Neetesh Kumar

1.6k total citations · 1 hit paper
58 papers, 1.0k citations indexed

About

Neetesh Kumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Building and Construction. According to data from OpenAlex, Neetesh Kumar has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 19 papers in Electrical and Electronic Engineering and 15 papers in Building and Construction. Recurrent topics in Neetesh Kumar's work include IoT and Edge/Fog Computing (14 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (14 papers). Neetesh Kumar is often cited by papers focused on IoT and Edge/Fog Computing (14 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (14 papers). Neetesh Kumar collaborates with scholars based in India, United Kingdom and Taiwan. Neetesh Kumar's co-authors include Deo Prakash Vidyarthi, Rashmi Chaudhry, Shashikala Tapaswi, Neeraj Kumar, Vaibhav Garg, Navjot Singh, Hui He, Rupak Kharel, Asif Ali Laghari and Deo Prakash Vidyarthi and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Vehicular Technology.

In The Last Decade

Neetesh Kumar

50 papers receiving 990 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.

Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions

2024 55 citations Neetesh Kumar et al. Vehicular Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neetesh Kumar India	18	426	276	221	211	175	58	1.0k
Wanneng Shu China	15	357 0.8×	176 0.6×	118 0.5×	126 0.6×	162 0.9×	52	831
Guoming Tang China	20	656 1.5×	442 1.6×	102 0.5×	92 0.4×	206 1.2×	84	1.1k
Robson E. De Grande Canada	16	590 1.4×	448 1.6×	111 0.5×	81 0.4×	156 0.9×	94	885
Rongbo Zhu China	21	658 1.5×	441 1.6×	112 0.5×	101 0.5×	310 1.8×	101	1.3k
Khalid Elgazzar Canada	20	736 1.7×	224 0.8×	145 0.7×	124 0.6×	369 2.1×	120	1.5k
Kyungtae Han United States	20	207 0.5×	311 1.1×	176 0.8×	417 2.0×	136 0.8×	76	1.4k
Weigang Wu China	17	946 2.2×	410 1.5×	81 0.4×	137 0.6×	387 2.2×	121	1.5k
Ilja Radusch Germany	18	257 0.6×	570 2.1×	152 0.7×	238 1.1×	72 0.4×	102	973
Rodolfo I. Meneguette Brazil	22	758 1.8×	805 2.9×	254 1.1×	167 0.8×	193 1.1×	130	1.4k

Countries citing papers authored by Neetesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Neetesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neetesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Neetesh Kumar. A scholar is included among the top collaborators of Neetesh Kumar 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 Neetesh Kumar. Neetesh Kumar 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

Kumar, Neetesh, et al.. (2025). A Novel Option Policy driven Hierarchical Deep Reinforcement Learning for Autonomous Vehicle Overtaking Maneuver. IEEE Transactions on Vehicular Technology. 1–13.

Kumar, Neetesh, et al.. (2025). Dynamic Option Policy Enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver. IEEE Transactions on Intelligent Transportation Systems. 26(4). 5018–5029.

Kumar, Neetesh, et al.. (2025). A Polynomial Commitment-Driven Zero-Knowledge Proof-Based Authentication of Autonomous Vehicles in Multi-RSU Broadcast Domains. IEEE Transactions on Consumer Electronics. 71(3). 9145–9156.

Kumar, Neetesh, et al.. (2024). Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction. Engineering Applications of Artificial Intelligence. 136. 108791–108791. 18 indexed citations

Jindal, Rajni, et al.. (2024). A secure and energy-efficient edge computing improved SZ 2.1 hybrid algorithm for handling iot data stream. Multimedia Tools and Applications. 83(36). 83629–83660. 3 indexed citations

Kumar, Neetesh, et al.. (2024). Novel Confined Attention-Enabled Hierarchical Bi-LSTM and Bi-GRU Fusion: A Multiscale Traffic Flow Prediction Application. IEEE Transactions on Computational Social Systems. 11(6). 7541–7554. 5 indexed citations

Kumar, Neetesh, et al.. (2024). Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions. Vehicular Communications. 46. 100733–100733. 55 indexed citations breakdown →

Singh, Navjot, et al.. (2023). Improved YOLOv5l for vehicle detection: an application to estimating traffic density and identifying over speeding vehicles on highway scenes. Multimedia Tools and Applications. 83(2). 5277–5307. 5 indexed citations

Sagar, Anil Kumar, et al.. (2023). Artificial Intelligence in Cyber-Physical Systems. 1 indexed citations

10.

Kumar, Neetesh, et al.. (2023). Congestion Minimization using Fog-deployed DRL-Agent Feedback enabled Traffic Light Cooperative Framework. 557–567. 4 indexed citations

11.

Kumar, Neetesh, et al.. (2022). Adaptive neuro-fuzzy enabled multi-mode traffic light control system for urban transport network. Applied Intelligence. 53(6). 7132–7153. 21 indexed citations

12.

Godfrey, W. Wilfred, et al.. (2022). Fault-tolerance Aware Green Computing Scheme in Software-Defined Vehicular Social Network. 16. 1–6. 1 indexed citations

13.

Godfrey, W. Wilfred, et al.. (2021). A Green Computing-based Algorithm in Software Defined Network with Enhanced Performance. 137. 953–958. 2 indexed citations

14.

Kumar, Neetesh, et al.. (2020). Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 22(8). 4919–4928. 142 indexed citations

15.

Kumar, Neetesh, et al.. (2019). Emergency Signal Classification for the Hearing Impaired using Multi-channel Convolutional Neural Network Architecture. 1–6. 12 indexed citations

16.

Kumar, Neetesh, et al.. (2019). Internet of Vehicles for Traffic Management. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 12230–12232. 3 indexed citations

17.

Tapaswi, Shashikala, et al.. (2019). Decentralised and Distributed System for Organ/Tissue Donation and Transplantation. 1–6. 18 indexed citations

18.

Chaudhry, Rashmi, Shashikala Tapaswi, & Neetesh Kumar. (2018). Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET. Applied Intelligence. 48(9). 3053–3080. 23 indexed citations

19.

Kumar, Neetesh & Deo Prakash Vidyarthi. (2018). A Green Routing Algorithm for IoT-Enabled Software Defined Wireless Sensor Network. IEEE Sensors Journal. 18(22). 9449–9460. 87 indexed citations

20.

Kumar, Neetesh & Deo Prakash Vidyarthi. (2014). Improved scheduler for multi-core many-core systems. Computing. 96(11). 1087–1110. 6 indexed citations

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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