Subrata Das

2.5k total citations
89 papers, 1.4k citations indexed

About

Subrata Das is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Subrata Das has authored 89 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 22 papers in Signal Processing. Recurrent topics in Subrata Das's work include Speech Recognition and Synthesis (19 papers), Bayesian Modeling and Causal Inference (17 papers) and Logic, Reasoning, and Knowledge (15 papers). Subrata Das is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Bayesian Modeling and Causal Inference (17 papers) and Logic, Reasoning, and Knowledge (15 papers). Subrata Das collaborates with scholars based in United States, Netherlands and Bangladesh. Subrata Das's 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 and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Medical Internet Research and IEEE Transactions on Computers.

In The Last Decade

Subrata Das

80 papers receiving 1.2k citations

Peers

Subrata Das
Kenneth W. Bauer United States
Subrata Das
Citations per year, relative to Subrata Das Subrata Das (= 1×) peers Kenneth W. Bauer

Countries citing papers authored by Subrata Das

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Das, Subrata & Mohammad Zahidur Rahman. (2022). A secured compression technique based on encoding for sharing electronic patient data in slow-speed networks. Heliyon. 8(10). e10788–e10788. 3 indexed citations
2.
Roy, Sujit, et al.. (2018). Hadoop Periodic Jobs Using Data Blocks to Achieve Efficiency. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 3(3). 122–127. 1 indexed citations
3.
Das, Subrata, et al.. (2015). Smart taxi control system: Bangladesh perspective. 15. 82–86. 1 indexed citations
4.
Blasch, Erik, Alan N. Steinberg, Subrata Das, et al.. (2013). Revisiting the JDL model for information exploitation. International Conference on Information Fusion. 129–136. 89 indexed citations
5.
Das, Subrata. (2008). High-Level Data Fusion. Allergy. 56(3). 250–1. 69 indexed citations
7.
Blasch, Erik, Ivan Kadar, Kenneth J. Hintz, et al.. (2007). Issues and challenges in resource management and its interaction with levels 2/3 fusion with applications to real-world problems: an annotated perspective. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6567. 656712–656712. 6 indexed citations
8.
Das, Subrata. (2005). Symbolic argumentation for decision making under uncertainty. 44. 8 pp.–8 pp.. 6 indexed citations
9.
Das, Subrata, et al.. (2005). Mobile Agents for Distributed and Heterogeneous Information Retrieval. Information Retrieval. 8(3). 383–416. 5 indexed citations
10.
Das, Subrata & John H. L. Hansen. (2004). Detection of voice onset time (VOT) for unvoived stops (/p/, /t/, /k/) using the Teager energy operator (TEO) for automatic detection of accented English. 344–347. 27 indexed citations
11.
Das, Subrata, et al.. (2002). Network-based truth maintenance system. European Conference on Artificial Intelligence. 551–555. 1 indexed citations
12.
Das, Subrata, et al.. (2001). Distributed Intelligent Planning and Scheduling for Enhanced Spacecraft Autonomy. 1 indexed citations
14.
Das, Subrata & Peter Hammond. (1996). A logic for conditional recommendation. UCL Discovery (University College London). 1 indexed citations
15.
Das, Subrata. (1992). Deductive databases and logic programming. Addison-Wesley eBooks. 65 indexed citations
16.
Das, Subrata & M. Howard Williams. (1990). Integrity checking methods in deductive databases: a comparative evaluation. 85–116. 7 indexed citations
17.
Hofmann, Martin, et al.. (1987). MODULE: a modular programming environment in Prolog. 73–80. 1 indexed citations
18.
Das, Subrata, et al.. (1971). Speaker Verification Experiments. The Journal of the Acoustical Society of America. 49(1A_Supplement). 138–138. 2 indexed citations
19.
Das, Subrata, et al.. (1969). Pattern recognition in speaker verification. 721–721. 8 indexed citations
20.
Das, Subrata. (1966). ANALYSIS OF TIME-VARYING NETWORKS. Journal of Medical Internet Research. 26. e58066–e58066. 8 indexed citations

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.

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