S.V. Andersen

716 total citations
42 papers, 518 citations indexed

About

S.V. Andersen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, S.V. Andersen has authored 42 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 23 papers in Computer Vision and Pattern Recognition and 13 papers in Computational Mechanics. Recurrent topics in S.V. Andersen's work include Speech and Audio Processing (23 papers), Advanced Data Compression Techniques (19 papers) and Advanced Adaptive Filtering Techniques (13 papers). S.V. Andersen is often cited by papers focused on Speech and Audio Processing (23 papers), Advanced Data Compression Techniques (19 papers) and Advanced Adaptive Filtering Techniques (13 papers). S.V. Andersen collaborates with scholars based in Denmark, United States and Sweden. S.V. Andersen's co-authors include Manohar N. Murthi, W. Bastiaan Kleijn, Søren Holdt Jensen, Mattias Nilsson, Chunjian Li, Mads Græsbøll Christensen, R. Hagen, J. Linden, Jan Skoglund and Andreas Jakobsson and has published in prestigious journals such as Applied Physics Letters, Electronics Letters and IEEE Signal Processing Letters.

In The Last Decade

S.V. Andersen

42 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S.V. Andersen Denmark	10	341	274	154	134	78	42	518
Aaron E. Cohen United States	9	285 0.8×	124 0.5×	82 0.5×	203 1.5×	95 1.2×	26	521
Wai C. Chu United States	8	284 0.8×	437 1.6×	101 0.7×	141 1.1×	29 0.4×	24	642
P. Hedelin Sweden	15	396 1.2×	448 1.6×	98 0.6×	215 1.6×	98 1.3×	66	646
Abhijit Karmakar India	13	174 0.5×	184 0.7×	87 0.6×	121 0.9×	31 0.4×	53	457
Richard M. Dansereau Canada	11	305 0.9×	118 0.4×	149 1.0×	133 1.0×	24 0.3×	81	545
Jan Skoglund United States	15	643 1.9×	423 1.5×	200 1.3×	272 2.0×	37 0.5×	61	831
Christophe Couvreur Belgium	8	178 0.5×	139 0.5×	62 0.4×	275 2.1×	42 0.5×	21	476
K. Järvinen Finland	9	246 0.7×	235 0.9×	75 0.5×	121 0.9×	85 1.1×	19	398
M. Ross United States	4	281 0.8×	114 0.4×	75 0.5×	148 1.1×	55 0.7×	8	412
E. Shlomot United States	9	319 0.9×	185 0.7×	144 0.9×	157 1.2×	35 0.4×	18	423

Countries citing papers authored by S.V. Andersen

Since Specialization

Citations

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

Fields of papers citing papers by S.V. Andersen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.V. Andersen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Swärd, Johan, et al.. (2016). Conjugate priors for Gaussian emission plsa recommender systems. Lund University Publications (Lund University). 3. 2096–2100. 1 indexed citations

Andersen, S.V., et al.. (2014). Interaction between O2 and ZnO films probed by time-dependent second-harmonic generation. Applied Physics Letters. 104(5). 7 indexed citations

Andersen, S.V., et al.. (2009). IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. International Conference on Acoustics, Speech, and Signal Processing. 143 indexed citations

Murthi, Manohar N., et al.. (2009). On GMM Kalman predictive coding of LSFS for packet loss. Lund University Publications (Lund University). 14. 4105–4108. 4 indexed citations

Murthi, Manohar N., et al.. (2009). Gaussian Mixture Kalman Predictive Coding of Line Spectral Frequencies. IEEE Transactions on Audio Speech and Language Processing. 17(2). 379–391. 3 indexed citations

Murthi, Manohar N., et al.. (2008). Gaussian Mixture Kalman predictive coding of LSFS. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1. 4777–4780. 3 indexed citations

Murthi, Manohar N., et al.. (2006). Hidden Markov model-based packet loss concealment for voice over IP. IEEE Transactions on Audio Speech and Language Processing. 14(5). 1609–1623. 59 indexed citations

Murthi, Manohar N., et al.. (2006). Packet Loss Concealment with Natural Variations using HMM. 1. I–21. 3 indexed citations

Li, Chunjian & S.V. Andersen. (2006). Blind Identification of Non-Gaussian Autoregressive Models for Efficient Analysis of Speech Signals. 1. I–1205. 5 indexed citations

10.

Christensen, Mads Græsbøll, Andreas Jakobsson, S.V. Andersen, & Søren Holdt Jensen. (2005). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). International Conference on Acoustics, Speech, and Signal Processing. 4 indexed citations

11.

Li, Chunjian & S.V. Andersen. (2005). Integrating Kalman filtering and multi-pulse coding for speech enhancement with a non-stationary model of the speech signal. 2. 2300–2304. 3 indexed citations

12.

Andersen, S.V., et al.. (2005). Property vector based distortion estimation. VBN Forskningsportal (Aalborg Universitet). 2. 2275–2279. 4 indexed citations

13.

Christensen, Mads Græsbøll, Søren Holdt Jensen, S.V. Andersen, & Andreas Jakobsson. (2004). Subspace-based fundamental frequency estimation. VBN Forskningsportal (Aalborg Universitet). 637–640. 11 indexed citations

14.

Andersen, S.V., et al.. (2004). Speech presence detection in the time-frequency domain using minimum statistics. Lund University Publications (Lund University). 46. 340–343. 1 indexed citations

15.

Li, Chunjian & S.V. Andersen. (2004). Inter-frequency dependency in mmse speech enhancement. Lund University Publications (Lund University). 46. 200–203. 7 indexed citations

16.

Christensen, Mads Græsbøll, et al.. (2003). Compressed domain packet loss concealment of sinusoidally coded speech. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–104. 16 indexed citations

17.

Andersen, S.V., W. Bastiaan Kleijn, R. Hagen, et al.. (2003). iLBC - a linear predictive coder with robustness to packet losses. 23–25. 54 indexed citations

18.

Andersen, S.V., Søren Holdt Jensen, & Egon Bech Hansen. (2002). Quantization noise modeling in low-delay speech coding. Lund University Publications (Lund University). 65–66. 3 indexed citations

19.

Andersen, S.V.. (1998). Quantization Noise Modeling in Predictive Speech Coding. 1 indexed citations

20.

Andersen, S.V., Søren Holdt Jensen, & Egon Bech Hansen. (1997). Quantization noise modeling in low-delay vector predictive speech coding. Lund University Publications (Lund University). 299–302. 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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