S.D. Hansen

487 total citations
16 papers, 342 citations indexed

About

S.D. Hansen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, S.D. Hansen has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 4 papers in Computational Mechanics. Recurrent topics in S.D. Hansen's work include Advanced Data Compression Techniques (7 papers), Speech and Audio Processing (6 papers) and Image and Signal Denoising Methods (4 papers). S.D. Hansen is often cited by papers focused on Advanced Data Compression Techniques (7 papers), Speech and Audio Processing (6 papers) and Image and Signal Denoising Methods (4 papers). S.D. Hansen collaborates with scholars based in Denmark, Belgium and United States. S.D. Hansen's co-authors include Per Christian Hansen, John Aasted Sørensen, Søren Holdt Jensen, Henrik Nielsen, Fin Biering‐Sørensen and Søren Riis and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Speech and Audio Processing and IEEE Transactions on Rehabilitation Engineering.

In The Last Decade

S.D. Hansen

15 papers receiving 296 citations

Peers

S.D. Hansen

SP

CM

BE

CN

CVPR

J.A. Stuller United States

Nurettin Acır Türkiye

P. Papamichalis United States

Sérgio Almeida Brazil

Márcio Holsbach Costa Brazil

Kyuwan Choi Japan

Nirmal Kumar Rout India

Richard M. Dansereau Canada

Prem C. Pandey India

Y.N. Rao United States

J.A. Stuller United States

S.D. Hansen

119 ×0.6

SP

64 ×0.4

CM

102 ×1.1

BE

45 ×0.7

CN

176 ×2.8

CVPR

Citations per year, relative to S.D. Hansen S.D. Hansen (= 1×) peers J.A. Stuller

Countries citing papers authored by S.D. Hansen

Since Specialization

Citations

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

Fields of papers citing papers by S.D. Hansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.D. Hansen. 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 S.D. Hansen. The network helps show where S.D. Hansen may publish in the future.

Co-authorship network of co-authors of S.D. Hansen

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

All Works

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16 of 16 papers shown

1.

Hansen, S.D., et al.. (2002). Speech quality assessment of compounded digital telecommunication systems; perceptual dimensions. 2. 1375–1378.

2.

Nielsen, Henrik, et al.. (2002). Quantization of non-linear predictors in speech coding. 1. 265–268. 2 indexed citations

3.

Nielsen, Henrik, et al.. (2002). Non-linear short-term prediction in speech coding. i. I/185–I/188. 36 indexed citations

4.

Biering‐Sørensen, Fin, et al.. (2002). Adaptive filters for muscle response suppression. 2. 518–520. 2 indexed citations

5.

Sørensen, John Aasted, et al.. (2002). Objective speech quality assessment of compounded digital telecommunication systems. 42. 137–142. 1 indexed citations

6.

Hansen, Per Christian, et al.. (1999). Experimental comparison of signal subspace based noise reduction methods. 101–104 vol.1. 12 indexed citations

7.

Riis, Søren & S.D. Hansen. (1999). Hidden Markov models and neural networks for speech recognition. 17 indexed citations

8.

Biering‐Sørensen, Fin, et al.. (1997). Functional neuromuscular stimulation controlled by surface electromyographic signals produced by volitional activation of the same muscle: adaptive removal of the muscle response from the recorded EMG-signal. IEEE Transactions on Rehabilitation Engineering. 5(2). 195–206. 62 indexed citations

9.

Hansen, S.D., et al.. (1997). Modeling and evaluation of multimodal perceptual quality. IEEE Signal Processing Magazine. 14(4). 38–39. 1 indexed citations

10.

Hansen, Per Christian, et al.. (1996). Noise Reduction Of Speech Signals Using The Rank-Revealing Ullv Decomposition. Zenodo (CERN European Organization for Nuclear Research). 1–4. 5 indexed citations

11.

Jensen, Søren Holdt, Per Christian Hansen, S.D. Hansen, & John Aasted Sørensen. (1995). Reduction of broad-band noise in speech by truncated QSVD. IEEE Transactions on Speech and Audio Processing. 3(6). 439–448. 163 indexed citations

12.

Jensen, Søren Holdt, Per Christian Hansen, S.D. Hansen, & John Aasted Sørensen. (1994). Signal Processing VII: Theories and Applications. 26 indexed citations

13.

Jensen, Søren Holdt, Per Christian Hansen, S.D. Hansen, & John Aasted Sørensen. (1994). A Signal Subspace Approach for Noise Reduction of Speech Signals. 1174–1177. 1 indexed citations

14.

Hansen, S.D., et al.. (1993). Using neural networks for vector quantization in low rate speech coders. IEEE International Conference on Acoustics Speech and Signal Processing. 431–434 vol.2. 3 indexed citations

15.

Nielsen, Henrik, et al.. (1992). Improvements in 2.4 kbps high-quality speech coding. 145–148 vol.2. 9 indexed citations

16.

Nielsen, Henrik, et al.. (1991). A 2.4 kbps high-quality speech coder. 589–592 vol.1. 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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