Sarat C. Dass
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Anil K. JainKarthik NandakumarYi ChenAnil JainNasreen BadruddinFares Al-ShargieTong Boon TangMasashi Kiguchi
- Topics
- COVID-19 epidemiological studies (22 papers)Biometric Identification and Security (18 papers)Mosquito-borne diseases and control (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationApplied Physics Letters
- Partner nations
- MalaysiaUnited StatesIndia
In The Last Decade
Sarat C. Dass
148 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Signal Processing 857
- Computer Vision and Pattern Recognition 815
- Information Systems 403
- Artificial Intelligence 315
- Cognitive Neuroscience 269
Countries citing papers authored by Sarat C. Dass
This map shows the geographic impact of Sarat C. Dass'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 Sarat C. Dass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarat C. Dass more than expected).
Fields of papers citing papers by Sarat C. Dass
This network shows the impact of papers produced by Sarat C. Dass. 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 Sarat C. Dass. The network helps show where Sarat C. Dass may publish in the future.
Co-authorship network of co-authors of Sarat C. Dass
This figure shows the co-authorship network connecting the top 25 collaborators of Sarat C. Dass. A scholar is included among the top collaborators of Sarat C. Dass 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 Sarat C. Dass. Sarat C. Dass 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 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 14 | |
| 11 | 41 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 215 | |
| 15 | Confidence interval estimation of small area parameters shrinking both means and variances | 11 |
| 16 | 46 | |
| 17 | Awareness and practices regarding factors associated with lymphatic filariasis in a municipal area of north Kerala. | 3 |
| 18 | 72 | |
| 19 | Fingerprint Classification Using Orientation Field Flow Curves. | 34 |
| 20 | 16 |
About Sarat C. Dass
Sarat C. Dass is a scholar working on Modeling and Simulation, Signal Processing and Statistics and Probability, having authored 154 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), Biometric Identification and Security (18 papers) and Mosquito-borne diseases and control (15 papers). The work is most often cited by research in Signal Processing (857 citations), Computer Vision and Pattern Recognition (815 citations) and Modeling and Simulation (129 citations). Sarat C. Dass has collaborated with scholars based in Malaysia, United States and India. Frequent co-authors include Anil K. Jain, Karthik Nandakumar, Yi Chen, Anil Jain, Anil Jain, Nasreen Badruddin, Fares Al-Shargie, Tong Boon Tang, Masashi Kiguchi and Arun Ross. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Applied Physics Letters.
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.