Deepak Garg

2.9k total citations · 1 hit paper
166 papers, 1.5k citations indexed

About

Deepak Garg is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Deepak Garg has authored 166 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 38 papers in Computer Networks and Communications and 35 papers in Information Systems. Recurrent topics in Deepak Garg's work include Data Mining Algorithms and Applications (10 papers), Algorithms and Data Compression (10 papers) and UAV Applications and Optimization (10 papers). Deepak Garg is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Algorithms and Data Compression (10 papers) and UAV Applications and Optimization (10 papers). Deepak Garg collaborates with scholars based in India, Saudi Arabia and United States. Deepak Garg's co-authors include Vipul Kumar Mishra, Pratik Narang, Balmukund Mishra, Ishan Budhiraja, Prakhar Consul, Anika Gupta, Frédéric Andrès, Neeraj Kumar, Gaurav Singal and Kamala Krithivasan and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Deepak Garg

150 papers receiving 1.4k citations

Hit Papers

Drone-surveillance for search and rescue in natural disaster 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. Drone-surveillance for search and rescue in natural disaster
    2020 253 citations Deepak Garg et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Garg India 19 396 392 368 292 272 166 1.5k
Chung‐Nan Lee Taiwan 18 249 0.6× 537 1.4× 349 0.9× 192 0.7× 378 1.4× 100 1.5k
Zhigao Zheng China 18 414 1.0× 277 0.7× 382 1.0× 231 0.8× 206 0.8× 40 1.3k
Xiaohong Su China 18 212 0.5× 367 0.9× 163 0.4× 222 0.8× 138 0.5× 117 1.4k
Muhammad Asim Saudi Arabia 20 489 1.2× 569 1.5× 321 0.9× 174 0.6× 216 0.8× 97 1.4k
Mznah Al‐Rodhaan Saudi Arabia 26 773 2.0× 492 1.3× 771 2.1× 446 1.5× 144 0.5× 80 2.2k
Liang Hong China 19 537 1.4× 248 0.6× 221 0.6× 148 0.5× 176 0.6× 132 1.3k
Luiza de Macedo Mourelle Brazil 20 674 1.7× 240 0.6× 313 0.9× 253 0.9× 68 0.3× 179 1.4k
Shaowen Yao China 19 443 1.1× 642 1.6× 222 0.6× 78 0.3× 197 0.7× 151 1.8k
Kashif Nisar Malaysia 26 504 1.3× 189 0.5× 888 2.4× 601 2.1× 137 0.5× 133 2.1k

Countries citing papers authored by Deepak Garg

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Garg. A scholar is included among the top collaborators of Deepak Garg 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 Deepak Garg. Deepak Garg 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
1.
Singh, Prabhishek, et al.. (2025). A Review of Deep Learning-based Multi-modal Medical Image Fusion. 18(1). 2 indexed citations
2.
3.
Singh, Prabhishek, et al.. (2025). An Efficient Gaussian Noise Denoising in CT Images with Deep Convolutional Neural Networks. Biomedical & Pharmacology Journal. 18(December Spl Edition). 139–159. 2 indexed citations
4.
Budhiraja, Ishan, et al.. (2025). Multiagent deep reinforcement learning based Energy efficient resource management scheme for RIS assisted D2D users in 6G-aided smart cities environment. Alexandria Engineering Journal. 116. 609–620. 1 indexed citations
5.
Diwakar, Manoj, et al.. (2024). Inertial sensor aided motion blur kernel estimation for cooled IR detector. Optics and Lasers in Engineering. 175. 108014–108014. 2 indexed citations
6.
Jadav, Nilesh Kumar, et al.. (2024). A comprehensive survey on social engineering attacks, countermeasures, case study, and research challenges. Information Processing & Management. 62(1). 103928–103928. 2 indexed citations
7.
Consul, Prakhar, Ishan Budhiraja, Deepak Garg, et al.. (2024). SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks. Vehicular Communications. 48. 100790–100790. 6 indexed citations
8.
Kumari, Aparna, Riya Kakkar, Sudeep Tanwar, et al.. (2024). Multi-agent-based decentralized residential energy management using Deep Reinforcement Learning. Journal of Building Engineering. 87. 109031–109031. 26 indexed citations
9.
Garg, Deepak, et al.. (2024). Role and Impact of Method Noise on CT Image Denoising. 17(1).
10.
Gupta, Suneet Kumar, M. Suresh, Luca Saba, et al.. (2024). Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review. Artificial Intelligence Review. 57(9). 17 indexed citations
11.
Budhiraja, Ishan, et al.. (2024). Quantum Federated Reinforcement-Learning-Based Joint Mode Selection and Resource Allocation for STAR-RIS-Aided VRCS. IEEE Internet of Things Journal. 11(22). 36242–36256. 6 indexed citations
12.
Gupta, Rajesh, et al.. (2024). SmartGuardML: ML-based MQTT Data Analysis Approach for Threat Prediction in Smart Homes. 76–81. 2 indexed citations
13.
Diwakar, Manoj, Prabhishek Singh, & Deepak Garg. (2024). Edge-guided filtering based CT image denoising using fractional order total variation. Biomedical Signal Processing and Control. 92. 106072–106072. 22 indexed citations
14.
Budhiraja, Ishan, Neeraj Kumar, Deepak Garg, Mohsen Guizani, & Georges Kaddoum. (2024). Joint Traffic Admission, Resource Allocation and Mode Selection Protocol for NOMA-Based D2D Users Underlaying Cellular Network for 5G and Beyond Networks. IEEE Transactions on Network Science and Engineering. 11(5). 4371–4383. 2 indexed citations
15.
Gairola, Ajay, et al.. (2024). Multi-feature Fusion Deep Network for Skin Disease Diagnosis. Multimedia Tools and Applications. 84(1). 419–444. 18 indexed citations
16.
Singh, Samayveer, Deepak Garg, Manju Manju, & Arun Malik. (2023). A novel cluster head selection algorithm based IoT enabled heterogeneous WSNs distributed architecture for smart city. Microprocessors and Microsystems. 101. 104892–104892. 20 indexed citations
17.
Garg, Deepak, et al.. (2022). An efficient 110 × 8 GHz WDM RoF system design for 5G and advance wireless networks. Optical and Quantum Electronics. 54(6). 4 indexed citations
18.
Jadeja, Rajendrasinh, et al.. (2022). On the Design of Student Assessment Model Based on Intelligence Quotient Using Machine Learning. IEEE Access. 10. 48733–48746. 6 indexed citations
19.
Garg, Deepak, et al.. (2022). Analysis and counter-measure of the FWM-induced crosstalk including contemporary optical fibers. Optical and Quantum Electronics. 54(12). 1 indexed citations
20.
Garg, Deepak, et al.. (2014). An Improved RSA Variant. 2014(2). 161–169. 2 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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