Gašper Slapničar

748 total citations · 1 hit paper
17 papers, 492 citations indexed

About

Gašper Slapničar is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gašper Slapničar has authored 17 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gašper Slapničar's work include Non-Invasive Vital Sign Monitoring (10 papers), Hemodynamic Monitoring and Therapy (8 papers) and Heart Rate Variability and Autonomic Control (5 papers). Gašper Slapničar is often cited by papers focused on Non-Invasive Vital Sign Monitoring (10 papers), Hemodynamic Monitoring and Therapy (8 papers) and Heart Rate Variability and Autonomic Control (5 papers). Gašper Slapničar collaborates with scholars based in Slovenia, China and Netherlands. Gašper Slapničar's co-authors include Mitja Luštrek, Matjaž Gams, Vito Janko, Martin Gjoreski, Wenjin Wang, Anton Gradišek and Erik Dovgan and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Information Fusion.

In The Last Decade

Gašper Slapničar

15 papers receiving 481 citations

Hit Papers

Blood Pressure Estimation from Photoplethysmogram Using a... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gašper Slapničar Slovenia 8 330 280 152 74 45 17 492
Martin Vítek Czechia 14 237 0.7× 385 1.4× 46 0.3× 43 0.6× 32 576
Nicolai Spicher Germany 8 136 0.4× 120 0.4× 40 0.3× 61 0.8× 1 0.0× 49 336
Mohamed Abul Hassan United States 7 178 0.5× 132 0.5× 67 0.4× 31 0.4× 1 0.0× 18 257
Carl R. Andersson Sweden 5 118 0.4× 437 1.6× 10 0.1× 12 0.2× 7 672
Skyler R. St. Pierre United States 7 106 0.3× 73 0.3× 22 0.1× 10 0.1× 1 0.0× 13 282
Hamed Danandeh Hesar Iran 9 123 0.4× 219 0.8× 18 0.1× 32 0.4× 20 280
A. Dobrowolski Poland 11 126 0.4× 42 0.1× 22 0.1× 50 0.7× 59 355
Luke A. Reisner United States 11 170 0.5× 14 0.1× 184 1.2× 143 1.9× 16 322
A J Lomax Canada 7 102 0.3× 33 0.1× 207 1.4× 114 1.5× 11 360
Abhijit Sarkar United States 11 70 0.2× 58 0.2× 11 0.1× 75 1.0× 3 0.1× 36 306

Countries citing papers authored by Gašper Slapničar

Since Specialization
Citations

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

Fields of papers citing papers by Gašper Slapničar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gašper Slapničar

This figure shows the co-authorship network connecting the top 25 collaborators of Gašper Slapničar. A scholar is included among the top collaborators of Gašper Slapničar 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 Gašper Slapničar. Gašper Slapničar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Slapničar, Gašper, et al.. (2024). Fundamental and Practical Feasibility of Electrocardiogram Reconstruction from Photoplethysmogram. Sensors. 24(7). 2100–2100. 1 indexed citations
2.
Slapničar, Gašper, Wenjin Wang, & Mitja Luštrek. (2024). Generalized channel separation algorithms for accurate camera-based multi-wavelength PTT and BP estimation. Biomedical Optics Express. 15(5). 3128–3128.
3.
Slapničar, Gašper, Wenjin Wang, & Mitja Luštrek. (2023). Feasibility of Remote Blood Pressure Estimation via Narrow-band Multi-wavelength Pulse Transit Time. ACM Transactions on Sensor Networks. 20(4). 1–21. 9 indexed citations
4.
Slapničar, Gašper, et al.. (2022). The missing piece. Physiological data as a factor for identifying emotions of people with profound intellectual and multiple disabilities. International Journal of Developmental Disabilities. 70(5). 887–903. 1 indexed citations
5.
Slapničar, Gašper, Wenjin Wang, & Mitja Luštrek. (2022). Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography. 115–117. 1 indexed citations
6.
Slapničar, Gašper, Wenjin Wang, & Mitja Luštrek. (2022). Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography. 1–5. 4 indexed citations
7.
Slapničar, Gašper, Wenjin Wang, & Mitja Luštrek. (2021). Classification of Hemodynamics Scenarios from a Public Radar Dataset Using a Deep Learning Approach. Sensors. 21(5). 1836–1836. 7 indexed citations
8.
Janko, Vito, Gašper Slapničar, Erik Dovgan, et al.. (2021). Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. International Journal of Environmental Research and Public Health. 18(13). 6750–6750. 4 indexed citations
10.
Gjoreski, Martin, et al.. (2020). Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Information Fusion. 62. 47–62. 66 indexed citations
11.
Slapničar, Gašper, et al.. (2019). Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network. Sensors. 19(15). 3420–3420. 248 indexed citations breakdown →
12.
13.
Gjoreski, Martin, et al.. (2018). Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. 1488–1496. 18 indexed citations
14.
Janko, Vito, et al.. (2018). A New Frontier for Activity Recognition. 1511–1520. 29 indexed citations
15.
Slapničar, Gašper, et al.. (2018). Continuous Blood Pressure Estimation from PPG Signal. 42(1). 48 indexed citations
16.
Slapničar, Gašper & Mitja Luštrek. (2018). Blood Pressure Estimation with a Wristband Optical Sensor. 758–761. 3 indexed citations
17.
Gradišek, Anton, et al.. (2016). Predicting species identity of bumblebees through analysis of flight buzzing sounds. Bioacoustics. 26(1). 63–76. 43 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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