Malcolm Egan

871 citations
55 papers · 498 · h-index 10

Impact in

Papers in

Malcolm Egan

48 papers receiving 485 citations

Peers

Malcolm Egan
Comparison fields: 5 of 67
  • Computer Networks and Communications 201
  • Electrical and Electronic Engineering 339
  • Biomedical Engineering 99
  • Signal Processing 21
  • Computational Mathematics 1
Replace Paweł Kułakowski with:
Paweł Kułakowski Poland
Camille Leroux France
Yusha Liu United Kingdom
Henrik Holm United States
Toshihiro Hattori Japan
Nikolaos C. Kapsalis Greece
Xingming Zhou China
Qianqian Wang China
Wence Zhang China
Naveen Goela United States
Malcolm Egan relative to Paweł Kułakowski Poland Paweł Kułakowski's profile →
Citations per field
00.5×3.1×
Paweł Kułakowski · 1×
Citations per year

Countries citing papers authored by Malcolm Egan

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012112
2 2018107
3 201834
4 201727
5 202025
6 201720
7 202314
8 202213
9 202110
10 20229
11 20198
12 20217
13 20207
14 20187
15 20187
16 20216
17 20146
18 20126
19 20215
20 20135

About Malcolm Egan

Malcolm Egan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Molecular Biology and Artificial Intelligence, having authored 55 papers that have together received 498 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (17 papers), Molecular Communication and Nanonetworks (15 papers), Cooperative Communication and Network Coding (14 papers), Gene Regulatory Network Analysis (13 papers), Wireless Body Area Networks (9 papers), Wireless Communication Security Techniques (8 papers), Advanced Wireless Network Optimization (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (201 citations), Electrical and Electronic Engineering (339 citations), Biomedical Engineering (99 citations), Signal Processing (21 citations) and Computational Mathematics (1 citation). Malcolm Egan has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include Trung Q. Duong, C. Trang, Iain B. Collings, Hien Quoc Ngo, Jinhong Yuan, Adeel Razi, Giovanni Geraci, Jean-Marie Gorce, Laurent Clavier and Marco Di Renzo. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on NanoBioscience, IEEE Communications Letters, IEEE Transactions on Molecular Biological and Multi-Scale Communications and IEEE Access.

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.

Explore authors with similar magnitude of impact