Nataša Reljin

1.1k total citations
39 papers, 846 citations indexed

About

Nataša Reljin is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Nataša Reljin has authored 39 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 19 papers in Cardiology and Cardiovascular Medicine and 8 papers in Surgery. Recurrent topics in Nataša Reljin's work include Non-Invasive Vital Sign Monitoring (21 papers), Heart Rate Variability and Autonomic Control (12 papers) and ECG Monitoring and Analysis (10 papers). Nataša Reljin is often cited by papers focused on Non-Invasive Vital Sign Monitoring (21 papers), Heart Rate Variability and Autonomic Control (12 papers) and ECG Monitoring and Analysis (10 papers). Nataša Reljin collaborates with scholars based in United States, Spain and South Korea. Nataša Reljin's co-authors include Ki H. Chon, Bersaín A. Reyes, Yeonsik Noh, Yunyoung Nam, Youngsun Kong, Hugo F. Posada–Quintero, Jesús Lázaro, Md-Billal Hossain, Sneh Sinha and Gregory M. Treich and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Nataša Reljin

39 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nataša Reljin United States 16 477 253 141 105 96 39 846
Se Dong Min South Korea 16 528 1.1× 259 1.0× 182 1.3× 99 0.9× 30 0.3× 56 997
Bersaín A. Reyes United States 15 472 1.0× 379 1.5× 118 0.8× 216 2.1× 39 0.4× 30 828
Andrea Nicolò Italy 20 1.1k 2.2× 441 1.7× 91 0.6× 290 2.8× 23 0.2× 52 1.8k
Yong Gyu Lim South Korea 14 665 1.4× 493 1.9× 267 1.9× 24 0.2× 36 0.4× 29 892
Xin Zhu Japan 14 375 0.8× 218 0.9× 122 0.9× 29 0.3× 14 0.1× 58 827
Faezeh Marzbanrad Australia 17 324 0.7× 246 1.0× 158 1.1× 280 2.7× 94 1.0× 63 854
Nicola Carbonaro Italy 20 664 1.4× 53 0.2× 204 1.4× 15 0.1× 40 0.4× 68 1.1k
Ko Keun Kim South Korea 17 920 1.9× 739 2.9× 298 2.1× 32 0.3× 34 0.4× 30 1.2k
Gloria Cosoli Italy 17 364 0.8× 247 1.0× 74 0.5× 22 0.2× 8 0.1× 76 868
Su Hwan Hwang South Korea 15 358 0.8× 193 0.8× 181 1.3× 42 0.4× 14 0.1× 28 579

Countries citing papers authored by Nataša Reljin

Since Specialization
Citations

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

Fields of papers citing papers by Nataša Reljin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataša Reljin

