S.V. Andersen

716 citations
42 papers · 518 · h-index 10

Impact in

Papers in

S.V. Andersen

42 papers receiving 481 citations

Peers

S.V. Andersen
Comparison fields: 5 of 68
  • Signal Processing 341
  • Computer Vision and Pattern Recognition 274
  • Computational Mechanics 154
  • Artificial Intelligence 134
  • Computer Networks and Communications 78
Replace E. Shlomot with:
E. Shlomot United States
P. Hedelin Sweden
Stephen Voran United States
Wai C. Chu United States
Takehiro Moriya Japan
K. Järvinen Finland
Richard M. Dansereau Canada
Aaron E. Cohen United States
Jan Skoglund United States
Chao Cheng United States
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Citations per field
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Citations per year

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-authors

The 24 scholars most cited alongside S.V. Andersen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.V. Andersen Line = papers co-authored together S.V. Andersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009
2009143
2 200659
3 200354
4 200246
5 200526
6 200316
7 200216
8
Subspace-based fundamental frequency estimation
200411
9 201210
10
Cooperation in Wireless Networks
200610
11 20029
12 20069
13 20058
14
Inter-frequency dependency in mmse speech enhancement
20047
15 20147
16 20037
17 20056
18 20066
19 20066
20 20065

About S.V. Andersen

S.V. Andersen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 42 papers that have together received 518 indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Advanced Data Compression Techniques (19 papers), Advanced Adaptive Filtering Techniques (13 papers), Wireless Communication Networks Research (8 papers), Blind Source Separation Techniques (6 papers), Music and Audio Processing (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Wireless Communication Techniques (4 papers). The work is most often cited by research in Signal Processing (341 citations), Computer Vision and Pattern Recognition (274 citations), Computational Mechanics (154 citations), Artificial Intelligence (134 citations) and Computer Networks and Communications (78 citations). S.V. Andersen has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Manohar N. Murthi, W. Bastiaan Kleijn, Søren Holdt Jensen, Mattias Nilsson, Mads Græsbøll Christensen, Chunjian Li, R. Hagen, J. Linden, Jan Skoglund and Andreas Jakobsson. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Applied Physics Letters, Electronics Letters, IEEE Signal Processing Letters and EURASIP Journal on Advances in Signal Processing.

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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