Sharad Sharma
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Mohit KumarSarbjeet SinghAnubhav GoelSantar Pal SinghArun KumarNitin GoyalAman SinghXiaochun Cheng
- Topics
- IoT and Edge/Fog Computing (12 papers)Energy Efficient Wireless Sensor Networks (12 papers)Mobile Ad Hoc Networks (10 papers)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Sharad Sharma
70 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Networks and Communications 623
- Information Systems 397
- Electrical and Electronic Engineering 338
- Artificial Intelligence 125
- Biomedical Engineering 86
Countries citing papers authored by Sharad Sharma
This map shows the geographic impact of Sharad 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 Sharad Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharad Sharma more than expected).
Fields of papers citing papers by Sharad Sharma
This network shows the impact of papers produced by Sharad 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 Sharad Sharma. The network helps show where Sharad Sharma may publish in the future.
Co-authorship network of co-authors of Sharad Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Sharad Sharma. A scholar is included among the top collaborators of Sharad 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 Sharad Sharma. Sharad 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 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | Secure and energy-efficient smart building architecture with emerging technology IoTbreakdown → | 194 |
| 13 | 24 | |
| 14 | Feasibility Study of Different Optimization Algorithms with Integrated Cost Function Technique for Routing in IoT Network | 1 |
| 15 | 22 | |
| 16 | 2 | |
| 17 | An epidemiological and pathological study of teat papillomas in caprines. | 1 |
| 18 | Seismic soil-structure interaction of buildings on hill slopes | 10 |
| 19 | 23 | |
| 20 | Data Reconciliation and Gross Error Detection for a Mineral Processing Plant | 1 |
About Sharad Sharma
Sharad Sharma is a scholar working on Computer Networks and Communications, Ceramics and Composites and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Mobile Ad Hoc Networks (10 papers). The work is most often cited by research in Computer Networks and Communications (623 citations), Information Systems (397 citations) and Ceramics and Composites (42 citations). Sharad Sharma has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Mohit Kumar, Sarbjeet Singh, Anubhav Goel, Santar Pal Singh, Arun Kumar, Nitin Goyal, Aman Singh, Xiaochun Cheng, Parminder Singh and Arun Kumar Rana. Their work appears in journals such as Brain Research, Journal of the American Ceramic Society and Pharmaceutical 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.