Teek Parval Sharma

657 total citations · 1 hit paper
21 papers, 399 citations indexed

About

Teek Parval Sharma is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Teek Parval Sharma has authored 21 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 5 papers in Plant Science. Recurrent topics in Teek Parval Sharma's work include Wireless Networks and Protocols (7 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Teek Parval Sharma is often cited by papers focused on Wireless Networks and Protocols (7 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Teek Parval Sharma collaborates with scholars based in India, United Kingdom and Cameroon. Teek Parval Sharma's co-authors include Lalit Kumar Awasthi, Ishana Attri, Priyanka Rathee, Sudeep Tanwar, Richa Sharma, Ignacio Velásquez, Altaf O. Mulani, Jaydip Sen, L Caro and Pradeep B. Mane and has published in prestigious journals such as Crop Protection, Multimedia Tools and Applications and Wireless Networks.

In The Last Decade

Teek Parval Sharma

20 papers receiving 366 citations

Hit Papers

A review of deep learning... 2023 2026 2024 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of deep learning techniques used in agriculture
    2023 177 citations Ishana Attri, Lalit Kumar Awasthi et al. Ecological Informatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Teek Parval Sharma India 8 181 117 65 57 52 21 399
Wasswa Shafik Iran 12 157 0.9× 126 1.1× 66 1.0× 53 0.9× 59 1.1× 44 438
R. Ramalakshmi India 12 160 0.9× 146 1.2× 49 0.8× 68 1.2× 20 0.4× 53 460
Evans Asenso Ghana 10 247 1.4× 56 0.5× 25 0.4× 66 1.2× 68 1.3× 27 483
Ashish Mishra India 9 138 0.8× 54 0.5× 57 0.9× 39 0.7× 75 1.4× 36 431
Mamatha Balachandra India 8 151 0.8× 94 0.8× 34 0.5× 25 0.4× 41 0.8× 30 309
Poonam Dhiman India 8 249 1.4× 62 0.5× 59 0.9× 65 1.1× 120 2.3× 14 498
Vishnu Kumar Kaliappan India 10 201 1.1× 60 0.5× 30 0.5× 49 0.9× 98 1.9× 51 449
Hamoud Alshammari Saudi Arabia 11 111 0.6× 75 0.6× 48 0.7× 98 1.7× 59 1.1× 27 392
T. Daniya India 10 124 0.7× 59 0.5× 42 0.6× 52 0.9× 67 1.3× 42 340
Koushik Majumder India 10 100 0.6× 299 2.6× 112 1.7× 79 1.4× 21 0.4× 63 566

Countries citing papers authored by Teek Parval Sharma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Attri, Ishana, Lalit Kumar Awasthi, & Teek Parval Sharma. (2024). EQID: Entangled quantum image descriptor an approach for early plant disease detection. Crop Protection. 188. 107005–107005. 7 indexed citations
2.
Attri, Ishana, Lalit Kumar Awasthi, & Teek Parval Sharma. (2024). Cross-Species Plant Disease Detection: Utilizing Neural Style Transfer on Mango and Apple Leaf Images. 1–5. 1 indexed citations
3.
4.
Sharma, Teek Parval, et al.. (2024). Detection of Plant Diseases in Hydroponics Farming Using Deep Learning Techniques. 1–6. 1 indexed citations
5.
Attri, Ishana, Lalit Kumar Awasthi, & Teek Parval Sharma. (2023). Machine learning in agriculture: a review of crop management applications. Multimedia Tools and Applications. 83(5). 12875–12915. 63 indexed citations
6.
Attri, Ishana, Lalit Kumar Awasthi, Teek Parval Sharma, & Priyanka Rathee. (2023). A review of deep learning techniques used in agriculture. Ecological Informatics. 77. 102217–102217. 177 indexed citations breakdown →
7.
Sharma, Richa, et al.. (2022). Trust assessment-based stable and attack resistant grouping strategy for data dissemination in IoV. International Journal of Sensor Networks. 40(3). 160–160. 1 indexed citations
8.
Sen, Jaydip, Sidra Mehtab, K. Munivara Prasad, et al.. (2019). Computer and Network Security. IntechOpen eBooks. 8 indexed citations
9.
Tanwar, Sudeep, et al.. (2019). Utilization of blockchain for mitigating the distributed denial of service attacks. Security and Privacy. 3(3). 71 indexed citations
10.
Sharma, Teek Parval, et al.. (2019). Dynamic load tuning for energy-hole avoidance in corona model for a wireless sensor network. International Journal of Sensor Networks. 30(1). 56–56. 3 indexed citations
11.
Sharma, Teek Parval, et al.. (2019). Dynamic load tuning for energy-hole avoidance in corona model for a wireless sensor network. International Journal of Sensor Networks. 30(1). 56–56. 4 indexed citations
12.
Sharma, Teek Parval, et al.. (2017). Energy-hole avoidance and lifetime enhancement of a WSN through load factor. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25. 1375–1387. 7 indexed citations
13.
Sharma, Teek Parval, et al.. (2016). ZBFR: zone based failure recovery in WSNs by utilizing mobility and coverage overlapping. Wireless Networks. 23(7). 2263–2280. 7 indexed citations
14.
Sharma, Teek Parval, et al.. (2015). A location-based method for restricting the flooding DoS effect in WLANs. Journal of Location Based Services. 9(4). 273–295. 3 indexed citations
15.
Sharma, Teek Parval, et al.. (2014). On the IEEE 802.11i security: a denial‐of‐service perspective. Security and Communication Networks. 8(7). 1378–1407. 13 indexed citations
16.
Sharma, Teek Parval, et al.. (2013). A Secure WLAN Authentication Scheme. IEIE Transactions on Smart Processing and Computing. 2(3). 176–187. 7 indexed citations
17.
Sharma, Teek Parval, et al.. (2013). A sequence number based WLAN authentication scheme for reducing the MIC field overhead. 25. 1–4. 2 indexed citations
18.
Sharma, Teek Parval, et al.. (2013). A Key Hiding Communication Scheme for Enhancing the Wireless LAN Security. Wireless Personal Communications. 77(2). 1145–1165. 7 indexed citations
19.
Sharma, Teek Parval, et al.. (2013). A key refreshing technique to reduce 4-way handshake latency in 802.11i based networks. 2006. 157–162. 2 indexed citations
20.
Sharma, Teek Parval, et al.. (2011). Detecting and reducing the denial of Service attacks in WLANs. 4. 968–973. 6 indexed citations

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.

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