Steven Sandoval

426 total citations
39 papers, 261 citations indexed

About

Steven Sandoval is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steven Sandoval has authored 39 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steven Sandoval's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Image and Signal Denoising Methods (6 papers). Steven Sandoval is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Image and Signal Denoising Methods (6 papers). Steven Sandoval collaborates with scholars based in United States, Netherlands and Sweden. Steven Sandoval's co-authors include Phillip L. De León, Rene L. Utianski, Julie Liss, Visar Berisha, Andreas Spanias, Laura E. Boucheron, David Voelz, Adrian Stoica, Jiajing Xu and Nicole Lehrer and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Optics Express.

In The Last Decade

Steven Sandoval

33 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Sandoval United States 9 92 74 73 66 40 39 261
Sean A. Fulop United States 8 165 1.8× 119 1.6× 104 1.4× 28 0.4× 29 0.7× 47 399
Jacqueline Walker Ireland 9 79 0.9× 59 0.8× 86 1.2× 68 1.0× 39 1.0× 32 371
Julien Pinquier France 12 180 2.0× 45 0.6× 192 2.6× 74 1.1× 112 2.8× 61 381
Andrew Lundberg United States 6 127 1.4× 187 2.5× 111 1.5× 118 1.8× 48 1.2× 14 344
Slim Ouni France 11 177 1.9× 192 2.6× 203 2.8× 28 0.4× 63 1.6× 51 370
P. Vijayalakshmi India 12 359 3.9× 135 1.8× 248 3.4× 136 2.1× 44 1.1× 101 582
Daniel Aalto Canada 13 177 1.9× 169 2.3× 132 1.8× 92 1.4× 21 0.5× 59 507
Tokihiko Kaburagi Japan 11 171 1.9× 186 2.5× 191 2.6× 86 1.3× 48 1.2× 49 320
Miloš Cerňak Switzerland 14 365 4.0× 125 1.7× 282 3.9× 85 1.3× 63 1.6× 61 487
Agustín Álvarez-Marquina Spain 11 190 2.1× 81 1.1× 175 2.4× 202 3.1× 33 0.8× 73 420

Countries citing papers authored by Steven Sandoval

Since Specialization
Citations

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

Fields of papers citing papers by Steven Sandoval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Sandoval

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Sandoval. A scholar is included among the top collaborators of Steven Sandoval 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 Steven Sandoval. Steven Sandoval 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.
Boucheron, Laura E., et al.. (2024). Estimation of motion blur kernel parameters using regression convolutional neural networks. Journal of Electronic Imaging. 33(2). 3 indexed citations
2.
Boucheron, Laura E., et al.. (2024). Estimation of non-uniform motion blur using a patch-based regression convolutional neural network. Applied Optics. 63(16). E86–E86.
3.
Sandoval, Steven, et al.. (2024). Rotor-Based Convolution for Vector-Valued Signals. 847–851. 1 indexed citations
4.
Sandoval, Steven, et al.. (2023). Facial classification from multispectral imagery through atmospheric turbulence using machine learning. 10204. 6–6. 1 indexed citations
5.
Sandoval, Steven, et al.. (2023). Deep learning estimation of modified Zernike coefficients and recovery of point spread functions in turbulence. Optics Express. 31(14). 22903–22903. 15 indexed citations
6.
Boucheron, Laura E., et al.. (2023). A patch-based regression convolutional neural network for motion blur estimation. 57. 54–54. 1 indexed citations
7.
Sandoval, Steven & Phillip L. De León. (2022). Recasting the (Synchrosqueezed) Short-Time Fourier Transform as an Instantaneous Spectrum. Entropy. 24(4). 518–518. 7 indexed citations
8.
Sandoval, Steven, et al.. (2020). Prosodic Entrainment in Conversations of Verbal Children and Teens on the Autism Spectrum. Frontiers in Psychology. 11. 582221–582221. 17 indexed citations
9.
Sandoval, Steven, et al.. (2020). The Relationship between Prosodic Ability and Conversational Prosodic Entrainment. PubMed. 2020. 769–773. 4 indexed citations
10.
Ramos, Rafael, Steven Sandoval, Julie Bellerose, et al.. (2020). Challenges Facing The Student Space Systems Fabrication Laboratory And Lessons Learned. 12.350.1–12.350.15.
11.
Liu, Thomas T., R. Ramos, Steven Sandoval, et al.. (2020). The Student Space Systems Fabrication Laboratory: An Approach To Space Systems Engineering Education. Papers on Engineering Education Repository (American Society for Engineering Education). 11.1332.1–11.1332.14. 4 indexed citations
12.
Sandoval, Steven, et al.. (2019). Average Formant Trajectories. Perspectives of the ASHA Special Interest Groups. 4(4). 719–732. 3 indexed citations
13.
Sandoval, Steven & Phillip L. De León. (2017). Advances in Empirical Mode Decomposition for computing Instantaneous Amplitudes and Instantaneous Frequencies. 59. 4311–4315. 8 indexed citations
14.
Berisha, Visar, Julie Liss, Steven Sandoval, Rene L. Utianski, & Andreas Spanias. (2014). Modeling pathological speech perception from data with similarity labels. PubMed. 34. 915–919. 19 indexed citations
15.
Berisha, Visar, Steven Sandoval, Rene L. Utianski, Julie Liss, & Andreas Spanias. (2014). Characterizing the distribution of the quadrilateral vowel space area. The Journal of the Acoustical Society of America. 135(1). 421–427. 14 indexed citations
16.
Sandoval, Steven, Visar Berisha, Rene L. Utianski, Julie Liss, & Andreas Spanias. (2013). Automatic assessment of vowel space area. The Journal of the Acoustical Society of America. 134(5). EL477–EL483. 62 indexed citations
17.
Berisha, Visar, Steven Sandoval, & Julie Liss. (2013). Bandwidth Extension of Speech Using Perceptual Criteria. 5(2). 1–83.
18.
Utianski, Rene L., Steven Sandoval, Nicole Lehrer, Visar Berisha, & Julie Liss. (2013). Speech assist: An augmentative tool for practice in speech-language pathology. The Journal of the Acoustical Society of America. 134(5_Supplement). 4134–4134. 3 indexed citations
19.
Berisha, Visar, Steven Sandoval, & Julie Liss. (2013). Bandwidth Extension of Speech Using Perceptual Criteria. 1 indexed citations
20.
Stoica, Adrian, et al.. (2006). Humanoids for lunar and planetary surface operations. 345–345. 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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