Raghuraman Mudumbai

71 papers receiving 2.5k citations

Hit Papers

On the Feasibility of Distributed Beamforming in Wireless...200720262013201920072009100200300

Peers

Raghuraman Mudumbai
Comparison fields: 5 of 80
  • Electrical and Electronic Engineering 2.1k
  • Computer Networks and Communications 1.5k
  • Aerospace Engineering 518
  • Control and Systems Engineering 145
  • Biomedical Engineering 128
Replace Giovanni Vannucci with:
Giovanni Vannucci United States
Paul P. Sotiriadis Greece
Shilian Zheng China
Yongwei Huang China
Takaya Yamazato Japan
Russell Tessier United States
T.H. Meng United States
Henri Rebecq Switzerland
Shihao Yan Australia
Mathini Sellathurai United Kingdom
Raghuraman Mudumbai relative to Giovanni Vannucci United States Giovanni Vannucci's profile →
Citations per field
00.5×8.1×
Giovanni Vannucci · 1×
Citations per year

Countries citing papers authored by Raghuraman Mudumbai

Since Specialization
Citations

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

Fields of papers citing papers by Raghuraman Mudumbai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghuraman Mudumbai

This figure shows the co-authorship network connecting the top 25 collaborators of Raghuraman Mudumbai. A scholar is included among the top collaborators of Raghuraman Mudumbai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raghuraman Mudumbai. Raghuraman Mudumbai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 114
3 5
4 2
5 37
6 3
7 1
8 80
9 3
10 3
11 26
12
Freshwater Mussels as Biological Sensors and Cyclers of Aquatic Nitrogen Constituents: An Experimental Investigation
1
13
Distributed control for optimal economic dispatch of power generators
10
14 6
15 23
16 7
17 6
18 115
19 25
20 1

About Raghuraman Mudumbai

Raghuraman Mudumbai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (21 papers), Advanced MIMO Systems Optimization (21 papers) and Wireless Networks and Protocols (11 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Electrical and Electronic Engineering (2.1k citations) and Aerospace Engineering (518 citations). Raghuraman Mudumbai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Upamanyu Madhow, G. Barriac, Soura Dasgupta, Donald R. Brown, Sumit Singh, H. Vincent Poor, João P. Hespanha, Muhammad Mahboob Ur Rahman, Sumit Singh and François Quitin. Their work appears in journals such as IEEE Transactions on Information Theory, Automatica and IEEE Transactions on Power Systems.

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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