Saurabh Garg
- Computer Networks and Communications top 0.2%
- IoT and Edge/Fog Computing 49
- Distributed and Parallel Computing Systems 21
- Caching and Content Delivery 9
- Software System Performance and Reliability 8
- Information Systems top 0.05%
- Cloud Computing and Resource Management 54
- Blockchain Technology Applications and Security 11
- Hardware and Architecture top 5%
- Developmental Biology top 5%
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- Speech and Audio Processing 8
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- Privacy-Preserving Technologies in Data 8
- Co-authors
- Rajkumar BuyyaSteve VersteegLinlin WuRajiv RanjanRanesh Kumar NahaDimitrios GeorgakopoulosPrem Prakash JayaramanPushpa Agrawal
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Saurabh Garg
184 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Computer Networks and Communications 3.4k
- Information Systems 3.3k
- Information Systems and Management 218
- Hardware and Architecture 165
- Developmental Biology 53
Countries citing papers authored by Saurabh Garg
This map shows the geographic impact of Saurabh 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 Saurabh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Garg more than expected).
Fields of papers citing papers by Saurabh Garg
This network shows the impact of papers produced by Saurabh 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 Saurabh Garg. The network helps show where Saurabh Garg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saurabh Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 24 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 36 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 56 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 123 | |
| 15 | 2019 | 27 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 45 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 81 | |
| 20 | 2017 | 23 |
About Saurabh Garg
Saurabh Garg is a scholar working on Developmental Biology, Computer Networks and Communications and Information Systems, having authored 192 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (54 papers), IoT and Edge/Fog Computing (49 papers), Distributed and Parallel Computing Systems (21 papers), Blockchain Technology Applications and Security (11 papers), Caching and Content Delivery (9 papers), Speech and Audio Processing (8 papers), Software System Performance and Reliability (8 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Computer Networks and Communications (3.4k citations), Information Systems (3.3k citations) and Information Systems and Management (218 citations). Saurabh Garg has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rajkumar Buyya, Steve Versteeg, Linlin Wu, Rajiv Ranjan, Ranesh Kumar Naha, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Pushpa Agrawal, Steven Versteeg and Sudheer Kumar Battula. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.