B. N. Bharath

576 total citations
28 papers, 381 citations indexed

About

B. N. Bharath is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, B. N. Bharath has authored 28 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in B. N. Bharath's work include Cooperative Communication and Network Coding (11 papers), Caching and Content Delivery (10 papers) and Advanced MIMO Systems Optimization (9 papers). B. N. Bharath is often cited by papers focused on Cooperative Communication and Network Coding (11 papers), Caching and Content Delivery (10 papers) and Advanced MIMO Systems Optimization (9 papers). B. N. Bharath collaborates with scholars based in India, United Kingdom and United States. B. N. Bharath's co-authors include H. Vincent Poor, K. G. Nagananda, Vimal Bhatia, Tharmalingam Ratnarajah, Navneet Garg, Chandra R. Murthy, Mathini Sellathurai, Vivek S. Borkar, Denız Gündüz and Rahul Vaze and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

B. N. Bharath

25 papers receiving 375 citations

Peers

Countries citing papers authored by B. N. Bharath

Since Specialization

Citations

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

Fields of papers citing papers by B. N. Bharath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. N. Bharath. 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 B. N. Bharath. The network helps show where B. N. Bharath may publish in the future.

Co-authorship network of co-authors of B. N. Bharath

This figure shows the co-authorship network connecting the top 25 collaborators of B. N. Bharath. A scholar is included among the top collaborators of B. N. Bharath 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 B. N. Bharath. B. N. Bharath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine learning-based 3D-QSAR models for predicting the estrogen receptor-binding activity of small molecules 2025 ·B. N. Bharath, (unknown), Nadeem A. Khan	0
2	Online Learning to Cache and Recommend in the Next Generation Cellular Networks 2024 ·SHILAP Revista de lepidopterología ·(unknown), B. N. Bharath, Vimal Bhatia	2
3	Online Caching with Fetching cost for Arbitrary Demand Pattern: a Drift-Plus-Penalty Approach 2023 ·(unknown), B. N. Bharath	1
4	FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime 2023 ·(unknown), (unknown), B. N. Bharath	0
5	Multi-Task Federated Edge Learning (MTFeeL) With SignSGD 2022 ·(unknown), (unknown), B. N. Bharath	2
6	Wireless Edge Caching and Content Popularity Prediction Using Machine Learning 2022 ·IEEE Consumer Electronics Magazine ·(unknown), B. N. Bharath, Vimal Bhatia, Jamel Nebhen, (unknown), Tharmalingam Ratnarajah	3
7	Learning to Cache: Federated Caching in a Cellular Network With Correlated Demands 2021 ·IEEE Transactions on Communications ·(unknown), B. N. Bharath, Navneet Garg, Vimal Bhatia, Tharmalingam Ratnarajah	12
8	Joint Edge Content Cache Placement and Recommendation: Bayesian Approach 2021 ·(unknown), B. N. Bharath, Vimal Bhatia	5
9	Federated Algorithm with Bayesian Approach: Omni-Fedge 2021 ·(unknown), B. N. Bharath	2
10	Online Content Popularity Prediction and Learning in Wireless Edge Caching 2019 ·IEEE Transactions on Communications ·Navneet Garg, Mathini Sellathurai, Vimal Bhatia, B. N. Bharath, Tharmalingam Ratnarajah	63
11	Caching With Time-Varying Popularity Profiles: A Learning-Theoretic Perspective 2018 ·IEEE Transactions on Communications ·B. N. Bharath, K. G. Nagananda, Denız Gündüz, H. Vincent Poor	38
12	Intellectual Property Management Using Blockchain 2018 ·(unknown), B. N. Bharath, (unknown), (unknown), (unknown)	3
13	Time complexity analysis of distributed stochastic optimization in a non-stationary environment 2017 ·B. N. Bharath, (unknown)	1
14	Robust parameter optimization of hidden Markov models 2013 ·B. N. Bharath, Vivek S. Borkar	0
15	Channel Training Signal Design for Reciprocal Multiple Antenna Systems With Beamforming 2012 ·IEEE Transactions on Vehicular Technology ·B. N. Bharath, Chandra R. Murthy	14
16	On the DMT of TDD-SIMO Systems with Channel-Dependent Reverse Channel Training 2012 ·IEEE Transactions on Communications ·B. N. Bharath, Chandra R. Murthy	2
17	Power Controlled Reverse Channel Training Achieves an Infinite Diversity Order in a TDD-SIMO System with Perfect CSIR 2012 ·IEEE Communications Letters ·B. N. Bharath, Chandra R. Murthy	2
18	Channel estimation at the transmitter in a reciprocal MIMO spatial multiplexing system 2012 ·B. N. Bharath, Chandra R. Murthy	3
19	Design and Fabrication of Dual-Band Coplanar Antenna Using EBG Structures 2012 ·(unknown), B. N. Bharath	1
20	Reverse channel training for reciprocal MIMO systems with spatial multiplexing 2009 ·B. N. Bharath, Chandra R. Murthy	4

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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