Manisha J. Nene
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Sudipto RoyGaurav UpadhyayNazmul HasanL.M. PatnaikSuthikshn KumarSatya Prakash YadavK. Naveen KumarSuresh Kumar Sharma
- Topics
- Energy Efficient Wireless Sensor Networks (25 papers)Quantum Computing Algorithms and Architecture (13 papers)Quantum Information and Cryptography (13 papers)
In The Last Decade
Manisha J. Nene
92 papers receiving 557 citations
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 307
- Artificial Intelligence 150
- Information Systems 136
- Electrical and Electronic Engineering 81
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Manisha J. Nene
This map shows the geographic impact of Manisha J. Nene'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 Manisha J. Nene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha J. Nene more than expected).
Fields of papers citing papers by Manisha J. Nene
This network shows the impact of papers produced by Manisha J. Nene. 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 Manisha J. Nene. The network helps show where Manisha J. Nene may publish in the future.
Co-authorship network of co-authors of Manisha J. Nene
This figure shows the co-authorship network connecting the top 25 collaborators of Manisha J. Nene. A scholar is included among the top collaborators of Manisha J. Nene 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 Manisha J. Nene. Manisha J. Nene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 19 | |
| 19 | 3 | |
| 20 | 9 |
About Manisha J. Nene
Manisha J. Nene is a scholar working on Computer Networks and Communications, Artificial Intelligence and Media Technology, having authored 105 papers that have together received 588 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (25 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Information and Cryptography (13 papers). The work is most often cited by research in Computer Networks and Communications (307 citations), Information Systems (136 citations) and Artificial Intelligence (150 citations). Manisha J. Nene has collaborated with scholars based in India and Brazil. Frequent co-authors include Sudipto Roy, Gaurav Upadhyay, Nazmul Hasan, L.M. Patnaik, Suthikshn Kumar, Satya Prakash Yadav, K. Naveen Kumar, Suresh Kumar Sharma, Abhimanyu K. Singh and Avinash Kumar Ágarwal. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Sensors Journal and Computer 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.