L.F. Chaparro

1.1k citations
67 papers · 476 · h-index 12

Impact in

Papers in

L.F. Chaparro

62 papers receiving 436 citations

Peers

L.F. Chaparro
Comparison fields: 5 of 70
  • Signal Processing 187
  • Control and Systems Engineering 161
  • Computer Vision and Pattern Recognition 147
  • Analytical Chemistry 49
  • Physical Therapy, Sports Therapy and Rehabilitation 18
Replace Hongyi Li with:
Hongyi Li China
Sarbani Palit India
Srdjan Stanković Montenegro
John Kormylo United States
Hongguang Ma China
A.V. Dandawaté United States
E.I. Plotkin Canada
Mark J. L. Orr United Kingdom
Vanessa Su Lee Goh United Kingdom
G. Mirchandani United States
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Citations per field
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Citations per year

Countries citing papers authored by L.F. Chaparro

Since Specialization
Citations

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

Fields of papers citing papers by L.F. Chaparro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside L.F. Chaparro, 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.F. Chaparro Line = papers co-authored together L.F. Chaparro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199489
2 199541
3 199620
4 201019
5 197918
6 198717
7 200717
8 200214
9 199713
10 200213
11 200213
12 200211
13 199110
14 20059
15 19939
16 20028
17 20107
18 19997
19 20027
20 19927

About L.F. Chaparro

L.F. Chaparro is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Civil and Structural Engineering and Artificial Intelligence, having authored 67 papers that have together received 476 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (22 papers), Blind Source Separation Techniques (15 papers), Structural Health Monitoring Techniques (13 papers), Control Systems and Identification (11 papers), Machine Fault Diagnosis Techniques (9 papers), Advanced Data Compression Techniques (8 papers), Neural Networks and Applications (7 papers) and Mathematical Analysis and Transform Methods (6 papers). The work is most often cited by research in Signal Processing (187 citations), Control and Systems Engineering (161 citations), Computer Vision and Pattern Recognition (147 citations), Analytical Chemistry (49 citations) and Physical Therapy, Sports Therapy and Rehabilitation (18 citations). L.F. Chaparro has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include A. El-Jaroudi, Arda Kayhan, Aydın Akan, Robert J. Sclabassi, E.I. Jury, Lei Luo, J. M. Furman, M. Mansour, Mark S. Redfern and Patrick J. Loughlin. Their work appears in journals such as Journal of the Franklin Institute, Proceedings of the IEEE, IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

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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