Maria Sandsten

495 total citations
47 papers, 369 citations indexed

About

Maria Sandsten is a scholar working on Signal Processing, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Maria Sandsten has authored 47 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 12 papers in Control and Systems Engineering and 9 papers in Civil and Structural Engineering. Recurrent topics in Maria Sandsten's work include Blind Source Separation Techniques (10 papers), Structural Health Monitoring Techniques (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Maria Sandsten is often cited by papers focused on Blind Source Separation Techniques (10 papers), Structural Health Monitoring Techniques (9 papers) and Machine Fault Diagnosis Techniques (7 papers). Maria Sandsten collaborates with scholars based in Sweden, United States and Denmark. Maria Sandsten's co-authors include Nabeel Ali Khan, Lisa M. Gatzke‐Kopp, Alysia Y. Blandon, Kathleen M. Gates, Georg Lindgren, Holger Rootzén, Peter Jönsson, Bengt Hansson, Maja Tarka and Dennis Hasselquist and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Animal Behaviour.

In The Last Decade

Maria Sandsten

45 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Sandsten Sweden 10 90 72 69 57 52 47 369
Ali Komaty France 6 124 1.4× 84 1.2× 38 0.6× 65 1.1× 47 0.9× 10 397
Juan Antonio Talavera Spain 8 58 0.6× 25 0.3× 23 0.3× 33 0.6× 69 1.3× 13 304
Maria Hansson-Sandsten Sweden 10 48 0.5× 217 3.0× 32 0.5× 55 1.0× 26 0.5× 28 348
Pavel Sovka Czechia 12 30 0.3× 106 1.5× 31 0.4× 34 0.6× 215 4.1× 53 458
Christelle Godin France 9 26 0.3× 10 0.1× 44 0.6× 27 0.5× 31 0.6× 27 408
Samir Ouelha Qatar 9 117 1.3× 149 2.1× 40 0.6× 90 1.6× 96 1.8× 15 377
B. S. Raghavendra India 10 12 0.1× 53 0.7× 35 0.5× 37 0.6× 138 2.7× 37 379
Stefan Schinkel Germany 8 20 0.2× 48 0.7× 35 0.5× 24 0.4× 155 3.0× 10 383
Christopher J. Cellucci United States 12 24 0.3× 72 1.0× 39 0.6× 7 0.1× 184 3.5× 23 540
Keisuke Fujii Japan 15 31 0.3× 50 0.7× 11 0.2× 105 1.8× 88 1.7× 95 625

Countries citing papers authored by Maria Sandsten

Since Specialization
Citations

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

Fields of papers citing papers by Maria Sandsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Sandsten

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Sandsten. A scholar is included among the top collaborators of Maria Sandsten 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 Maria Sandsten. Maria Sandsten 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.
Mogren, Olof, et al.. (2024). From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. Lund University Publications (Lund University). 902–906. 1 indexed citations
2.
Aličković, Emina, et al.. (2024). Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment. Frontiers in Neuroscience. 18. 1415397–1415397. 1 indexed citations
3.
Aličković, Emina, et al.. (2023). Coherence Estimation Tracks Auditory Attention in Listeners with Hearing Impairment. Lund University Publications (Lund University). 5162–5166. 2 indexed citations
4.
Aličković, Emina, et al.. (2023). Decoding Auditory Attention From EEG Data Using Cepstral Analysis. Lund University Publications (Lund University). 1–5. 3 indexed citations
5.
6.
Sandsten, Maria, et al.. (2020). The Smoothed Reassigned Spectrogram for Robust Energy Estimation. Lund University Publications (Lund University). 2210–2214. 1 indexed citations
7.
Sandsten, Maria, et al.. (2019). Efficient Thomson Spectral Estimator with Time-shifted Windows. Lund University Publications (Lund University). 98. 4983–4987. 1 indexed citations
8.
Sandsten, Maria, et al.. (2019). The Matched Reassignment Applied to Echolocation Data. 8236–8240. 5 indexed citations
9.
Jönsson, Peter, et al.. (2018). Effects of Age, BMI, Anxiety and Stress on the Parameters of a Stochastic Model for Heart Rate Variability Including Respiratory Information. Lund University Publications (Lund University). 17–25. 5 indexed citations
10.
Sandsten, Maria, et al.. (2018). Parameter estimation of Oscillating Gaussian functions using the scaled reassigned spectrogram. Signal Processing. 150. 20–32. 20 indexed citations
11.
Jönsson, Peter, et al.. (2018). Insights on Spectral Measures for HRV Based on a Novel Approach for Data Acquisition. PubMed. 2018. 510–513. 2 indexed citations
12.
Sandsten, Maria, et al.. (2018). Classification of EEG signals based on mean-square error optimal time-frequency features. Lund University Publications (Lund University). 106–110. 4 indexed citations
13.
Jakobsson, Andreas, et al.. (2018). Least Squares and Maximum Likelihood Estimation of Mixed Spectra. Lund University Publications (Lund University). 2345–2349. 1 indexed citations
14.
Sandsten, Maria, et al.. (2017). The scaled reassigned spectrogram adapted for detection and localisation of transient signals. Lund University Publications (Lund University). 907–911. 7 indexed citations
15.
Sandsten, Maria, et al.. (2017). Classification of one-dimensional non-stationary signals using the Wigner-Ville distribution in convolutional neural networks. Lund University Publications (Lund University). 326–330. 14 indexed citations
16.
Sandsten, Maria, et al.. (2017). Classification of bird song syllables using Wigner-Ville ambiguity function cross-terms. Lund University Publications (Lund University). 1739–1743. 3 indexed citations
17.
Sandsten, Maria, et al.. (2016). Robust feature representation for classification of bird song syllables. EURASIP Journal on Advances in Signal Processing. 2016(1). 3 indexed citations
18.
Gates, Kathleen M., Lisa M. Gatzke‐Kopp, Maria Sandsten, & Alysia Y. Blandon. (2015). Estimating time‐varying RSA to examine psychophysiological linkage of marital dyads. Psychophysiology. 52(8). 1059–1065. 86 indexed citations
19.
Sandsten, Maria, et al.. (2014). Multitaper Estimation Of The Coherence Spectrum In Low Snr. Lund University Publications (Lund University). 1019–1023. 1 indexed citations
20.
Sandsten, Maria. (2010). Multitaper Wigner distribution with pre-determined doppler-lag bandwdith and sidelobe suppression. Lund University Publications (Lund University). 2010. 1737–1741. 1 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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