C.E. Davila

837 citations
39 papers · 600 · h-index 13

Impact in

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

Papers in

C.E. Davila

34 papers receiving 569 citations

Peers

C.E. Davila
Comparison fields: 5 of 58
  • Signal Processing 314
  • Computational Mechanics 269
  • Cognitive Neuroscience 139
  • Computer Vision and Pattern Recognition 117
  • Control and Systems Engineering 111
Replace A.A. Beex with:
A.A. Beex United States
İlker Bayram Türkiye
Luis F. Chaparro United States
Mauro Mangia Italy
D.A. Linebarger United States
S. Kadambe United States
Éric Grivel France
Binwei Weng United States
Saideh Ferdowsi United Kingdom
Masao Yamagishi Japan
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Citations per field
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A.A. Beex · 1×
Citations per year

Countries citing papers authored by C.E. Davila

Since Specialization
Citations

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

Fields of papers citing papers by C.E. Davila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.E. Davila. 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 C.E. Davila. The network helps show where C.E. Davila may publish in the future.

Co-authors

The 13 scholars most cited alongside C.E. Davila, 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 C.E. Davila Line = papers co-authored together C.E. Davila links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994131
2 199873
3 199264
4 198753
5 200030
6 200029
7 199424
8 199323
9 199820
10 202119
11 199118
12 199416
13 200113
14 200712
15 199411
16 199510
17 20227
18 19926
19 20026
20 20195

About C.E. Davila

C.E. Davila is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 600 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (28 papers), Advanced Adaptive Filtering Techniques (22 papers), Neural dynamics and brain function (8 papers), Image and Signal Denoising Methods (6 papers), Speech and Audio Processing (6 papers), Visual perception and processing mechanisms (5 papers), Direction-of-Arrival Estimation Techniques (4 papers) and Statistical and numerical algorithms (4 papers). The work is most often cited by research in Signal Processing (314 citations), Computational Mechanics (269 citations), Cognitive Neuroscience (139 citations), Computer Vision and Pattern Recognition (117 citations) and Control and Systems Engineering (111 citations). C.E. Davila has collaborated with scholars based in United States, United Kingdom and Cuba. Frequent co-authors include Mohammadsadegh Mobin, R. Srebro, A. Welch, H. Grady Rylander, A. Abaye, A. Khotanzad, David X. Wang, Bradley Lega, Ronald A. Schachar and Barbara Pierścionek. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Hippocampus and British Journal of Ophthalmology.

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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