.4× 317 1.9× 80 0.8× 162 1.9× 45 0.5× 15 859
Antti Särelä Australia 11 122 0.6× 147 0.9× 154 1.5× 17 0.2× 64 0.8× 19 532
Bessam Abdulrazak Canada 12 248 1.3× 154 0.9× 56 0.6× 77 0.9× 61 0.7× 79 614

Countries citing papers authored by Heli Koskimäki

Since Specialization
Citations

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

Fields of papers citing papers by Heli Koskimäki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heli Koskimäki

This figure shows the co-authorship network connecting the top 25 collaborators of Heli Koskimäki. A scholar is included among the top collaborators of Heli Koskimäki 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 Heli Koskimäki. Heli Koskimäki 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.
Peltonen, Ella, et al.. (2022). The Impact of Smartphone Usage on Circadian Cycles: A Case Study with Wearable Ring. University of Oulu Repository (University of Oulu). 148–154.
2.
Suutala, Jaakko, et al.. (2020). Better classifier calibration for small datasets. University of Oulu Repository (University of Oulu). 6 indexed citations
3.
Kinnunen, Hannu, et al.. (2020). Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG. Physiological Measurement. 41(4). 04NT01–04NT01. 113 indexed citations
4.
Kinnunen, Hannu, et al.. (2019). Nocturnal finger skin temperature in menstrual cycle tracking: ambulatory pilot study using a wearable Oura ring. BMC Women s Health. 19(1). 150–150. 59 indexed citations
5.
Siirtola, Pekka, Heli Koskimäki, & Juha Röning. (2018). Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models. University of Oulu Repository (University of Oulu). 291–299. 6 indexed citations
6.
Kinnunen, Hannu & Heli Koskimäki. (2018). 0312 The HRV Of The Ring - Comparison Of Nocturnal HR And HRV Between A Commercially Available Wearable Ring And ECG. SLEEP. 41(suppl_1). A120–A120. 7 indexed citations
7.
Koskimäki, Heli, et al.. (2018). Getting More Out of Small Data Sets - Improving the Calibration Performance of Isotonic Regression by Generating More Data. University of Oulu Repository (University of Oulu). 379–386. 5 indexed citations
8.
Siirtola, Pekka, et al.. (2018). Using Sleep Time Data from Wearable Sensors for Early Detection of Migraine Attacks. Sensors. 18(5). 1374–1374. 37 indexed citations
9.
Koskimäki, Heli, et al.. (2017). Wishes For Wearables From Patients With Migraine. Journal of the Association for Information Systems. 18. 2 indexed citations
10.
Siirtola, Pekka, Heli Koskimäki, & Juha Röning. (2016). From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors.. The European Symposium on Artificial Neural Networks. 9 indexed citations
11.
Koskimäki, Heli & Pekka Siirtola. (2016). Adaptive model fusion for wearable sensors based human activity recognition. International Conference on Information Fusion. 1709–1713. 10 indexed citations
12.
Koskimäki, Heli & Pekka Siirtola. (2016). Accelerometer vs. Electromyogram in Activity Recognition. SHILAP Revista de lepidopterología. 5(3). 31–42. 10 indexed citations
13.
Koskimäki, Heli. (2015). Avoiding Bias in Classification Accuracy - A Case Study for Activity Recognition. 301–306. 12 indexed citations
14.
Siirtola, Pekka, Riitta Pyky, Riikka Ahola, et al.. (2014). Detecting and profiling sedentary young men using machine learning algorithms. 11. 296–303. 4 indexed citations
15.
Koskimäki, Heli & Pekka Siirtola. (2014). Recognizing gym exercises using acceleration data from wearable sensors. 321–328. 18 indexed citations
16.
Ahola, Riikka, Riitta Pyky, Timo Jämsä, et al.. (2013). Gamified physical activation of young men – a Multidisciplinary Population-Based Randomized Controlled Trial (MOPO study). BMC Public Health. 13(1). 32–32. 46 indexed citations
17.
Koskimäki, Heli, Ville Huikari, Pekka Siirtola, & Juha Röning. (2011). Behavior modeling in industrial assembly lines using a wrist-worn inertial measurement unit. Journal of Ambient Intelligence and Humanized Computing. 4(2). 187–194. 18 indexed citations
18.
Siirtola, Pekka, Heli Koskimäki, & Juha Röning. (2011). Periodic quick test for classifying long-term activities. 135–140. 7 indexed citations
19.
Huikari, Ville, Heli Koskimäki, Pekka Siirtola, & Juha Röning. (2010). User-independent activity recognition for industrial assembly lines-feature vs. instance selection. 307–312. 10 indexed citations
20.
Koskimäki, Heli. (2009). Utilizing similarity information in industrial applications. 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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