J.W. Pitton

990 citations
48 papers · 674 · h-index 12

Impact in

Papers in

J.W. Pitton

46 papers receiving 614 citations

Peers

J.W. Pitton
Comparison fields: 5 of 78
  • Signal Processing 245
  • Computer Vision and Pattern Recognition 281
  • Control and Systems Engineering 238
  • Oceanography 63
  • Civil and Structural Engineering 110
Replace Raffaele Parisi with:
Raffaele Parisi Italy
Victor Sucic Croatia
Dapang Chen United States
M.R. Portnoff United States
Temujin Gautama Belgium
J. Jeong South Korea
A. El-Jaroudi United States
S. Kadambe United States
Nabeel Ali Khan Pakistan
Marcello L. R. de Campos Brazil
J.W. Pitton relative to Raffaele Parisi Italy Raffaele Parisi's profile →
Citations per field
00.5×1.5×
Raffaele Parisi · 1×
Citations per year

Countries citing papers authored by J.W. Pitton

Since Specialization
Citations

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

Fields of papers citing papers by J.W. Pitton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.W. Pitton. 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 J.W. Pitton. The network helps show where J.W. Pitton may publish in the future.

Co-authors

The 20 scholars most cited alongside J.W. Pitton, 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 J.W. Pitton Line = papers co-authored together J.W. Pitton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994109
2 199359
3 200455
4 199643
5 199442
6 199440
7 201636
8 199232
9 201724
10 200623
11 199317
12 201411
13 200311
14 201511
15 200511
16 200211
17 201510
18 199810
19 20159
20 19918

About J.W. Pitton

J.W. Pitton is a scholar working on Signal Processing, Control and Systems Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Oceanography, having authored 48 papers that have together received 674 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (18 papers), Speech and Audio Processing (13 papers), Image and Signal Denoising Methods (13 papers), Blind Source Separation Techniques (13 papers), Underwater Acoustics Research (12 papers), Structural Health Monitoring Techniques (11 papers), Music and Audio Processing (6 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Signal Processing (245 citations), Computer Vision and Pattern Recognition (281 citations), Control and Systems Engineering (238 citations), Oceanography (63 citations) and Civil and Structural Engineering (110 citations). J.W. Pitton has collaborated with scholars based in United States and China. Frequent co-authors include Les Atlas, Patrick J. Loughlin, Somsak Sukittanon, Blake Hannaford, Kuan-Hui Lee, Jenq–Neng Hwang, Biing‐Hwang Juang, Scott Wisdom, Thomas A. Powers and Warren L. J. Fox. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Intelligent Transportation Systems, Multidimensional Systems and Signal Processing and Journal of the Franklin Institute.

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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