Mallikarjun Shankar

3.5k citations
151 papers · 2.1k indexed · h-index 26

Mallikarjun Shankar

140 papers receiving 2.0k citations

Peers

Mallikarjun Shankar
Comparison fields: 5 of 117
  • Hardware and Architecture 233
  • Computer Networks and Communications 741
  • Aerospace Engineering 797
  • Electrical and Electronic Engineering 969
  • Signal Processing 108
Replace J. Sánchez with:
J. Sánchez Spain
Junfeng Wu China
Prasanna Balaprakash United States
S. Dormido-Canto Spain
Zhi Yang China
Hisashi Kobayashi Japan
Ranjan Bose India
Meisam Razaviyayn United States
Robert Manchek United States
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Citations per field
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J. Sánchez · 1×
Citations per year

Countries citing papers authored by Mallikarjun Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Mallikarjun Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20242
6 20245
7 20242
8 20239
9 202325
10 202264
11 202138
12 202131
13
Online and Offline Deep Learning Strategies For Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO Systems
20199
14 201842
15 201839
16
Real-time Social Media Data Analytics for Situational Awareness of the Electric Grid
20162
17 200819
18 200873
19
Advancing Sensor Web Interoperability
20051
20 200336

About Mallikarjun Shankar

Mallikarjun Shankar is a scholar working on Aerospace Engineering, Computer Networks and Communications and Hardware and Architecture, having authored 151 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (35 papers), Advanced MIMO Systems Optimization (15 papers), Advanced SAR Imaging Techniques (15 papers), Antenna Design and Optimization (14 papers), Indoor and Outdoor Localization Technologies (13 papers), Satellite Communication Systems (13 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers) and Advanced Wireless Communication Techniques (10 papers). The work is most often cited by research in Hardware and Architecture (233 citations), Computer Networks and Communications (741 citations) and Aerospace Engineering (797 citations). Mallikarjun Shankar has collaborated with scholars based in Luxembourg, United States and India. Frequent co-authors include Björn Ottersten, Kumar Vijay Mishra, Symeon Chatzinotas, Linlong Wu, Nageswara S. V. Rao, Mohammad Alaee–Kerahroodi, David K. Y. Yau, James Nutaro, Phani Teja Kuruganti and Miguel Ángel Vázquez. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Signal Processing.

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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