Sahil Garg

11.0k citations
254 papers · 7.3k indexed · 4 hit papers · h-index 48

Impact in

Papers in

Sahil Garg

233 papers receiving 7.1k citations

Hit Papers

A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network 2022 · 120 citations
120201820262020202350100150200250

Peers

Sahil Garg
Comparison fields: 5 of 148
  • Computer Networks and Communications 3.9k
  • Information Systems 2.3k
  • Artificial Intelligence 2.4k
  • Signal Processing 656
  • Computer Vision and Pattern Recognition 806
Replace Han‐Chieh Chao with:
Han‐Chieh Chao Taiwan
Md Zakirul Alam Bhuiyan United States
Tie Qiu China
Jun Wu China
Danda B. Rawat United States
Jianwei Niu China
Mohammed Aledhari United States
Mohammad Shojafar United Kingdom
Ilsun You South Korea
Mohammed Atiquzzaman United States
Sahil Garg relative to Han‐Chieh Chao Taiwan Han‐Chieh Chao's profile →
Citations per field
00.5×6.8×
Han‐Chieh Chao · 1×
Citations per year

Countries citing papers authored by Sahil Garg

Since Specialization
Citations

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

Fields of papers citing papers by Sahil Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20246
4 20246
5 20237
6 202318
7 202336
8 202312
9 202216
10 202220
11
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Hit paper breakdown →
2022178
12 202161
13 202147
14 202121
15 202141
16 202041
17 202030
18 202055
19 201912
20 2019203

About Sahil Garg

Sahil Garg is a scholar working on Computer Networks and Communications, Information Systems, Health Informatics, Artificial Intelligence and Computational Mathematics, having authored 254 papers that have together received 7.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (67 papers), Blockchain Technology Applications and Security (37 papers), UAV Applications and Optimization (32 papers), Software-Defined Networks and 5G (29 papers), Advanced Wireless Communication Technologies (28 papers), Privacy-Preserving Technologies in Data (26 papers), Network Security and Intrusion Detection (26 papers) and Vehicular Ad Hoc Networks (VANETs) (24 papers). The work is most often cited by research in Computer Networks and Communications (3.9k citations), Information Systems (2.3k citations), Artificial Intelligence (2.4k citations), Signal Processing (656 citations) and Computer Vision and Pattern Recognition (806 citations). Sahil Garg has collaborated with scholars based in Canada, Saudi Arabia and India. Frequent co-authors include Georges Kaddoum, Kuljeet Kaur, Neeraj Kumar, M. Shamim Hossain, Gagangeet Singh Aujla, Joel J. P. C. Rodrigues, Shalini Batra, Mohammad Mehedi Hassan, Mohsen Guizani and Hui Lin. Their work appears in journals such as IEEE Internet of Things Journal, Alexandria Engineering Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions on Intelligent Transportation Systems 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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