Ravikumar Balakrishnan

2.2k total citations · 1 hit paper
17 papers, 1.6k citations indexed

About

Ravikumar Balakrishnan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ravikumar Balakrishnan has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Ravikumar Balakrishnan's work include Advanced MIMO Systems Optimization (11 papers), Advanced Wireless Network Optimization (8 papers) and Cooperative Communication and Network Coding (5 papers). Ravikumar Balakrishnan is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Advanced Wireless Network Optimization (8 papers) and Cooperative Communication and Network Coding (5 papers). Ravikumar Balakrishnan collaborates with scholars based in United States, India and Türkiye. Ravikumar Balakrishnan's co-authors include Ian F. Akyildiz, Brandon F. Lo, David M. Gutierrez-Estevez, Berk Canberk, Nageen Himayat, Sagar Dhakal, Mustafa Riza Akdeniz, Xue Yang, Rath Vannithamby and Kunal Sankhe and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, Computer Networks and IEEE Transactions on Mobile Computing.

In The Last Decade

Ravikumar Balakrishnan

15 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cooperative spectrum sensing in cognitive radio networks: A survey

2010 1.3k citations Ian F. Akyildiz, Brandon F. Lo et al. Physical Communication profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ravikumar Balakrishnan United States	10	1.5k	991	169	163	127	17	1.6k
Brandon F. Lo United States	8	1.7k 1.2×	1.1k 1.1×	177 1.0×	168 1.0×	126 1.0×	8	1.8k
K. Challapali United States	17	2.2k 1.5×	1.6k 1.6×	189 1.1×	219 1.3×	116 0.9×	34	2.4k
Zhongding Lei Singapore	19	1.4k 0.9×	1.3k 1.4×	116 0.7×	120 0.7×	148 1.2×	82	1.7k
Beibei Wang United States	6	1.1k 0.7×	849 0.9×	89 0.5×	100 0.6×	97 0.8×	9	1.2k
Ghurumuruhan Ganesan India	8	1.9k 1.3×	1.3k 1.4×	145 0.9×	182 1.1×	82 0.6×	28	2.0k
Amir Ghasemi Canada	11	3.0k 2.0×	2.1k 2.1×	287 1.7×	294 1.8×	226 1.8×	38	3.1k
Edward Peh Singapore	14	3.4k 2.3×	2.5k 2.5×	259 1.5×	254 1.6×	211 1.7×	26	3.5k
Abdelmohsen Ali Canada	8	603 0.4×	588 0.6×	105 0.6×	115 0.7×	84 0.7×	18	864
Youping Zhao China	15	671 0.5×	709 0.7×	46 0.3×	71 0.4×	121 1.0×	38	1.0k
Eugene Visotsky United States	18	1.7k 1.1×	2.1k 2.1×	58 0.3×	66 0.4×	341 2.7×	51	2.3k

Countries citing papers authored by Ravikumar Balakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Ravikumar Balakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravikumar Balakrishnan

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

All Works

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17 of 17 papers shown

Galinina, Olga, et al.. (2025). Multi–Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks. IEEE Transactions on Mobile Computing. 24(8). 7012–7027.

Balakrishnan, Ravikumar, et al.. (2024). Improving Online Education in College Settings Through the Integration of Mobile Wireless Communication Networks and Internet of Things (IoT). 138–143.

Balakrishnan, Ravikumar, et al.. (2023). Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World. 919–920. 6 indexed citations

Balakrishnan, Ravikumar, et al.. (2022). Convolutional Neural Network for Speaker Recognition Embedding with Biometric System. 3361. 896–900. 1 indexed citations

Balakrishnan, Ravikumar, et al.. (2022). EdgeML: Towards network-accelerated federated learning over wireless edge. Computer Networks. 219. 109396–109396. 12 indexed citations

Balakrishnan, Ravikumar, et al.. (2021). Resource Management and Model Personalization for Federated Learning over Wireless Edge Networks. Journal of Sensor and Actuator Networks. 10(1). 17–17. 8 indexed citations

Balakrishnan, Ravikumar, et al.. (2020). Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling. 1200–1203. 1 indexed citations

Balakrishnan, Ravikumar, Mustafa Riza Akdeniz, Sagar Dhakal, & Nageen Himayat. (2020). Resource Management and Fairness for Federated Learning over Wireless Edge Networks. 23 indexed citations

Balakrishnan, Ravikumar, et al.. (2019). Deep Reinforcement Learning Based Traffic- and Channel-Aware OFDMA Resource Allocation. 19 indexed citations

10.

Balakrishnan, Ravikumar & Ian F. Akyildiz. (2015). Local Anchor Schemes for Seamless and Low-Cost Handover in Coordinated Small Cells. IEEE Transactions on Mobile Computing. 15(5). 1182–1196. 26 indexed citations

11.

Balakrishnan, Ravikumar & Ian F. Akyildiz. (2013). Local mobility anchoring for seamless handover in coordinated small cells. 4489–4494. 11 indexed citations

12.

Balakrishnan, Ravikumar, Berk Canberk, & Ian F. Akyildiz. (2013). Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 6464–6468. 3 indexed citations

13.

Balakrishnan, Ravikumar & Berk Canberk. (2013). Traffic-Aware QoS Provisioning and Admission Control in OFDMA Hybrid Small Cells. IEEE Transactions on Vehicular Technology. 63(2). 802–810. 39 indexed citations

14.

Akyildiz, Ian F., et al.. (2013). Enabling next generation small cells through femtorelays. Physical Communication. 9. 1–15. 22 indexed citations

15.

Akyildiz, Ian F., et al.. (2013). LTE-Advanced and the evolution to Beyond 4G (B4G) systems. Physical Communication. 10. 31–60. 95 indexed citations

16.

Balakrishnan, Ravikumar, et al.. (2011). Mobile relay and group mobility for 4G WiMAX networks. 1224–1229. 25 indexed citations

17.

Akyildiz, Ian F., Brandon F. Lo, & Ravikumar Balakrishnan. (2010). Cooperative spectrum sensing in cognitive radio networks: A survey. Physical Communication. 4(1). 40–62. 1309 indexed citations breakdown →

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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