Mohit Dua

2.7k citations
121 papers · 1.7k · h-index 24

Impact in

Papers in

Mohit Dua

111 papers receiving 1.6k citations

Peers

Mohit Dua
Comparison fields: 5 of 98
  • Signal Processing 558
  • Computer Vision and Pattern Recognition 707
  • Artificial Intelligence 836
  • Experimental and Cognitive Psychology 131
  • Mathematical Physics 89
Replace Mourad Zaied with:
Mourad Zaied Tunisia
Stefano Berretti Italy
Ridha Ejbali Tunisia
Chokri Ben Amar Tunisia
Muhammad Ehatisham-ul-Haq Pakistan
Cüneyt Güzelіș Türkiye
Qiuqi Ruan China
Mariko Nakano-Miyatake Mexico
C. Eswaran Malaysia
Mohit Dua relative to Mourad Zaied Tunisia Mourad Zaied's profile →
Citations per field
00.5×4.1×
Mourad Zaied · 1×
Citations per year

Countries citing papers authored by Mohit Dua

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Dua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohit Dua. 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 Mohit Dua. The network helps show where Mohit Dua may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohit Dua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohit Dua Line = papers co-authored together Mohit Dua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020136
2 202067
3
Punjabi Automatic Speech Recognition Using HTK
201260
4 201945
5 202142
6 201841
7 201839
8 201838
9 201936
10 201936
11 202334
12 201933
13 202330
14 202130
15 202030
16 202129
17 202327
18 202127
19 202227
20 202027

About Mohit Dua

Mohit Dua is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Mathematical Physics, having authored 121 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (41 papers), Speech Recognition and Synthesis (40 papers), Chaos-based Image/Signal Encryption (37 papers), Music and Audio Processing (36 papers), Advanced Steganography and Watermarking Techniques (23 papers), Cellular Automata and Applications (12 papers), Cryptographic Implementations and Security (10 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Signal Processing (558 citations), Computer Vision and Pattern Recognition (707 citations), Artificial Intelligence (836 citations), Experimental and Cognitive Psychology (131 citations) and Mathematical Physics (89 citations). Mohit Dua has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Shelza Dua, Rajesh Kumar Aggarwal, Mantosh Biswas, Virender Kadyan, Ankita Bisht, Sushil Kumar, Ankit Kumar Jain, Vaibhav Garg, Rajender Kumar and Parneet Kaur. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Speech Technology, Journal of Ambient Intelligence and Humanized Computing, Complex & Intelligent Systems and The Imaging Science Journal.

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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