Taufiquar Khan

737 total citations
47 papers, 499 citations indexed

About

Taufiquar Khan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Mathematical Physics. According to data from OpenAlex, Taufiquar Khan has authored 47 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Electrical and Electronic Engineering and 11 papers in Mathematical Physics. Recurrent topics in Taufiquar Khan's work include Numerical methods in inverse problems (11 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Optical Imaging and Spectroscopy Techniques (10 papers). Taufiquar Khan is often cited by papers focused on Numerical methods in inverse problems (11 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Optical Imaging and Spectroscopy Techniques (10 papers). Taufiquar Khan collaborates with scholars based in United States, Bangladesh and Germany. Taufiquar Khan's co-authors include Bangti Jin, Peter Maaß, Huabei Jiang, Alexandra Smirnova, Thilo Strauss, A. W. Thomas, Mashrur Chowdhury, Xuejun Gu, Mizanur Rahman and Yong Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Water Resources Research.

In The Last Decade

Taufiquar Khan

42 papers receiving 473 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Taufiquar Khan United States 13 230 171 138 103 77 47 499
В. П. Кузнецов Russia 9 224 1.0× 33 0.2× 96 0.7× 45 0.4× 19 0.2× 89 694
Joseph J. Shirron United States 16 275 1.2× 262 1.5× 113 0.8× 22 0.2× 25 0.3× 32 625
Erkki Heikkola Finland 12 62 0.3× 107 0.6× 32 0.2× 28 0.3× 13 0.2× 18 315
Antoine Laurain Germany 17 53 0.2× 80 0.5× 31 0.2× 212 2.1× 53 0.7× 44 703
Éric Bonnetier France 14 181 0.8× 112 0.7× 16 0.1× 251 2.4× 31 0.4× 35 825
Michael Moeller Germany 12 256 1.1× 155 0.9× 99 0.7× 21 0.2× 8 0.1× 51 923
He Ming Yao Hong Kong 15 302 1.3× 285 1.7× 29 0.2× 27 0.3× 60 0.8× 39 758
Stephanos V. Tsinopoulos Greece 17 134 0.6× 73 0.4× 52 0.4× 10 0.1× 29 0.4× 47 733
W.T. Ang Singapore 19 110 0.5× 130 0.8× 83 0.6× 69 0.7× 11 0.1× 104 1.1k
Hongqi Yang China 15 65 0.3× 108 0.6× 10 0.1× 133 1.3× 48 0.6× 54 666

Countries citing papers authored by Taufiquar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Taufiquar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taufiquar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Taufiquar Khan. A scholar is included among the top collaborators of Taufiquar Khan 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 Taufiquar Khan. Taufiquar Khan 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.
Kamrujjaman, Md., et al.. (2025). Decoupled algorithms and analyses for an advection-reaction-diffusion model with stocking and harvesting. Computers & Mathematics with Applications. 189. 24–47.
2.
Strauss, Thilo, et al.. (2025). MCMC-Net: accelerating Markov Chain Monte Carlo with neural networks for inverse problems. Inverse Problems. 41(9). 95013–95013.
3.
Khan, Taufiquar, et al.. (2024). A physics-informed kernel approach to learning the operator for parametric PDEs. Neural Computing and Applications. 36(36). 22773–22787.
4.
Khan, Taufiquar, et al.. (2024). Empirical loss weight optimization for PINN modeling laser bio-effects on human skin for the 1D heat equation. SHILAP Revista de lepidopterología. 16. 100563–100563. 4 indexed citations
5.
Kamrujjaman, Md., et al.. (2023). A continuous-time Markov chain and stochastic differential equations approach for modeling malaria propagation. SHILAP Revista de lepidopterología. 4. 100239–100239. 6 indexed citations
6.
Cherukuri, Harish P., et al.. (2023). Recovering the Forcing Function in Systems with One Degree of Freedom Using ANN and Physics Information. Algorithms. 16(5). 250–250. 1 indexed citations
7.
Khan, Taufiquar, et al.. (2023). Physics-Informed Neural Networks for the Heat Equation with Source Term under Various Boundary Conditions. Algorithms. 16(9). 428–428. 7 indexed citations
8.
Kamrujjaman, Md., et al.. (2023). Structural changes in Mangroves of Sundarban in Bangladesh: effects of climate change and human disturbances. Modeling Earth Systems and Environment. 9(3). 3553–3566. 6 indexed citations
9.
Rahman, Mizanur, et al.. (2022). A Physics-Based Longitudinal Driver Model for Automated Vehicles. IEEE Access. 10. 80883–80899. 1 indexed citations
10.
Strauss, Thilo, et al.. (2022). An Optimal Bayesian Estimator for Absorption Coefficient in Diffuse Optical Tomography. SIAM Journal on Imaging Sciences. 15(2). 797–821. 1 indexed citations
11.
Kamrujjaman, Md., et al.. (2022). Dynamics of heterogeneous population due to spatially distributed parameters and an ideal free pair. Frontiers in Applied Mathematics and Statistics. 8. 2 indexed citations
12.
Khan, Taufiquar, et al.. (2021). A Krylov subspace type method for Electrical Impedance Tomography. ESAIM Mathematical Modelling and Numerical Analysis. 55(6). 2827–2847. 3 indexed citations
13.
Khan, Taufiquar, et al.. (2020). Hyperchromatic structural color for perceptually enhanced sensing by the naked eye. Proceedings of the National Academy of Sciences. 117(48). 30107–30117. 24 indexed citations
14.
Rahman, Mizanur, Mashrur Chowdhury, Taufiquar Khan, & Parth Bhavsar. (2014). A Parameter Estimation and Calibration Method for Car-Following Models. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 2 indexed citations
15.
Khan, Taufiquar, et al.. (2007). Integrated Savitzky-Golay Filter from Inverse Taylor Series Approach. 375–378. 7 indexed citations
16.
Khan, Taufiquar & A. W. Thomas. (2005). Comparison of PN or spherical harmonics approximation for scattering media with spatially varying and spatially constant refractive indices. Optics Communications. 255(1-3). 130–166. 25 indexed citations
17.
Khan, Taufiquar, et al.. (2005). A finite element formulation of frequency-dependent electro-osmosis. Journal of Colloid and Interface Science. 290(2). 574–581. 3 indexed citations
18.
Khan, Taufiquar & Alexandra Smirnova. (2004). 1D inverse problem in diffusion based optical tomography using iteratively regularized Gauss–Newton algorithm. Applied Mathematics and Computation. 161(1). 149–170. 16 indexed citations
19.
Xu, Yong, Xuejun Gu, Taufiquar Khan, & Huabei Jiang. (2002). Absorption and scattering images of heterogeneous scattering media can be simultaneously reconstructed by use of dc data. Applied Optics. 41(25). 5427–5427. 49 indexed citations
20.
Knowles, David, Nader Jalili, & Taufiquar Khan. (2001). On the Nonlinear Modeling and Identification of Piezoelectric Inertial Actuators. Dynamic Systems and Control. 393–398. 1 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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