Sachin Sharma
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Priya MattaSeshadri MohanKamal Kumar GhanshalaHimanshu Rai GoyalPiyush AgarwalPradeep JunejaRavinder AhujaGulshan Sharma
- Topics
- IoT and Edge/Fog Computing (39 papers)Blockchain Technology Applications and Security (27 papers)Vehicular Ad Hoc Networks (VANETs) (25 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Food Science & Technology
- Partner nations
- IndiaUnited StatesSouth Africa
In The Last Decade
Sachin Sharma
242 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 149
- Computer Networks and Communications 395
- Electrical and Electronic Engineering 395
- Information Systems 350
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 280
Countries citing papers authored by Sachin Sharma
This map shows the geographic impact of Sachin Sharma'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 Sachin Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Sharma more than expected).
Fields of papers citing papers by Sachin Sharma
This network shows the impact of papers produced by Sachin Sharma. 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 Sachin Sharma. The network helps show where Sachin Sharma may publish in the future.
Co-authorship network of co-authors of Sachin Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Sachin Sharma. A scholar is included among the top collaborators of Sachin Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sachin Sharma. Sachin Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 40 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 7 |
About Sachin Sharma
Sachin Sharma is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 284 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (39 papers), Blockchain Technology Applications and Security (27 papers) and Vehicular Ad Hoc Networks (VANETs) (25 papers). The work is most often cited by research in Computer Networks and Communications (395 citations), Information Systems (350 citations) and Computer Vision and Pattern Recognition (280 citations). Sachin Sharma has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include Priya Matta, Seshadri Mohan, Kamal Kumar Ghanshala, Himanshu Rai Goyal, Piyush Agarwal, Pradeep Juneja, Ravinder Ahuja, Gulshan Sharma, Rajesh Maithani and Amar Johri. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Food Science & Technology.
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.