Deepak Garg

170 papers receiving 2.0k citations

Deepak Garg's Hit Papers

A New Alliance of Machine Learning and Quantum Computing: Concepts, Attacks, and Challenges in IoT Networks 2025 · 27 citations
270+2+4Years since publication50100150200250

Peers

Deepak Garg
Comparison fields: 5 of 144
  • Health Informatics 32
  • Computer Vision and Pattern Recognition 468
  • Computer Networks and Communications 447
  • Artificial Intelligence 495
  • Aerospace Engineering 323
Replace Basit Qureshi with:
Basit Qureshi Saudi Arabia
Jie Tang China
Hela Elmannai Saudi Arabia
Zhaoquan Gu China
Abeer D. Algarni Saudi Arabia
Mohammadamin Barekatain United Kingdom
Ali Nauman South Korea
Sunder Ali Khowaja Pakistan
Raed Abu Zitar Jordan
Deepak Garg relative to Basit Qureshi Saudi Arabia Basit Qureshi's profile →
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Drone-surveillance for search and rescue in natural disaster
Hit paper breakdown →
2020298
2 2020102
3
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
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202485
4 202464
5 201952
6 202351
7 202146
8 201740
9 202440
10 200939
11 202438
12 201838
13 202335
14 202233
15 202433
16 202431
17 201430
18 202130
19 201128
20
A New Alliance of Machine Learning and Quantum Computing: Concepts, Attacks, and Challenges in IoT Networks
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202527

About Deepak Garg

Deepak Garg is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 186 papers that have together received 2.1k indexed citations. Recurring topics across this work include UAV Applications and Optimization (11 papers), Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (10 papers), Algorithms and Data Compression (10 papers), Advanced Wireless Communication Technologies (9 papers), Web Data Mining and Analysis (8 papers), Image and Signal Denoising Methods (8 papers) and DNA and Biological Computing (8 papers). The work is most often cited by research in Health Informatics (32 citations), Computer Vision and Pattern Recognition (468 citations), Computer Networks and Communications (447 citations), Artificial Intelligence (495 citations) and Aerospace Engineering (323 citations). Deepak Garg has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Vipul Kumar Mishra, Balmukund Mishra, Pratik Narang, Ishan Budhiraja, Prakhar Consul, Anika Gupta, Neeraj Kumar, Frédéric Andrès, Gaurav Singal and Prabhishek Singh. Their work appears in journals such as Alexandria Engineering Journal, Optical and Quantum Electronics, Computer Communications, IEEE Internet of Things Journal and IEEE Transactions on Consumer Electronics.

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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