Rizwan Ullah

499 citations
33 papers · 265 · h-index 10

Impact in

Papers in

Rizwan Ullah

30 papers receiving 247 citations

Peers

Rizwan Ullah
Comparison fields: 5 of 53
  • Signal Processing 70
  • Computational Mechanics 115
  • Mechanics of Materials 74
  • Aerospace Engineering 48
  • Computational Mathematics 1
Replace Masahide Yoneyama with:
Masahide Yoneyama Japan
Abhijit Gupta United States
Vijaya V. N. Sriram Malladi United States
Mikio Tohyama Japan
Swen Müller Brazil
A. Hirschberg Netherlands
Fengyan An China
Paulo Massarani Chile
Jean-Dominique Polack France
Hogeon Seo South Korea
Rizwan Ullah relative to Masahide Yoneyama Japan Masahide Yoneyama's profile →
Citations per field
00.5×8.1×
Masahide Yoneyama · 1×
Citations per year

Countries citing papers authored by Rizwan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Rizwan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 201934
3 201933
4 202325
5 202317
6 202014
7 202412
8 202110
9 20239
10 20209
11 20209
12 20228
13 20117
14 20236
15 20195
16 20225
17 20234
18 20224
19 20203
20 20222

About Rizwan Ullah

Rizwan Ullah is a scholar working on Computational Mechanics, Signal Processing, Mechanics of Materials, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 265 indexed citations. Recurring topics across this work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (7 papers), Fluid dynamics and aerodynamics studies (5 papers), Cavitation Phenomena in Pumps (5 papers), Speech Recognition and Synthesis (4 papers), Blind Source Separation Techniques (4 papers), Hearing Loss and Rehabilitation (2 papers) and Hydraulic flow and structures (2 papers). The work is most often cited by research in Signal Processing (70 citations), Computational Mechanics (115 citations), Mechanics of Materials (74 citations), Aerospace Engineering (48 citations) and Computational Mathematics (1 citation). Rizwan Ullah has collaborated with scholars based in China, Pakistan and Thailand. Frequent co-authors include Taqi Ahmad Cheema, Cheol Woo Park, S.M. Ahmad, Md. Imran Hossain, Zhongfu Ye, Bilal Akbar, Lunchakorn Wuttisittikulkij, Zhongfu Ye, Muhammad Sohail and Nasir Saleem. Their work appears in journals such as Applied Acoustics, Journal of Cloud Computing Advances Systems and Applications, Sensors, Digital Signal Processing and Speech Communication.

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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