R.D. DeGroat

947 citations
60 papers · 728 · h-index 14

Impact in

    • Direction-of-Arrival Estimation Techniques
    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Advanced Adaptive Filtering Techniques

Papers in

    • Direction-of-Arrival Estimation Techniques 32
    • Blind Source Separation Techniques 20
    • Speech and Audio Processing 13
    • Advanced Adaptive Filtering Techniques 24

R.D. DeGroat

52 papers receiving 685 citations

Peers

R.D. DeGroat
Comparison fields: 5 of 52
  • Signal Processing 521
  • Computational Mechanics 294
  • Applied Mathematics 87
  • Aerospace Engineering 111
  • Civil and Structural Engineering 90
Replace A.K. Shaw with:
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by R.D. DeGroat

Since Specialization
Citations

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

Fields of papers citing papers by R.D. DeGroat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.D. DeGroat. 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 R.D. DeGroat. The network helps show where R.D. DeGroat may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992116
2 1994100
3 199063
4 199358
5 199346
6 199440
7 199132
8
The Equivalence of the Total Least Squares and Minimum Norm Methods
199124
9 199522
10 199218
11 199818
12 199217
13 199417
14 199114
15 199611
16 19958
17 19918
18 19928
19 20028
20 19928

About R.D. DeGroat

R.D. DeGroat is a scholar working on Signal Processing, Computational Mechanics, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 60 papers that have together received 728 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (32 papers), Advanced Adaptive Filtering Techniques (24 papers), Blind Source Separation Techniques (20 papers), Speech and Audio Processing (13 papers), Control Systems and Identification (10 papers), Statistical and numerical algorithms (7 papers), Structural Health Monitoring Techniques (6 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Signal Processing (521 citations), Computational Mechanics (294 citations), Applied Mathematics (87 citations), Aerospace Engineering (111 citations) and Civil and Structural Engineering (90 citations). R.D. DeGroat has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Eric M. Dowling, D.A. Linebarger, Richard A. Roberts, L.R. Hunt, Petre Stoica, Mark Andrews, Marc Moonen, Paul Van Dooren, Joos Vandewalle and Gerald L. Fudge. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, Journal of Systems Architecture, Journal of Speech Language and Hearing Research and IEEE Signal Processing Letters.

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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