Johan Swärd

458 citations
38 papers · 337 · h-index 10

Impact in

Papers in

    • Sparse and Compressive Sensing Techniques 15
    • Blind Source Separation Techniques 9
    • Speech and Audio Processing 4
    • Direction-of-Arrival Estimation Techniques 4

Johan Swärd

36 papers receiving 308 citations

Peers

Johan Swärd
Comparison fields: 5 of 72
  • Signal Processing 74
  • Nature and Landscape Conservation 64
  • Computational Mechanics 87
  • Environmental Engineering 50
  • Insect Science 41
Replace Anders Gustavsson with:
Anders Gustavsson Sweden
T. C. A. Molteno New Zealand
Bing Ouyang United States
Özlem Kıłıc United States
Chuang Qian China
Jingsheng Zhai China
Martin Servin Sweden
Cinzia Lastri Italy
Julio Martín-Herrero Spain
Johan Swärd relative to Anders Gustavsson Sweden Anders Gustavsson's profile →
Citations per field
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Anders Gustavsson · 1×
Citations per year

Countries citing papers authored by Johan Swärd

Since Specialization
Citations

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

Fields of papers citing papers by Johan Swärd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johan Swärd, 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 Johan Swärd Line = papers co-authored together Johan Swärd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Designing a new national forest survey for Sweden
1987106
2 201741
3 201526
4 201618
5 202116
6 201814
7 202012
8 201911
9 20179
10 20169
11 20198
12 20168
13 20217
14 20174
15 20174
16
Enhancing smoothness in amplitude modulated sparse signals
20164
17 20144
18
Canceling stationary interference signals exploiting secondary data
20143
19 20143
20 20173

About Johan Swärd

Johan Swärd is a scholar working on Computational Mechanics, Signal Processing, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 38 papers that have together received 337 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (15 papers), Structural Health Monitoring Techniques (9 papers), Blind Source Separation Techniques (9 papers), Image and Signal Denoising Methods (7 papers), Radar Systems and Signal Processing (4 papers), Speech and Audio Processing (4 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). The work is most often cited by research in Signal Processing (74 citations), Nature and Landscape Conservation (64 citations), Computational Mechanics (87 citations), Environmental Engineering (50 citations) and Insect Science (41 citations). Johan Swärd has collaborated with scholars based in Sweden, United States and Estonia. Frequent co-authors include Andreas Jakobsson, Bo Ranneby, Maria Hansson-Sandsten, Hongbin Li, Fucai Li, Xiaotong Tu, Christian Jamtheim Gustafsson, Xin Zhang, Lars Olsson and Göran Carlström. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Aerospace and Electronic Systems and The Journal of Physical Chemistry A.

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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