Approximate analytical solutions of fractional gas dynamic equations. - Subir Das; Rakesh Kumar 010 (Appl. Math. Comput., 2011)

Exponential stability of inertial BAM neural network with time-varying impulses and mixed time-varying delays via matrix measure approach. - Rakesh Kumar 010; Subir Das (Commun. Nonlinear Sci. Numer. Simul., 2020)

Weak, modified and function projective synchronization of Cohen-Grossberg neural networks with mixed time-varying delays and parameter mismatch via matrix measure approach. - Rakesh Kumar 010; Subir Das (Neural Comput. Appl., 2020)

Effects of infinite occurrence of hybrid impulses with quasi-synchronization of parameter mismatched neural networks. - Rakesh Kumar 010; Subir Das; Yang Cao 003 (Neural Networks, 2020)

Projective Synchronization of Delayed Neural Networks With Mismatched Parameters and Impulsive Effects. - Rakesh Kumar 010; Shreemoyee Sarkar; Subir Das; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Effects of heterogeneous impulses on synchronization of complex-valued neural networks with mixed time-varying delays. - Rakesh Kumar 010; Umesh Kumar; Subir Das; Jianlong Qiu; Jianquan Lu (Inf. Sci., 2021)

Multistability analysis of octonion-valued neural networks with time-varying delays. - Shiv Shankar Chouhan; Rakesh Kumar 010; Shreemoyee Sarkar; Subir Das (Inf. Sci., 2022)

Fixed-time stability of dynamical systems with impulsive effects. - Md Arzoo Jamal; Rakesh Kumar 010; Santwana Mukhopadhyay; Subir Das (J. Frankl. Inst., 2022)

Fixed-time stability of Cohen-Grossberg BAM neural networks with impulsive perturbations. - Md Arzoo Jamal; Rakesh Kumar 010; Santwana Mukhopadhyay; Oh-Min Kwon 001 (Neurocomputing, 2023)

Finite/nearly fixed-time stability of nonlinear impulsive systems with destabilizing impulses and its application to neural networks. - Rakesh Kumar 010; Denis V. Efimov (Commun. Nonlinear Sci. Numer. Simul., 2023)