Teek Parval Sharma
- Plant Science top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Analytical Chemistry top 10%
- Co-authors
- Lalit Kumar AwasthiIshana AttriPriyanka RatheeSudeep TanwarRicha SharmaSidra MehtabIgnacio VelásquezK. Munivara Prasad
- Topics
- Wireless Networks and Protocols (7 papers)IPv6, Mobility, Handover, Networks, Security (6 papers)Energy Efficient Wireless Sensor Networks (5 papers)
- Partner nations
- IndiaUnited KingdomCameroon
In The Last Decade
Teek Parval Sharma
20 papers receiving 366 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Plant Science 181
- Computer Networks and Communications 117
- Information Systems 65
- Artificial Intelligence 57
- Analytical Chemistry 52
Countries citing papers authored by Teek Parval Sharma
This map shows the geographic impact of Teek Parval 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 Teek Parval Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teek Parval Sharma more than expected).
Fields of papers citing papers by Teek Parval Sharma
This network shows the impact of papers produced by Teek Parval 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 Teek Parval Sharma. The network helps show where Teek Parval Sharma may publish in the future.
Co-authorship network of co-authors of Teek Parval Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Teek Parval Sharma. A scholar is included among the top collaborators of Teek Parval 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 Teek Parval Sharma. Teek Parval 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 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 63 | |
| 6 | A review of deep learning techniques used in agriculturebreakdown → | 177 |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 71 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | A Secure WLAN Authentication Scheme | 7 |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 6 |
About Teek Parval Sharma
Teek Parval Sharma is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 21 papers that have together received 399 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (7 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Analytical Chemistry (52 citations), Computer Networks and Communications (117 citations) and Plant Science (181 citations). Teek Parval Sharma has collaborated with scholars based in India, United Kingdom and Cameroon. Frequent co-authors include Lalit Kumar Awasthi, Ishana Attri, Priyanka Rathee, Sudeep Tanwar, Richa Sharma, Sidra Mehtab, Ignacio Velásquez, K. Munivara Prasad, Jaydip Sen and Altaf O. Mulani. Their work appears in journals such as Crop Protection, Multimedia Tools and Applications and Wireless Networks.
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.