Smita Paira
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Sourabh ChandraGoutam SanyalUma BhattacharyaMonish R. ChatterjeeSiddhartha BhattacharyyaTamaghna AcharyaSukwinder Singh
- Topics
- Optical Network Technologies (10 papers)Advanced Optical Network Technologies (10 papers)Advanced Photonic Communication Systems (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- India
In The Last Decade
Smita Paira
15 papers receiving 260 citations
Peers
Comparison fields: 5 of 23
- Electrical and Electronic Engineering 114
- Artificial Intelligence 99
- Computer Networks and Communications 87
- Computer Vision and Pattern Recognition 83
- Information Systems 64
Countries citing papers authored by Smita Paira
This map shows the geographic impact of Smita Paira'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 Smita Paira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smita Paira more than expected).
Fields of papers citing papers by Smita Paira
This network shows the impact of papers produced by Smita Paira. 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 Smita Paira. The network helps show where Smita Paira may publish in the future.
Co-authorship network of co-authors of Smita Paira
This figure shows the co-authorship network connecting the top 25 collaborators of Smita Paira. A scholar is included among the top collaborators of Smita Paira 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 Smita Paira. Smita Paira 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 | 5 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 36 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 121 | |
| 14 | Bi Linear Search a New Session of Searching | 1 |
| 15 | Max Min Sorting Algorithm A New Sorting Approach | 2 |
| 16 | 31 |
About Smita Paira
Smita Paira is a scholar working on Software, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 16 papers that have together received 278 indexed citations. Recurring topics across this work include Optical Network Technologies (10 papers), Advanced Optical Network Technologies (10 papers) and Advanced Photonic Communication Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Computer Networks and Communications (87 citations) and Artificial Intelligence (99 citations). Smita Paira has collaborated with scholars based in India. Frequent co-authors include Sourabh Chandra, Goutam Sanyal, Uma Bhattacharya, Monish R. Chatterjee, Siddhartha Bhattacharyya, Tamaghna Acharya and Sukwinder Singh. Their work appears in journals such as IEEE Access, IEEE Communications Letters and Optical Fiber Technology.
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.