K.M. Chugg

2.4k citations
111 papers · 1.6k indexed · h-index 23

K.M. Chugg

99 papers receiving 1.5k citations

Peers

K.M. Chugg
Comparison fields: 5 of 34
  • Computer Networks and Communications 1.2k
  • Electrical and Electronic Engineering 1.3k
  • Signal Processing 219
  • Artificial Intelligence 421
  • Aerospace Engineering 190
Replace Carl-Erik Sundberg with:
Carl-Erik Sundberg United States
J. Lodge Canada
Stephen G. Wilson United States
T.M. Schmidl United States
Catherine Douillard France
Branislav M. Popović Sweden
Stefan A. Fechtel Germany
M. Mondin Italy
A.N. D’Andrea Italy
Y. Be'ery Israel
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-authorship network

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
#Work
1 20241
2 20220
3 20134
4 20101
5 20076
6 20066
7 200612
8
Performance Evaluation of Message-Passing-Based Algorithms for Fast Acquisition of Spreading Codes with Application to Satellite Positioning
20062
9 200552
10 20031
11 200348
12 20021
13 200228
14 20015
15 20012
16 200177
17 20001
18 200074
19
AN O(lOg2 N)-LATENCY SISO WITH APPLICATION TO BROADBAND TURBO DECODING
20000
20 200080

About K.M. Chugg

K.M. Chugg is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 111 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) and Signal Processing (219 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, P. Vijay Kumar, Yuan-Kai Wang, Hsiao-feng Lu 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 Journal of Biomedical Optics.

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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