Rachit Garg
Impact in
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- IoT and Edge/Fog Computing
- Distributed systems and fault tolerance
- Age of Information Optimization
Papers in
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- Artificial Intelligence in Healthcare 4
- Co-authors
- Arvind W. KiwelekarRahul VazeS. JeevarajAnshul GuptaPraveen JayachandranAbhishek SinghSeep GoelPinku Ranjan
- Journals
- Microsystem Technologies (2 papers)Energy Conversion and Management (1 paper)Scientific Reports (1 paper)International Journal of Information Management Data Insights (1 paper)IEEE Access (1 paper)
- Partner nations
- IndiaThailandSaudi Arabia
In The Last Decade
Rachit Garg
27 papers receiving 151 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 7
- Computer Networks and Communications 38
- Organizational Behavior and Human Resource Management 17
- Information Systems 28
- Artificial Intelligence 34
Countries citing papers authored by Rachit Garg
This map shows the geographic impact of Rachit 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 Rachit Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachit Garg more than expected).
Fields of papers citing papers by Rachit Garg
This network shows the impact of papers produced by Rachit 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 Rachit Garg. The network helps show where Rachit Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachit 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 11 | |
| 20 | 2011 | 4 |
About Rachit Garg
Rachit Garg is a scholar working on Health Informatics, Health Information Management, Computer Networks and Communications, Media Technology and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 165 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), IoT and Edge/Fog Computing (4 papers), Artificial Intelligence in Healthcare (4 papers), Optimization and Search Problems (4 papers), Age of Information Optimization (4 papers), Natural Language Processing Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Health Informatics (7 citations), Computer Networks and Communications (38 citations), Organizational Behavior and Human Resource Management (17 citations), Information Systems (28 citations) and Artificial Intelligence (34 citations). Rachit Garg has collaborated with scholars based in India, Thailand and Saudi Arabia. Frequent co-authors include Arvind W. Kiwelekar, Rahul Vaze, S. Jeevaraj, Anshul Gupta, Praveen Jayachandran, Abhishek Singh, Seep Goel, Pinku Ranjan, Tianqi Tang and Yu Wang. Their work appears in journals such as Microsystem Technologies, Energy Conversion and Management, Scientific Reports, International Journal of Information Management Data Insights and IEEE Access.
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.