Vasudha Vashisht
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Water Science and Technology
- Artificial Intelligence
- Plant Science
- Topics
- Energy Efficient Wireless Sensor Networks (11 papers)IoT-based Smart Home Systems (8 papers)Security in Wireless Sensor Networks (4 papers)
- Cited by
- Computer Networks and CommunicationsWater Science and TechnologyElectrical and Electronic Engineering
- Journals
- Journal of King Saud University - Computer and Information SciencesInformatics in Medicine UnlockedTelecommunication Systems
- Partner nations
- IndiaUnited Arab Emirates
In The Last Decade
Vasudha Vashisht
24 papers receiving 317 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 186
- Electrical and Electronic Engineering 141
- Water Science and Technology 50
- Artificial Intelligence 48
- Plant Science 27
Countries citing papers authored by Vasudha Vashisht
This map shows the geographic impact of Vasudha Vashisht'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 Vasudha Vashisht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasudha Vashisht more than expected).
Fields of papers citing papers by Vasudha Vashisht
This network shows the impact of papers produced by Vasudha Vashisht. 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 Vasudha Vashisht. The network helps show where Vasudha Vashisht may publish in the future.
Co-authorship network of co-authors of Vasudha Vashisht
This figure shows the co-authorship network connecting the top 25 collaborators of Vasudha Vashisht. A scholar is included among the top collaborators of Vasudha Vashisht 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 Vasudha Vashisht. Vasudha Vashisht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 60 | |
| 4 | 9 | |
| 5 | 20 | |
| 6 | 28 | |
| 7 | A Review on Missing Data Value Estimation Using Imputation Algorithm | 8 |
| 8 | Performance Comparison of Trust Based Clustering Protocols for Wireless Sensor Networks | 1 |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 13 | |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 47 | |
| 19 | Open Loop Travelling Salesman Problem usingGenetic Algorithm | 11 |
| 20 | 1 |
About Vasudha Vashisht
Vasudha Vashisht is a scholar working on Computer Networks and Communications, Statistics and Probability and Management Information Systems, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), IoT-based Smart Home Systems (8 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (186 citations), Water Science and Technology (50 citations) and Electrical and Electronic Engineering (141 citations). Vasudha Vashisht has collaborated with scholars based in India and United Arab Emirates. Frequent co-authors include Richa Sharma, Jayanthi Ranjan, Richa Sharma, Tanupriya Choudhury, Sarthak Gupta, Neeraj Gugnani and Nidhi Arora. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Informatics in Medicine Unlocked and Telecommunication Systems.
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.