Trupti Mayee Behera
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Water Science and Technology top 10%
- Biomedical Engineering
- Information Systems top 10%
- Co-authors
- Sushanta Kumar MohapatraUmesh Chandra SamalMohammad S. KhanAmir H. GandomiMahmoud DaneshmandPhatiphat ThounthongBhargav AppasaniNicu Bizon
- Topics
- Energy Efficient Wireless Sensor Networks (11 papers)Energy Harvesting in Wireless Networks (7 papers)IoT and Edge/Fog Computing (4 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringWater Science and Technology
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Trupti Mayee Behera
14 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 738
- Electrical and Electronic Engineering 485
- Water Science and Technology 90
- Biomedical Engineering 76
- Information Systems 47
Countries citing papers authored by Trupti Mayee Behera
This map shows the geographic impact of Trupti Mayee Behera'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 Trupti Mayee Behera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trupti Mayee Behera more than expected).
Fields of papers citing papers by Trupti Mayee Behera
This network shows the impact of papers produced by Trupti Mayee Behera. 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 Trupti Mayee Behera. The network helps show where Trupti Mayee Behera may publish in the future.
Co-authorship network of co-authors of Trupti Mayee Behera
This figure shows the co-authorship network connecting the top 25 collaborators of Trupti Mayee Behera. A scholar is included among the top collaborators of Trupti Mayee Behera 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 Trupti Mayee Behera. Trupti Mayee Behera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 67 | |
| 5 | 15 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | Residual Energy-Based Cluster-Head Selection in WSNs for IoT Applicationbreakdown → | 343 |
| 9 | 41 | |
| 10 | 159 | |
| 11 | 6 | |
| 12 | 149 | |
| 13 | 4 | |
| 14 | 6 |
About Trupti Mayee Behera
Trupti Mayee Behera is a scholar working on Computer Networks and Communications, Water Science and Technology and Electrical and Electronic Engineering, having authored 14 papers that have together received 817 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (11 papers), Energy Harvesting in Wireless Networks (7 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Computer Networks and Communications (738 citations), Electrical and Electronic Engineering (485 citations) and Water Science and Technology (90 citations). Trupti Mayee Behera has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sushanta Kumar Mohapatra, Umesh Chandra Samal, Mohammad S. Khan, Amir H. Gandomi, Mahmoud Daneshmand, Phatiphat Thounthong, Bhargav Appasani, Nicu Bizon, Sarita Nanda and Bibhuti Bhusan Dash. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Sensors Journal and Electronics.
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.