Sugumar Murugesan

464 citations
13 papers · 232 · h-index 8

Impact in

Papers in

Sugumar Murugesan

13 papers receiving 226 citations

Peers

Sugumar Murugesan
Comparison fields: 5 of 35
  • Building and Construction 81
  • Electrical and Electronic Engineering 180
  • Computer Networks and Communications 66
  • Control and Systems Engineering 42
  • Management Science and Operations Research 21
Replace Jiangyi Hu with:
Jiangyi Hu China
Arunesh Kumar Singh India
B. Asare-Bediako Netherlands
Hasan Rafiq United Arab Emirates
Shixing Ding China
Xingtang He China
Yaarob Al-Nidawi Iraq
M. N. Akter Australia
Benjamin Hiller Germany
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Sugumar Murugesan relative to Jiangyi Hu China Jiangyi Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sugumar Murugesan

Since Specialization
Citations

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

Fields of papers citing papers by Sugumar Murugesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Sugumar Murugesan, 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 Sugumar Murugesan Line = papers co-authored together Sugumar Murugesan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202195
2 201330
3 201120
4 201218
5 200717
6 201514
7 201013
8 201211
9 20105
10 20115
11 20122
12
Opportunistic Scheduling Using Channel Memory in Markov-modeled Wireless Networks
20101
13 20081

About Sugumar Murugesan

Sugumar Murugesan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment and Building and Construction, having authored 13 papers that have together received 232 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (9 papers), Advanced MIMO Systems Optimization (8 papers), Smart Grid Energy Management (4 papers), Electric Power System Optimization (3 papers), Advanced Bandit Algorithms Research (3 papers), Energy, Environment, and Transportation Policies (2 papers), Wireless Communication Networks Research (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Building and Construction (81 citations), Electrical and Electronic Engineering (180 citations), Computer Networks and Communications (66 citations), Control and Systems Engineering (42 citations) and Management Science and Operations Research (21 citations). Sugumar Murugesan has collaborated with scholars based in United States. Frequent co-authors include Junshan Zhang, Ness B. Shroff, Kirk H. Drees, Miao He, Young Moo Lee, Zhanhong Jiang, Michael J. Risbeck, Chenlu Zhang, Jaume Amores and Atilla Eryılmaz. Their work appears in journals such as IEEE Transactions on Information Theory, Energy and Buildings, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Smart Grid and OhioLink ETD Center (Ohio Library and Information Network).

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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