K.M. Chugg

2.4k citations
112 papers · 1.6k · h-index 23

Impact in

Papers in

K.M. Chugg

101 papers receiving 1.5k citations

Peers

K.M. Chugg
Comparison fields: 5 of 36
  • Computer Networks and Communications 1.2k
  • Electrical and Electronic Engineering 1.3k
  • Signal Processing 221
  • Artificial Intelligence 427
  • Aerospace Engineering 190
Replace Carl-Erik Sundberg with:
Carl-Erik Sundberg United States
Stephen G. Wilson United States
J. Lodge Canada
T.M. Schmidl United States
Catherine Douillard France
Branislav M. Popović Sweden
Stefan A. Fechtel Germany
A.N. D’Andrea Italy
Y. Be'ery Israel
Babak Daneshrad United States
K.M. Chugg relative to Carl-Erik Sundberg United States Carl-Erik Sundberg's profile →
Citations per field
00.5×1.5×2.3×
Carl-Erik Sundberg · 1×
Citations per year

Countries citing papers authored by K.M. Chugg

Since Specialization
Citations

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

Fields of papers citing papers by K.M. Chugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.M. Chugg. 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 K.M. Chugg. The network helps show where K.M. Chugg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199683
2 200080
3 200177
4 200074
5 200174
6 200559
7 200355
8 200252
9 200552
10 200348
11 201044
12 199640
13 200830
14 200229
15 199929
16 200628
17 200228
18 200728
19 200326
20 199626

About K.M. Chugg

K.M. Chugg is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Computational Mechanics, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (67 papers), Error Correcting Code Techniques (46 papers), Wireless Communication Networks Research (35 papers), Cooperative Communication and Network Coding (20 papers), Blind Source Separation Techniques (15 papers), Coding theory and cryptography (13 papers), Algorithms and Data Compression (11 papers) and Advanced Adaptive Filtering Techniques (8 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Electrical and Electronic Engineering (1.3k citations), Signal Processing (221 citations), Artificial Intelligence (427 citations) and Aerospace Engineering (190 citations). K.M. Chugg has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Achilleas Anastasopoulos, Thomas R. Halford, A. Polydoros, Xiaopeng Chen, Mark A. Neifeld, Xiaopeng Chen, Hsiao-feng Lu, Yuan-Kai Wang, P. Vijay Kumar and Jun Heo. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Communications 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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