This figure shows the co-authorship network connecting the top 25 collaborators of Nataša Reljin. A scholar is included among the top collaborators of Nataša Reljin 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 Nataša Reljin. Nataša Reljin 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.
Wang, Chuangqi, Nataša Reljin, David D. McManus, et al.. (2023). Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance. Artificial Intelligence in Medicine. 140. 102548–102548. 14 indexed citations
2.
Reljin, Nataša, Hugo F. Posada–Quintero, Eric Ding, et al.. (2020). Machine Learning Model Based on Transthoracic Bioimpedance and Heart Rate Variability for Lung Fluid Accumulation Detection: Prospective Clinical Study. JMIR Medical Informatics. 8(8). e18715–e18715. 7 indexed citations
3.
Hossain, Md-Billal, Syed Khairul Bashar, Jesús Lázaro, et al.. (2020). A robust ECG denoising technique using variable frequency complex demodulation. Computer Methods and Programs in Biomedicine. 200. 105856–105856. 41 indexed citations
4.
Lázaro, Jesús, Nataša Reljin, Md-Billal Hossain, et al.. (2020). Wearable Armband Device for Daily Life Electrocardiogram Monitoring. IEEE Transactions on Biomedical Engineering. 67(12). 3464–3473. 60 indexed citations
5.
Lázaro, Jesús, Nataša Reljin, Raquel Bailón, et al.. (2020). Electrocardiogram Derived Respiratory Rate Using a Wearable Armband. IEEE Transactions on Biomedical Engineering. 68(3). 1056–1065. 20 indexed citations
6.
Lázaro, Jesús, Nataša Reljin, Yeonsik Noh, Pablo Laguna, & Ki H. Chon. (2019). Heart Rate Variability Monitoring Using a Wearable Armband. Zaguan (University of Zaragoza Repository). 1–4. 1 indexed citations
7.
Posada–Quintero, Hugo F., Nataša Reljin, Jeffrey Bolkhovsky, Álvaro D. Orjuela-Cañón, & Ki H. Chon. (2019). Brain Activity Correlates With Cognitive Performance Deterioration During Sleep Deprivation. Frontiers in Neuroscience. 13. 1001–1001. 43 indexed citations
8.
Lázaro, Jesús, Nataša Reljin, Yeonsik Noh, Pablo Laguna, & Ki H. Chon. (2019). Heart Rate Variability Monitoring Using a Wearable Armband. Computing in cardiology. 4 indexed citations
9.
Posada–Quintero, Hugo F., Nataša Reljin, I.M. Mills, et al.. (2018). Time-varying analysis of electrodermal activity during exercise. PLoS ONE. 13(6). e0198328–e0198328. 51 indexed citations
10.
Reljin, Nataša, Kirk H. Shelley, Yitzhak Mendelson, et al.. (2018). Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia. PLoS ONE. 13(3). e0195087–e0195087. 19 indexed citations
11.
Reljin, Nataša, et al.. (2018). Automatic Detection of Dehydration using Support Vector Machines. 1–6. 11 indexed citations
12.
Reljin, Nataša, et al.. (2018). Preliminary results on transthoracic bioimpedance measurements with a variety of electrode materials. 121. 62–65. 3 indexed citations
13.
Posada–Quintero, Hugo F., Jeffrey Bolkhovsky, Nataša Reljin, & Ki H. Chon. (2017). Sleep Deprivation in Young and Healthy Subjects Is More Sensitively Identified by Higher Frequencies of Electrodermal Activity than by Skin Conductance Level Evaluated in the Time Domain. Frontiers in Physiology. 8. 409–409. 27 indexed citations
14.
Sinha, Sneh, Yeonsik Noh, Nataša Reljin, et al.. (2017). Screen-Printed PEDOT:PSS Electrodes on Commercial Finished Textiles for Electrocardiography. ACS Applied Materials & Interfaces. 9(43). 37524–37528. 138 indexed citations
15.
Reyes, Bersaín A., Nataša Reljin, Youngsun Kong, et al.. (2016). Towards the Development of a Mobile Phonopneumogram: Automatic Breath-Phase Classification Using Smartphones. Annals of Biomedical Engineering. 44(9). 2746–2759. 20 indexed citations
16.
Reyes, Bersaín A., Nataša Reljin, Youngsun Kong, et al.. (2016). Employing an Incentive Spirometer to Calibrate Tidal Volumes Estimated from a Smartphone Camera. Sensors. 16(3). 397–397. 7 indexed citations
17.
Reljin, Nataša, Bersaín A. Reyes, & Ki H. Chon. (2015). Tidal Volume Estimation Using the Blanket Fractal Dimension of the Tracheal Sounds Acquired by Smartphone. Sensors. 15(5). 9773–9790. 20 indexed citations
18.
Reljin, Nataša, et al.. (2014). Identification of fundamental heart sounds from PCG using blanket fractal dimension. 4. 123–124. 4 indexed citations
19.
Reyes, Bersaín A., Nataša Reljin, & Ki H. Chon. (2014). Tracheal Sounds Acquisition Using Smartphones. Sensors. 14(8). 13830–13850. 31 indexed citations
20.
Pokrajac, David D., et al.. (2009). Detection of suspicious activity using incremental outlier detection algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7445. 744509–744509. 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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