Lalit Kumar Awasthi
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- IoT and Edge/Fog Computing 23
- Mobile Ad Hoc Networks 23
- Opportunistic and Delay-Tolerant Networks 20
- Caching and Content Delivery 19
- Energy Efficient Wireless Sensor Networks 15
- Network Security and Intrusion Detection 14
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Information Systems top 2%
- Cloud Computing and Resource Management 20
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- Vehicular Ad Hoc Networks (VANETs) 15
- Co-authors
- Amrit Lal SangalSatnam KaurGaurav DhimanTeek Parval SharmaIshana AttriSiddhartha ChauhanGeeta SikkaPranjal Kumar
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Expert Systems with Applications (2 papers)
In The Last Decade
Lalit Kumar Awasthi
133 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Networks and Communications 796
- Health Informatics 47
- Artificial Intelligence 779
- Information Systems 394
- Computational Theory and Mathematics 247
Countries citing papers authored by Lalit Kumar Awasthi
This map shows the geographic impact of Lalit Kumar Awasthi'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 Lalit Kumar Awasthi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalit Kumar Awasthi more than expected).
Fields of papers citing papers by Lalit Kumar Awasthi
This network shows the impact of papers produced by Lalit Kumar Awasthi. 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 Lalit Kumar Awasthi. The network helps show where Lalit Kumar Awasthi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lalit Kumar Awasthi, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 31 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 88 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 1 | |
| 17 | 2013 | 1 | |
| 18 | Peer-to-Peer Networks and Computation: Current Trends and Future Perspectives | 2012 | 7 |
| 19 | 2011 | 27 | |
| 20 | P4P: Ensuring Fault-Tolerance for Cycle-Stealing P2P applications. | 2007 | 5 |
About Lalit Kumar Awasthi
Lalit Kumar Awasthi is a scholar working on Computer Networks and Communications, Information Systems and Software, having authored 149 papers that have together received 2.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (23 papers), Mobile Ad Hoc Networks (23 papers), Opportunistic and Delay-Tolerant Networks (20 papers), Cloud Computing and Resource Management (20 papers), Caching and Content Delivery (19 papers), Vehicular Ad Hoc Networks (VANETs) (15 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Network Security and Intrusion Detection (14 papers). The work is most often cited by research in Computer Networks and Communications (796 citations), Health Informatics (47 citations) and Artificial Intelligence (779 citations). Lalit Kumar Awasthi has collaborated with scholars based in India, France and Jordan. Frequent co-authors include Amrit Lal Sangal, Satnam Kaur, Gaurav Dhiman, Teek Parval Sharma, Ishana Attri, Siddhartha Chauhan, Geeta Sikka, Pranjal Kumar, Naveen Chauhan and Priyanka Rathee. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.