Sheetal N. Ghorpade

439 total citations
11 papers, 228 citations indexed

About

Sheetal N. Ghorpade is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Sheetal N. Ghorpade has authored 11 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Sheetal N. Ghorpade's work include Energy Efficient Wireless Sensor Networks (5 papers), Indoor and Outdoor Localization Technologies (4 papers) and IoT and Edge/Fog Computing (3 papers). Sheetal N. Ghorpade is often cited by papers focused on Energy Efficient Wireless Sensor Networks (5 papers), Indoor and Outdoor Localization Technologies (4 papers) and IoT and Edge/Fog Computing (3 papers). Sheetal N. Ghorpade collaborates with scholars based in India, Italy and Saudi Arabia. Sheetal N. Ghorpade's co-authors include Marco Zennaro, Bharat S. Chaudhari, S. Abdel‐Khalek, Hesham Alhumyani and Rashid A. Saeed and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Sheetal N. Ghorpade

11 papers receiving 217 citations

Peers

Sheetal N. Ghorpade
Sheetal N. Ghorpade
Citations per year, relative to Sheetal N. Ghorpade Sheetal N. Ghorpade (= 1×) peers Adrien van den Bossche

Countries citing papers authored by Sheetal N. Ghorpade

Since Specialization
Citations

This map shows the geographic impact of Sheetal N. Ghorpade'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 Sheetal N. Ghorpade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheetal N. Ghorpade more than expected).

Fields of papers citing papers by Sheetal N. Ghorpade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheetal N. Ghorpade. 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 Sheetal N. Ghorpade. The network helps show where Sheetal N. Ghorpade may publish in the future.

Co-authorship network of co-authors of Sheetal N. Ghorpade

This figure shows the co-authorship network connecting the top 25 collaborators of Sheetal N. Ghorpade. A scholar is included among the top collaborators of Sheetal N. Ghorpade 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 Sheetal N. Ghorpade. Sheetal N. Ghorpade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chaudhari, Bharat S., et al.. (2024). Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions. World Electric Vehicle Journal. 15(2). 39–39. 19 indexed citations
2.
Ghorpade, Sheetal N., Marco Zennaro, Bharat S. Chaudhari, et al.. (2021). Enhanced Differential Crossover and Quantum Particle Swarm Optimization for IoT Applications. IEEE Access. 9. 93831–93846. 40 indexed citations
3.
Ghorpade, Sheetal N., Marco Zennaro, Bharat S. Chaudhari, et al.. (2021). A Novel Enhanced Quantum PSO for Optimal Network Configuration in Heterogeneous Industrial IoT. IEEE Access. 9. 134022–134036. 28 indexed citations
4.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2021). Towards green computing: intelligent bio-inspired agent for IoT-enabled wireless sensor networks. International Journal of Sensor Networks. 35(2). 121–121. 14 indexed citations
5.
Chaudhari, Bharat S., Sheetal N. Ghorpade, & Marco Zennaro. (2021). Towards green computing: intelligent bio-inspired agent for IoT-enabled wireless sensor networks. International Journal of Sensor Networks. 35(2). 121–121. 6 indexed citations
6.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2021). Survey of Localization for Internet of Things Nodes: Approaches, Challenges and Open Issues. Future Internet. 13(8). 210–210. 40 indexed citations
7.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2021). Optimal Localization of Internet of Things Nodes. SpringerBriefs in applied sciences and technology. 3 indexed citations
8.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2021). IoT-based hybrid optimized fuzzy threshold ELM model for localization of elderly persons. Expert Systems with Applications. 184. 115500–115500. 14 indexed citations
9.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2020). GWO Model for Optimal Localization of IoT-Enabled Sensor Nodes in Smart Parking Systems. IEEE Transactions on Intelligent Transportation Systems. 22(2). 1217–1224. 47 indexed citations
10.
Ghorpade, Sheetal N., Marco Zennaro, & Bharat S. Chaudhari. (2019). Binary grey wolf optimisation‐based topology control for WSNs. IET Wireless Sensor Systems. 9(6). 333–339. 12 indexed citations
11.
Ghorpade, Sheetal N.. (2016). Airspace configuration model using swarm intelligence based graph partitioning. 1–5. 5 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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