Sundeep Rangan

23.1k citations
205 papers · 14.4k indexed · 9 hit papers · h-index 42

Sundeep Rangan

190 papers receiving 14.0k citations

Hit Papers

An Overview of Signal Processing Techniques for Millimete...20112026201620212016201420142020201250010001.5k

Peers

Sundeep Rangan
Comparison fields: 5 of 115
  • Electrical and Electronic Engineering 11.4k
  • Computer Networks and Communications 3.6k
  • Aerospace Engineering 3.1k
  • Computational Mechanics 1.8k
  • Signal Processing 1.1k
Replace Philip Schniter with:
Philip Schniter United States
Zhi‐Quan Luo United States
Andreas F. Molisch United States
Athina P. Petropulu United States
Geert Leus Netherlands
Xiqi Gao China
Rick S. Blum United States
Linglong Dai China
Byonghyo Shim South Korea
Babak Hassibi United States
Sundeep Rangan relative to Philip Schniter United States Philip Schniter's profile →
Citations per field
00.5×3.3×
Philip Schniter · 1×
Citations per year

Countries citing papers authored by Sundeep Rangan

Since Specialization
Citations

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

Fields of papers citing papers by Sundeep Rangan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundeep Rangan

This figure shows the co-authorship network connecting the top 25 collaborators of Sundeep Rangan. A scholar is included among the top collaborators of Sundeep Rangan 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 Sundeep Rangan. Sundeep Rangan 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 51
2 1
3 10
4 3
5 27
6 1
7 0
8 12
9 58
10 21
11 297
12 55
13 227
14 37
15 53
16
A Framework for Cross-Layer Evaluation of 5G mmWave Cellular Networks in ns-3
2
17 68
18
Sampling of Sparse Channels with Common Support
4
19
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
33
20
Multimodel adaptive H∞ control
1

About Sundeep Rangan

Sundeep Rangan is a scholar working on Signal Processing, Computational Mechanics and Acoustics and Ultrasonics, having authored 205 papers that have together received 14.4k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (84 papers), Millimeter-Wave Propagation and Modeling (73 papers) and Sparse and Compressive Sensing Techniques (42 papers). The work is most often cited by research in Electrical and Electronic Engineering (11.4k citations), Computer Networks and Communications (3.6k citations) and Aerospace Engineering (3.1k citations). Sundeep Rangan has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Theodore S. Rappaport, Elza Erkip, Marco Mezzavilla, Robert W. Heath, Alyson K. Fletcher, Michele Zorzi, Nuria González‐Prelcic, Wonil Roh, A.M. Sayeed and Philip Schniter. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Information Theory.

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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