S. Shahnawazuddin

1.1k citations
77 papers · 813 indexed · h-index 16

Impact in

Papers in

S. Shahnawazuddin

71 papers receiving 781 citations

Peers

S. Shahnawazuddin
Comparison fields: 5 of 65
  • Signal Processing 537
  • Artificial Intelligence 541
  • Experimental and Cognitive Psychology 95
  • Computer Vision and Pattern Recognition 111
  • Pharmacy 25
Replace Hong-Goo Kang with:
Hong-Goo Kang South Korea
Gayadhar Pradhan India
D. Govind India
Szu‐Wei Fu Taiwan
David Dean Australia
Xavier Aubert Germany
Syu‐Siang Wang Taiwan
Víctor Osma-Ruiz Spain
Nicolás Sáenz-Lechón Spain
Hanbin Zhang China
S. Shahnawazuddin relative to Hong-Goo Kang South Korea Hong-Goo Kang's profile →
Citations per field
00.5×1.5×1.8×
Hong-Goo Kang · 1×
Citations per year

Countries citing papers authored by S. Shahnawazuddin

Since Specialization
Citations

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

Fields of papers citing papers by S. Shahnawazuddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside S. Shahnawazuddin, 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 S. Shahnawazuddin Line = papers co-authored together S. Shahnawazuddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20240
4 20241
5 20244
6 20242
7 20234
8 20225
9 202112
10 20215
11 202025
12 20201
13 201913
14 201937
15 20181
16 201810
17 201833
18 201730
19 201715
20 201779

About S. Shahnawazuddin

S. Shahnawazuddin is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Ophthalmology, having authored 77 papers that have together received 813 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (61 papers), Speech and Audio Processing (59 papers), Music and Audio Processing (33 papers), Phonetics and Phonology Research (9 papers), Blind Source Separation Techniques (7 papers), Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (5 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Signal Processing (537 citations), Artificial Intelligence (541 citations), Experimental and Cognitive Psychology (95 citations), Computer Vision and Pattern Recognition (111 citations) and Pharmacy (25 citations). S. Shahnawazuddin has collaborated with scholars based in India, Greece and Finland. Frequent co-authors include Gayadhar Pradhan, Rohit Sinha, Hemant Kumar Kathania, Nagaraj Adiga, Pratik Singh, Avinash Kumar, Ashish Kumar Bhandari, Ishwar Chandra Yadav, S. R. Mahadeva Prasanna and Arindam Samaddar. Their work appears in journals such as Digital Signal Processing, Applied Acoustics, IEEE Signal Processing Letters, Speech Communication and Computer Speech & Language.

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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