D. Cochran

1.0k citations
51 papers · 708 · h-index 13

Impact in

Papers in

D. Cochran

47 papers receiving 676 citations

Peers

D. Cochran
Comparison fields: 5 of 73
  • Signal Processing 158
  • Computer Networks and Communications 294
  • Aerospace Engineering 235
  • Artificial Intelligence 214
  • Computational Mechanics 105
Replace I. Vaughan L. Clarkson with:
I. Vaughan L. Clarkson Australia
Peter F. Swaszek United States
A. Dogandzic United States
K. Deergha Rao India
Dietrich Fränken Germany
Minli Yao China
Darryl Morrell United States
Dimitris Tzikas Greece
G.W. Pulford Australia
Mourad Barkat Algeria
D. Cochran relative to I. Vaughan L. Clarkson Australia I. Vaughan L. Clarkson's profile →
Citations per field
00.5×1.5×1.8×
I. Vaughan L. Clarkson · 1×
Citations per year

Countries citing papers authored by D. Cochran

Since Specialization
Citations

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

Fields of papers citing papers by D. Cochran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007177
2 2002108
3 199589
4 200948
5 198730
6 200326
7
Waveform Libraries
200924
8 200414
9 199713
10 200213
11 200213
12 200713
13 200212
14 200711
15 200110
16 20029
17 20169
18 20068
19 20027
20 20077

About D. Cochran

D. Cochran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, having authored 51 papers that have together received 708 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (20 papers), Image and Signal Denoising Methods (12 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Radar Systems and Signal Processing (8 papers), Speech and Audio Processing (8 papers), Advanced Data Compression Techniques (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Signal Processing (158 citations), Computer Networks and Communications (294 citations), Aerospace Engineering (235 citations), Artificial Intelligence (214 citations) and Computational Mechanics (105 citations). D. Cochran has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include H. Gish, Keith Kastella, Alfred O. Hero, Howard Caygill, Sofia Suvorova, Bill Moran, James J. Clark, Antonia Papandreou‐Suppappola, Robert Martin and G.W. Pan. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, Advances in Computational Mathematics, IEEE Transactions on Image Processing and Electronics 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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