Subrata Das
- Artificial Intelligence top 1%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- John P. FoxErik BlaschChee ChongIvan KadarMichael PichenySujit RoyJames LlinasMieczyslaw M. Kokar
- Topics
- Speech Recognition and Synthesis (19 papers)Bayesian Modeling and Causal Inference (17 papers)Logic, Reasoning, and Knowledge (15 papers)
- Journals
- The Journal of the Acoustical Society of AmericaJournal of Medical Internet ResearchIEEE Transactions on Computers
- Partner nations
- United StatesNetherlandsBangladesh
In The Last Decade
Subrata Das
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 881
- Signal Processing 269
- Computer Networks and Communications 216
- Aerospace Engineering 133
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Subrata Das
This map shows the geographic impact of Subrata Das'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 Subrata Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrata Das more than expected).
Fields of papers citing papers by Subrata Das
This network shows the impact of papers produced by Subrata Das. 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 Subrata Das. The network helps show where Subrata Das may publish in the future.
Co-authorship network of co-authors of Subrata Das
This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Das. A scholar is included among the top collaborators of Subrata Das 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 Subrata Das. Subrata Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Revisiting the JDL model for information exploitation | 89 |
| 5 | 69 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | Detection of voice onset time (VOT) for unvoived stops (/p/, /t/, /k/) using the Teager energy operator (TEO) for automatic detection of accented English | 27 |
| 11 | Network-based truth maintenance system | 1 |
| 12 | Distributed Intelligent Planning and Scheduling for Enhanced Spacecraft Autonomy | 1 |
| 13 | 4 | |
| 14 | A logic for conditional recommendation | 1 |
| 15 | Deductive databases and logic programming | 65 |
| 16 | Integrity checking methods in deductive databases: a comparative evaluation | 7 |
| 17 | MODULE: a modular programming environment in Prolog | 1 |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 8 |
About Subrata Das
Subrata Das is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Bayesian Modeling and Causal Inference (17 papers) and Logic, Reasoning, and Knowledge (15 papers). The work is most often cited by research in Artificial Intelligence (881 citations), Signal Processing (269 citations) and Management Science and Operations Research (120 citations). Subrata Das has collaborated with scholars based in United States, Netherlands and Bangladesh. Frequent co-authors include John P. Fox, Erik Blasch, Chee Chong, Ivan Kadar, Michael Picheny, Sujit Roy, James Llinas, Mieczyslaw M. Kokar, John Salerno and M. Howard Williams. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Medical Internet Research and IEEE Transactions on Computers.
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.