Niranjay Ravindran

1.4k citations
17 papers · 931 · 1 hit paper · h-index 9

Impact in

Papers in

Niranjay Ravindran

16 papers receiving 909 citations

Niranjay Ravindran's Hit Papers

Multiuser MIMO achievable rates with downlink training and channel state feedback 2010 · 393 citations
3930+5+10Years since publication100200300

Peers

Niranjay Ravindran
Comparison fields: 5 of 35
  • Computational Mathematics 155
  • Computer Networks and Communications 582
  • Hardware and Architecture 111
  • Electrical and Electronic Engineering 740
  • Artificial Intelligence 92
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Countries citing papers authored by Niranjay Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by Niranjay Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Niranjay Ravindran, 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 Niranjay Ravindran Line = papers co-authored together Niranjay Ravindran links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Multiuser MIMO achievable rates with downlink training and channel state feedback
Hit paper breakdown →
2010393
2 2008179
3 2015151
4 200748
5 201237
6 200731
7 200829
8 201425
9 200712
10 20216
11 20075
12 20075
13 20104
14 20213
15 20062
16 20251
17 20070

About Niranjay Ravindran

Niranjay Ravindran is a scholar working on Computer Networks and Communications, Computational Mathematics, Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design and Geochemistry and Petrology, having authored 17 papers that have together received 931 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (9 papers), Advanced MIMO Systems Optimization (8 papers), Advanced Wireless Network Optimization (5 papers), Wireless Networks and Protocols (3 papers), Energy Harvesting in Wireless Networks (3 papers), Mobile Ad Hoc Networks (3 papers), Advanced Data Storage Technologies (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (155 citations), Computer Networks and Communications (582 citations), Hardware and Architecture (111 citations), Electrical and Electronic Engineering (740 citations) and Artificial Intelligence (92 citations). Niranjay Ravindran has collaborated with scholars based in United States, France and India. Frequent co-authors include Nihar Jindal, Mari Kobayashi, Giuseppe Caire, George Karypis, Nicholas D. Sidiropoulos, Shaden Smith, Howard Huang, Yuwei Qin, Peng Wu and Rick Galbraith. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, Lecture notes in computer science and IETE Journal of Research.

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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