Pulkit Sharma

66 papers receiving 568 citations

Peers

Pulkit Sharma
Comparison fields: 5 of 112
  • Developmental Biology 43
  • Signal Processing 185
  • Computational Mathematics 4
  • Health Information Management 21
  • Hardware and Architecture 30
Replace D. V. Rama Koti Reddy with:
D. V. Rama Koti Reddy India
Wendy Van Moer Belgium
Abhay Kumar India
Gwo‐Jen Jan Taiwan
Amr E. Mohamed Egypt
Hamza Djelouat Qatar
Shafiq Hussain Pakistan
T. Ravichandran India
Siamak Yousefi Canada
Zhiping Huang China
Pulkit Sharma relative to D. V. Rama Koti Reddy India D. V. Rama Koti Reddy's profile →
Citations per field
00.5×7.5×
D. V. Rama Koti Reddy · 1×
Citations per year

Countries citing papers authored by Pulkit Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Pulkit Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pulkit Sharma, 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 Pulkit Sharma Line = papers co-authored together Pulkit Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201066
2 201961
3 201734
4 201731
5 200228
6 202021
7 202120
8 201616
9 201515
10 201314
11 201514
12 201313
13 201712
14 202111
15 201611
16 201511
17 201810
18 201810
19 20189
20 20189

About Pulkit Sharma

Pulkit Sharma is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, having authored 72 papers that have together received 595 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Music and Audio Processing (7 papers), Speech Recognition and Synthesis (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Animal Vocal Communication and Behavior (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Cognitive Radio Networks and Spectrum Sensing (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Developmental Biology (43 citations), Signal Processing (185 citations), Computational Mathematics (4 citations), Health Information Management (21 citations) and Hardware and Architecture (30 citations). Pulkit Sharma has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Vinayak Abrol, Anil Kumar Sao, Tricia Bhatti, David A. Clifton, Farah E. Shamout, Tingting Zhu, Peter Watkinson, Sugato Hajra, Sushrisangita Sahoo and Pravat Kumar Rout. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Speech Communication, Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing and Physical Chemistry Chemical Physics.

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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