Deepak Garg

2.9k citations
166 papers · 1.5k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Deepak Garg

150 papers receiving 1.4k citations

Hit Papers

Drone-surveillance for search and rescue in natural disaster 2020 · 253 citations
253202020262022202450100150200250

Peers

Deepak Garg
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 392
  • Computer Networks and Communications 368
  • Artificial Intelligence 396
  • Aerospace Engineering 272
  • Information Systems 238
Replace Xiaoqiang Ma with:
Xiaoqiang Ma China
Zhigao Zheng China
Liang Hong China
Muhammad Asim Saudi Arabia
Chung‐Nan Lee Taiwan
Lijun Qian United States
Chenquan Gan China
Jian Wan China
Mznah Al‐Rodhaan Saudi Arabia
Deepak Garg relative to Xiaoqiang Ma China Xiaoqiang Ma's profile →
Citations per field
00.5×1.5×2.3×
Xiaoqiang Ma · 1×
Citations per year

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 166 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 →
2020253
2 202091
3 202452
4 201941
5 202140
6 201838
7 201737
8 200932
9 202329
10 202228
11 202426
12 201126
13 202125
14 202123
15 202422
16 201421
17 202320
18 201119
19 202418
20 202417

About Deepak Garg

Deepak Garg is a scholar working on Computer Networks and Communications, Information Systems, Health Informatics, Computer Vision and Pattern Recognition and Signal Processing, having authored 166 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), UAV Applications and Optimization (10 papers), Data Mining Algorithms and Applications (10 papers), Algorithms and Data Compression (10 papers), Advanced Wireless Communication Technologies (8 papers), Web Data Mining and Analysis (8 papers), Rough Sets and Fuzzy Logic (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Computer Networks and Communications (368 citations), Artificial Intelligence (396 citations), Aerospace Engineering (272 citations) and Information Systems (238 citations). Deepak Garg has collaborated with scholars based in India, Saudi Arabia and United States. Frequent 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. Their work appears in journals such as Alexandria Engineering Journal, Optical and Quantum Electronics, IEEE Transactions on Consumer Electronics, Computer Communications and IEEE Internet of Things Journal.

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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