Parvathi Chundi
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing
- Computer Vision and Pattern Recognition
- Co-authors
- Mahadevan SubramaniamDaniel J. RosenkrantzS. S. RaviUmeshwar DayalWei ChenAbhishek ParakhMeichun HsuVenkataramana Gadhamshetty
- Topics
- Advanced Database Systems and Queries (6 papers)Advanced Text Analysis Techniques (6 papers)Retinal Imaging and Analysis (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in MicrobiologyData Mining and Knowledge Discovery
- Partner nations
- United StatesTürkiyeSingapore
In The Last Decade
Parvathi Chundi
53 papers receiving 232 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 83
- Computer Networks and Communications 69
- Information Systems 58
- Signal Processing 30
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Parvathi Chundi
This map shows the geographic impact of Parvathi Chundi'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 Parvathi Chundi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parvathi Chundi more than expected).
Fields of papers citing papers by Parvathi Chundi
This network shows the impact of papers produced by Parvathi Chundi. 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 Parvathi Chundi. The network helps show where Parvathi Chundi may publish in the future.
Co-authorship network of co-authors of Parvathi Chundi
This figure shows the co-authorship network connecting the top 25 collaborators of Parvathi Chundi. A scholar is included among the top collaborators of Parvathi Chundi 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 Parvathi Chundi. Parvathi Chundi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | Learning objects based adaptive textbooks with dynamic traversal for quantum cryptography | 4 |
| 8 | 1 | |
| 9 | Ocular Toxoplasmosis Lesion Detection on Fundus Photograph using a Deep Learning Model | 6 |
| 10 | 7 | |
| 11 | 1 | |
| 12 | International Journal of Knowledge-Based Organizations | 2 |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 27 | |
| 19 | 8 | |
| 20 | 1 |
About Parvathi Chundi
Parvathi Chundi is a scholar working on Computer Science Applications, Signal Processing and Computer Networks and Communications, having authored 53 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Advanced Text Analysis Techniques (6 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Biophysics (26 citations), Computer Networks and Communications (69 citations) and Media Technology (25 citations). Parvathi Chundi has collaborated with scholars based in United States, Türkiye and Singapore. Frequent co-authors include Mahadevan Subramaniam, Daniel J. Rosenkrantz, S. S. Ravi, Umeshwar Dayal, Wei Chen, Abhishek Parakh, Meichun Hsu, Venkataramana Gadhamshetty, Shankarachary Ragi and Kalimuthu Jawaharraj. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Data Mining and Knowledge Discovery.
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.