S. Durga Bhavani
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Computer Networks and Communications
- Co-authors
- N. Ravi ShankarRaju S. BapiSomdatta SinhaK. VaniKaushik ShivakumarP. Deepa ShenoyK. R. VenugopalVikas Kumar
- Topics
- Complex Network Analysis Techniques (11 papers)Advanced Graph Neural Networks (5 papers)Chaos-based Image/Signal Encryption (5 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- India
In The Last Decade
S. Durga Bhavani
38 papers receiving 220 citations
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 120
- Computer Vision and Pattern Recognition 69
- Information Systems 50
- Molecular Biology 49
- Computer Networks and Communications 33
Countries citing papers authored by S. Durga Bhavani
This map shows the geographic impact of S. Durga Bhavani'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 S. Durga Bhavani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Durga Bhavani more than expected).
Fields of papers citing papers by S. Durga Bhavani
This network shows the impact of papers produced by S. Durga Bhavani. 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 S. Durga Bhavani. The network helps show where S. Durga Bhavani may publish in the future.
Co-authorship network of co-authors of S. Durga Bhavani
This figure shows the co-authorship network connecting the top 25 collaborators of S. Durga Bhavani. A scholar is included among the top collaborators of S. Durga Bhavani 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 S. Durga Bhavani. S. Durga Bhavani 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 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks. | 2 |
About S. Durga Bhavani
S. Durga Bhavani is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 41 papers that have together received 250 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Health Information Management (19 citations), Artificial Intelligence (120 citations) and Computer Vision and Pattern Recognition (69 citations). S. Durga Bhavani has collaborated with scholars based in India. Frequent co-authors include N. Ravi Shankar, Raju S. Bapi, Somdatta Sinha, K. Vani, Kaushik Shivakumar, P. Deepa Shenoy, K. R. Venugopal, Vikas Kumar, Shivam Sharma and Pramod Upadhyay. Their work appears in journals such as Bioinformatics, Applied Soft Computing and Scientometrics.
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.