M.A. Soderstrand

95 papers receiving 1.2k citations

Peers

M.A. Soderstrand
Comparison fields: 5 of 55
  • Signal Processing 363
  • Information Systems 584
  • Computational Theory and Mathematics 411
  • Hardware and Architecture 156
  • Artificial Intelligence 497
Replace Thanos Stouraitis with:
Thanos Stouraitis Greece
Vassil S. Dimitrov Canada
Arnaud Tisserand France
Vassilis Paliouras Greece
J.D. Bruguera Spain
Shuenn‐Shyang Wang Taiwan
Sun Yuan Kung United States
Hubert Kaeslin Switzerland
Chin-Liang Wang Taiwan
Gerald E. Sobelman United States
M.A. Soderstrand relative to Thanos Stouraitis Greece Thanos Stouraitis's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.A. Soderstrand

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Soderstrand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Soderstrand. 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 M.A. Soderstrand. The network helps show where M.A. Soderstrand may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Residue number system arithmetic: modern applications in digital signal processing
1986559
2 197761
3 198352
4 199741
5 197139
6 198632
7 197732
8 197624
9 198024
10 200320
11 196920
12 197819
13
Modern Active Filter Design
198118
14 199616
15 199515
16 198415
17 200214
18 200214
19 199114
20 200313

About M.A. Soderstrand

M.A. Soderstrand is a scholar working on Signal Processing, Computational Mechanics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (50 papers), Advanced Adaptive Filtering Techniques (41 papers), Numerical Methods and Algorithms (24 papers), Analog and Mixed-Signal Circuit Design (19 papers), Cryptography and Residue Arithmetic (17 papers), Speech and Audio Processing (15 papers), Image and Signal Denoising Methods (11 papers) and Structural Health Monitoring Techniques (9 papers). The work is most often cited by research in Signal Processing (363 citations), Information Systems (584 citations), Computational Theory and Mathematics (411 citations), Hardware and Architecture (156 citations) and Artificial Intelligence (497 citations). M.A. Soderstrand has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include W.K. Jenkins, Fred J. Taylor, GRAHAM A. JULLIEN, Cecilia Vernia, Karl E. Nelson, H.H. Loomis, Sushmita Mitra, Louis G. Johnson, Sanjit Mitra and Akbar Azam. Their work appears in journals such as Proceedings of the IEEE, The Journal of the Acoustical Society of America, Analog Integrated Circuits and Signal Processing, IEEE Transactions on Education and IEEE Circuits and Systems Magazine.

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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