Lars Wanhammar

2.6k citations
162 papers · 1.5k · h-index 22

Impact in

Papers in

Lars Wanhammar

131 papers receiving 1.3k citations

Peers

Lars Wanhammar
Comparison fields: 5 of 47
  • Signal Processing 1.1k
  • Computational Theory and Mathematics 643
  • Hardware and Architecture 198
  • Computer Vision and Pattern Recognition 324
  • Computational Mechanics 291
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H. Samueli United States
Chein-Wei Jen Taiwan
J.D. Bruguera Spain
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Citations per field
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Citations per year

Countries citing papers authored by Lars Wanhammar

Since Specialization
Citations

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

Fields of papers citing papers by Lars Wanhammar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002142
2 200381
3 200669
4 200346
5 200339
6 200939
7 200039
8 200537
9 200033
10 200331
11 200631
12 200728
13
An MILP Approach for the Design of Linear-Phase FIR Filters with Minimum Number of Signed-Power-of-Two Terms
200127
14 200326
15 200325
16 200824
17 199924
18
Low-complexity constant coefficient matrix multiplication using a minimum spanning tree approach
200421
19 200621
20 199921

About Lars Wanhammar

Lars Wanhammar is a scholar working on Signal Processing, Electrical and Electronic Engineering, Biomedical Engineering, Computational Theory and Mathematics and Hardware and Architecture, having authored 162 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (100 papers), Numerical Methods and Algorithms (56 papers), Analog and Mixed-Signal Circuit Design (56 papers), Low-power high-performance VLSI design (50 papers), Advanced Adaptive Filtering Techniques (25 papers), Advancements in PLL and VCO Technologies (24 papers), Advanced Data Compression Techniques (16 papers) and VLSI and FPGA Design Techniques (15 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computational Theory and Mathematics (643 citations), Hardware and Architecture (198 citations), Computer Vision and Pattern Recognition (324 citations) and Computational Mechanics (291 citations). Lars Wanhammar has collaborated with scholars based in Sweden, India and China. Frequent co-authors include Oscar Gustafsson, Håkan Johansson, Kenny Johansson, Andrew G. Dempster, Marcos Martı́nez-Peiro, Eduardo Boemo, Henry Ohlsson, Per Löwenborg, Weidong Li and Mark Vesterbacka. Their work appears in journals such as Signal Processing, Electronics Letters, IEEE Transactions on Signal Processing, Circuits Systems and Signal Processing and IET Computers & Digital Techniques.

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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