G.D. Cain

47 papers receiving 440 citations

Peers

G.D. Cain
Comparison fields: 5 of 31
  • Signal Processing 343
  • Computational Mechanics 33
  • Applied Mathematics 19
  • Electrical and Electronic Engineering 58
  • Control and Systems Engineering 25
Replace Sze Fong Yau with:
Sze Fong Yau Hong Kong
Pejman Mowlaee Austria
Muhammad Z. Ikram United States
P.K. Rajan United States
Ruey-Wen Liu United States
Per Löwenborg Sweden
Mikael Sørensen Belgium
Jian-Feng Gu China
Dale J. Shpak Canada
E. Bryan George United States
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Citations per field
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Citations per year

Countries citing papers authored by G.D. Cain

Since Specialization
Citations

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

Fields of papers citing papers by G.D. Cain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside G.D. Cain, 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 G.D. Cain Line = papers co-authored together G.D. Cain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992117
2 200246
3 200142
4 200229
5 200219
6 199616
7 198414
8 199114
9 199513
10 200213
11 200212
12 198310
13 199610
14 20029
15 20059
16 19728
17 19776
18 19916
19 20016
20 20026

About G.D. Cain

G.D. Cain is a scholar working on Signal Processing, Computational Mechanics, Computer Networks and Communications, Architecture and Applied Mathematics, having authored 57 papers that have together received 476 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (40 papers), Advanced Adaptive Filtering Techniques (6 papers), Mathematical Analysis and Transform Methods (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), Network Traffic and Congestion Control (3 papers), Radar Systems and Signal Processing (3 papers), Advanced Electrical Measurement Techniques (3 papers) and Engineering Education and Curriculum Development (2 papers). The work is most often cited by research in Signal Processing (343 citations), Computational Mechanics (33 citations), Applied Mathematics (19 citations), Electrical and Electronic Engineering (58 citations) and Control and Systems Engineering (25 citations). G.D. Cain has collaborated with scholars based in United Kingdom, Poland and Australia. Frequent co-authors include İzzet Kale, Andrzej Tarczynski, Ewa Hermanowicz, Richard C. S. Morling, T.I. Laakso, Tullio Salmon Cinotti, Giovanni Neri, Giovanni Neri, T. Saramäki and Vesa Välimäki. Their work appears in journals such as Electronics Letters, IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement, IEEE Journal on Selected Areas in Communications and IEEE Signal Processing Magazine.

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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