M. Torkelson

1.2k citations
36 papers · 934 · h-index 11

Impact in

Papers in

M. Torkelson

32 papers receiving 818 citations

Peers

M. Torkelson
Comparison fields: 5 of 36
  • Signal Processing 607
  • Hardware and Architecture 134
  • Computational Theory and Mathematics 272
  • Electrical and Electronic Engineering 594
  • Computer Vision and Pattern Recognition 164
Replace Shousheng He with:
Shousheng He Sweden
A. Peled United States
Shen‐Fu Hsiao Taiwan
Anindya Sundar Dhar India
Chein-Wei Jen Taiwan
Martin Kumm Germany
Zhongde Wang China
Myung Hoon Sunwoo South Korea
S.A. White United States
M.A. Soderstrand United States
M. Torkelson relative to Shousheng He Sweden Shousheng He's profile →
Citations per field
00.5×1.5×
Shousheng He · 1×
Citations per year

Countries citing papers authored by M. Torkelson

Since Specialization
Citations

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

Fields of papers citing papers by M. Torkelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Torkelson, 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. Torkelson Line = papers co-authored together M. Torkelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002279
2 2002239
3 2002168
4 199640
5 199633
6 200231
7 200226
8 200219
9 200017
10 199510
11 199710
12 19898
13 20027
14 19995
15
Custom DSP implementation of a GSM speech coder
19934
16 19994
17 20024
18 20024
19 19934
20 20023

About M. Torkelson

M. Torkelson is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 36 papers that have together received 934 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (15 papers), Numerical Methods and Algorithms (7 papers), Low-power high-performance VLSI design (7 papers), Advancements in PLL and VCO Technologies (6 papers), Advanced Wireless Communication Techniques (6 papers), PAPR reduction in OFDM (6 papers), Analog and Mixed-Signal Circuit Design (6 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Signal Processing (607 citations), Hardware and Architecture (134 citations), Computational Theory and Mathematics (272 citations), Electrical and Electronic Engineering (594 citations) and Computer Vision and Pattern Recognition (164 citations). M. Torkelson has collaborated with scholars based in Sweden and United States. Frequent co-authors include Shousheng He, Peter Nilsson, Viktor Öwall, Thomas Olsson, Lars Wanhammar, Pietro Andreani, Sara Johansson, Mark Vesterbacka, Rajeev Jain and Per Ranstad. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Electronics Letters, IEEE Signal Processing Letters, Analog Integrated Circuits and Signal Processing and 1993 IEEE International Symposium on Circuits and Systems.

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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