L. Jackson

1.1k citations
35 papers · 786 · h-index 14

Impact in

Papers in

L. Jackson

34 papers receiving 681 citations

Peers

L. Jackson
Comparison fields: 5 of 58
  • Signal Processing 497
  • Computational Theory and Mathematics 220
  • Computational Mechanics 264
  • Hardware and Architecture 59
  • Computer Vision and Pattern Recognition 166
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T. Claasen Netherlands
Adly T. Fam United States
S.A. White United States
Phillip A. Regalia United States
M. Kawamata Japan
Masayuki Kawamata Japan
M. Narasimha United States
Jürgen Götze Germany
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Citations per field
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Citations per year

Countries citing papers authored by L. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by L. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968154
2 1970131
3 1979123
4 197656
5 197242
6 197838
7 199437
8 200526
9 197925
10 200024
11 196818
12 197516
13 200815
14 200513
15 19899
16 19719
17 19896
18 19946
19 20026
20 19805

About L. Jackson

L. Jackson is a scholar working on Signal Processing, Computational Mechanics, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 35 papers that have together received 786 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (15 papers), Digital Filter Design and Implementation (14 papers), Structural Health Monitoring Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Numerical Methods and Algorithms (5 papers), Speech and Audio Processing (5 papers), Underwater Acoustics Research (4 papers) and Analog and Mixed-Signal Circuit Design (4 papers). The work is most often cited by research in Signal Processing (497 citations), Computational Theory and Mathematics (220 citations), Computational Mechanics (264 citations), Hardware and Architecture (59 citations) and Computer Vision and Pattern Recognition (166 citations). L. Jackson has collaborated with scholars based in United States, China and Finland. Frequent co-authors include J. Kaiser, A.G. Lindgren, Young Kim, Simon Wood, Frank K. Soong, Ronald W. Schafer, D.W. Tufts, Hwa Chien, L. R. Rabiner and L.M. Wedepohl. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, Journal of Media Literacy Education, eNeuro and IEEE Signal Processing 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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