Pradip K. Das

594 total citations
61 papers, 326 citations indexed

About

Pradip K. Das is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pradip K. Das has authored 61 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 27 papers in Signal Processing and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pradip K. Das's work include Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (22 papers) and Music and Audio Processing (12 papers). Pradip K. Das is often cited by papers focused on Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (22 papers) and Music and Audio Processing (12 papers). Pradip K. Das collaborates with scholars based in India, Malaysia and Japan. Pradip K. Das's co-authors include Badal Soni, Dalton Meitei Thounaojam, Pulkit Verma, B. K. Tripathy, Hrudaya Kumar Tripathy, Pinki Roy, Mohit Kumar, Shantanu Sharma, M. K. Bhuyan and Mayank Gupta and has published in prestigious journals such as The Journal of the Acoustical Society of America, Robotics and Autonomous Systems and Multimedia Tools and Applications.

In The Last Decade

Pradip K. Das

51 papers receiving 301 citations

Peers

Pradip K. Das
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 197
  • Artificial Intelligence 96
  • Signal Processing 85
  • Media Technology 82
  • Biophysics 39
Replace Paweł Korus with:
Paweł Korus Poland
Mehdi Boroumand United States
Dalton Meitei Thounaojam India
Rajesh Rohilla India
Vijay H. Mankar India
C.-Y. Lin United States
Eric Kee United States
Darko Brodić Serbia
Yijie Lin China
Shantaram Vasikarla India
Paweł Korus Poland View profile →
Citations per field, relative to Pradip K. Das
Pradip K. Das · 1×
Citations per year, relative to Pradip K. Das
Pradip K. Das · 1×

Countries citing papers authored by Pradip K. Das

Since Specialization
Citations

This map shows the geographic impact of Pradip K. 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 Pradip K. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradip K. Das more than expected).

Fields of papers citing papers by Pradip K. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradip K. 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 Pradip K. Das. The network helps show where Pradip K. Das may publish in the future.

Co-authorship network of co-authors of Pradip K. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Pradip K. Das. A scholar is included among the top collaborators of Pradip K. 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 Pradip K. Das. Pradip K. 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 1
6 0
7 3
8 1
9 3
10 3
11 2
12
Gender Detection from Human Voice Using Tensor Analysis
3
13
Phoneme Boundary Analysis using Multiway Geometric Properties of Waveform Trajectories.
1
14 60
15 15
16 2
17 0
18 2
19
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
18
20
A Prospective Fuzzy Logic approach to Knowledge-based Navigation of Mobile LEGO-Robot.
5

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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