Radhika M. Pai
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Co-authors
- M. M. Manohara PaiUjjwal VermaSucheta V. KolekarVeena MayyaPreetham KumarRajesh Kumar SinhaSulatha V. BhandaryIndrani Karunasagar
- Topics
- Water Quality Monitoring Technologies (11 papers)Video Surveillance and Tracking Methods (10 papers)Advanced Neural Network Applications (10 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Radhika M. Pai
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 326
- Artificial Intelligence 253
- Information Systems 186
- Management Science and Operations Research 139
- Electrical and Electronic Engineering 121
Countries citing papers authored by Radhika M. Pai
This map shows the geographic impact of Radhika M. Pai'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 Radhika M. Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhika M. Pai more than expected).
Fields of papers citing papers by Radhika M. Pai
This network shows the impact of papers produced by Radhika M. Pai. 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 Radhika M. Pai. The network helps show where Radhika M. Pai may publish in the future.
Co-authorship network of co-authors of Radhika M. Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Radhika M. Pai. A scholar is included among the top collaborators of Radhika M. Pai 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 Radhika M. Pai. Radhika M. Pai 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 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 66 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Compound composite odontoma in primary dentition--a case report. | 8 |
| 20 | 24 |
About Radhika M. Pai
Radhika M. Pai is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Media Technology, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (11 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Neural Network Applications (10 papers). The work is most often cited by research in Computer Science Applications (119 citations), Computer Vision and Pattern Recognition (326 citations) and Health Information Management (54 citations). Radhika M. Pai has collaborated with scholars based in India, France and Maldives. Frequent co-authors include M. M. Manohara Pai, Ujjwal Verma, Sucheta V. Kolekar, Veena Mayya, Preetham Kumar, Rajesh Kumar Sinha, Sulatha V. Bhandary, Indrani Karunasagar, P. Nagabhushan and Sanjay Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.