Firdous A. Shah

2.4k total citations · 1 hit paper
136 papers, 1.6k citations indexed

About

Firdous A. Shah is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Firdous A. Shah has authored 136 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Applied Mathematics, 90 papers in Computer Vision and Pattern Recognition and 42 papers in Signal Processing. Recurrent topics in Firdous A. Shah's work include Mathematical Analysis and Transform Methods (102 papers), Image and Signal Denoising Methods (88 papers) and Digital Filter Design and Implementation (42 papers). Firdous A. Shah is often cited by papers focused on Mathematical Analysis and Transform Methods (102 papers), Image and Signal Denoising Methods (88 papers) and Digital Filter Design and Implementation (42 papers). Firdous A. Shah collaborates with scholars based in India, Saudi Arabia and Taiwan. Firdous A. Shah's co-authors include Lokenath Debnath, Azhar Y. Tantary, H. M. Srivastava, Kottakkaran Sooppy Nisar, M. Younus Bhat, Ahmed I. Zayed, Arif Billah Dar, Mawardi Bahri, R. T. Matoog and Emad E. Mahmoud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Energies.

In The Last Decade

Firdous A. Shah

125 papers receiving 1.5k citations

Hit Papers

Wavelet Transforms and Their Applications 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Wavelet Transforms and Their Applications
    2014 269 citations Firdous A. Shah et al. profile →

Peers

Firdous A. Shah
Klaus Höllig Germany
W. R. Madych United States
T. N. T. Goodman United Kingdom
Stephan Dahlke Germany
Gerlind Plonka Germany
J. C. Mason United Kingdom
Peter Massopust Germany
Ben Adcock Canada
Gilbert G. Walter United States
Rong-Qing Jia Canada
Klaus Höllig Germany
Firdous A. Shah
Citations per year, relative to Firdous A. Shah Firdous A. Shah (= 1×) peers Klaus Höllig

Countries citing papers authored by Firdous A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Firdous A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Firdous A. Shah. 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 Firdous A. Shah. The network helps show where Firdous A. Shah may publish in the future.

Co-authorship network of co-authors of Firdous A. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Firdous A. Shah. A scholar is included among the top collaborators of Firdous A. Shah 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 Firdous A. Shah. Firdous A. Shah 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
1.
Shah, Firdous A., et al.. (2023). Special affine biorthogonal wavelets on R and logarithmic regression curves. Filomat. 37(19). 6289–6306. 2 indexed citations
2.
Shah, Firdous A., et al.. (2023). Clifford-Valued Ridgelet Transform: Localization Operators and Uncertainty Principles. Computational Methods and Function Theory. 24(1). 205–227.
3.
Srivastava, H. M., et al.. (2023). Quadratic-Phase Hilbert Transform and the Associated Bedrosian Theorem. Axioms. 12(2). 218–218. 1 indexed citations
4.
Shah, Firdous A., et al.. (2023). Fibonacci Wavelet Method for the Numerical Solution of Nonlinear Reaction-Diffusion Equations of Fisher-Type. Journal of Mathematics. 2023. 1–19. 6 indexed citations
5.
Shah, Firdous A., et al.. (2022). Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras. Journal of Mathematics. 2022(1). 4 indexed citations
6.
Shah, Firdous A., et al.. (2022). Uncertainty principles for the coupled fractional Wigner distribution. International Journal of Geometric Methods in Modern Physics. 20(1). 4 indexed citations
7.
Shah, Firdous A., et al.. (2022). Special affine wavelet packets: Theory and applications. Optik. 266. 169570–169570. 5 indexed citations
8.
Shah, Firdous A., et al.. (2022). Clifford-Valued Wave-Packet Transform with Applications to Benchmark Signals. Bulletin of the Malaysian Mathematical Sciences Society. 45(5). 2373–2403. 5 indexed citations
9.
Shah, Firdous A. & Azhar Y. Tantary. (2022). Multi-dimensional linear canonical transform with applications to sampling and multiplicative filtering. Multidimensional Systems and Signal Processing. 33(2). 621–650. 18 indexed citations
10.
Mejjaolı, Hatem & Firdous A. Shah. (2022). Quantitative Uncertainty Principles Associated with the Deformed Gabor Transform. Journal of Mathematics. 2022(1). 2 indexed citations
11.
Shah, Firdous A., et al.. (2022). An interplay between quadratic-phase Fourier and Zak transforms. Optik. 260. 169021–169021. 2 indexed citations
12.
Srivastava, H. M., et al.. (2021). A Fibonacci Wavelet Method for Solving Dual-Phase-Lag Heat Transfer Model in Multi-Layer Skin Tissue during Hyperthermia Treatment. Energies. 14(8). 2254–2254. 23 indexed citations
13.
Shah, Firdous A., et al.. (2021). Quadratic‐phase wavelet transform with applications to generalized differential equations. Mathematical Methods in the Applied Sciences. 45(3). 1153–1175. 16 indexed citations
14.
Shah, Firdous A., et al.. (2021). Fibonacci wavelet method for solving time-fractional telegraph equations with Dirichlet boundary conditions. Results in Physics. 24. 104123–104123. 46 indexed citations
15.
Shah, Firdous A., et al.. (2021). Generalized wavelet method for solving non-steady heat transfer model of fractional order. SeMA Journal. 78(4). 541–556. 1 indexed citations
16.
Srivastava, H. M., et al.. (2021). Fractional nonuniform multiresolution analysis in L2(ℝ). Mathematical Methods in the Applied Sciences. 44(11). 9351–9372. 6 indexed citations
17.
Shah, Firdous A., et al.. (2020). A computational wavelet method for solving dual‐phase‐lag model of bioheat transfer during hyperthermia treatment. Computational and Mathematical Methods. 2(4). 9 indexed citations
18.
Srivastava, H. M., et al.. (2020). Generalized wavelet quasilinearization method for solving population growth model of fractional order. Mathematical Methods in the Applied Sciences. 43(15). 8753–8762. 28 indexed citations
19.
Shah, Firdous A., et al.. (2019). Solution of fractional oscillator equations using ultraspherical wavelets. International Journal of Geometric Methods in Modern Physics. 16(5). 1950075–1950075. 8 indexed citations
20.
Shah, Firdous A.. (2015). p-Frame Multiresolution Analysis Related to the Walsh Functions. SHILAP Revista de lepidopterología. 2 indexed citations

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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