C. Sowmiya

462 total citations
17 papers, 403 citations indexed

About

C. Sowmiya is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, C. Sowmiya has authored 17 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in C. Sowmiya's work include Neural Networks Stability and Synchronization (16 papers), Neural Networks and Applications (9 papers) and stochastic dynamics and bifurcation (6 papers). C. Sowmiya is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Neural Networks and Applications (9 papers) and stochastic dynamics and bifurcation (6 papers). C. Sowmiya collaborates with scholars based in India, China and Thailand. C. Sowmiya's co-authors include R. Raja, Grienggrai Rajchakit, Jinde Cao, C. Maharajan, Pratap Anbalagan, Ovidiu Bagdasar, Quanxin Zhu, Xiaodi Li, Ahmed Alsaedi and Ravi P. Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Franklin Institute and Neural Networks.

In The Last Decade

C. Sowmiya

17 papers receiving 392 citations

Peers

C. Sowmiya

CNC

SNP

CSE

EEE

C. Maharajan India

Zengyun Wang China

S. Saravanan India

Hao Yin China

Pharunyou Chanthorn Thailand

Dongxue Peng China

Huaiqin Wu China

Qinghua Zhou China

Zhilong He China

Mei-Lan Tang China

C. Maharajan India

C. Sowmiya

273 ×0.9

CNC

123 ×0.9

SNP

123 ×1.0

84 ×0.8

CSE

81 ×1.0

EEE

Citations per year, relative to C. Sowmiya C. Sowmiya (= 1×) peers C. Maharajan

Countries citing papers authored by C. Sowmiya

Since Specialization

Citations

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

Fields of papers citing papers by C. Sowmiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Sowmiya

This figure shows the co-authorship network connecting the top 25 collaborators of C. Sowmiya. A scholar is included among the top collaborators of C. Sowmiya 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 C. Sowmiya. C. Sowmiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Maharajan, C., C. Sowmiya, & Changjin Xu. (2025). Lagrange stability of inertial type neural networks: A Lyapunov-Krasovskii functional approach. Evolving Systems. 16(2). 2 indexed citations

Maharajan, C., C. Sowmiya, & Changjin Xu. (2024). Delay dependent complex-valued bidirectional associative memory neural networks with stochastic and impulsive effects: an exponential stability approach. Kybernetika. 317–356. 16 indexed citations

Maharajan, C., et al.. (2024). Fractional order uncertain BAM neural networks with mixed time delays: An existence and Quasi-uniform stability analysis. Journal of Intelligent & Fuzzy Systems. 46(2). 4291–4313. 35 indexed citations

Sowmiya, C., et al.. (2023). Sampled-data controller scheme for multi-agent systems and its Application to circuit network. Neural Networks. 170. 506–520. 16 indexed citations

Sowmiya, C., et al.. (2023). Hand Gesture Recognition using Convolutional Neural Networks. 249–255. 1 indexed citations

Maharajan, C. & C. Sowmiya. (2023). Exponential stability of delay dependent neutral-type descriptor neural networks with uncertain parameters. SHILAP Revista de lepidopterología. 5. 100042–100042. 5 indexed citations

Anbalagan, Pratap, R. Raja, C. Sowmiya, et al.. (2019). Global projective lag synchronization of fractional order memristor based BAM neural networks with mixed time varying delays. Asian Journal of Control. 22(1). 570–583. 51 indexed citations

Sowmiya, C., R. Raja, Jinde Cao, Grienggrai Rajchakit, & Ahmed Alsaedi. (2019). A delay‐dependent asymptotic stability criteria for uncertain BAM neural networks with leakage and discrete time‐varying delays: A novel summation inequality. Asian Journal of Control. 22(5). 1880–1891. 13 indexed citations

Sowmiya, C., R. Raja, Jinde Cao, Ravi P. Agarwal, & Grienggrai Rajchakit. (2019). Passivity Analysis for Uncertain BAM Neural Networks with Leakage, Discrete and Distributed Delays Using Novel Summation Inequality. International Journal of Control Automation and Systems. 17(8). 2114–2124. 18 indexed citations

10.

Anbalagan, Pratap, R. Raja, C. Sowmiya, et al.. (2018). Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses. Neural Networks. 103. 128–141. 63 indexed citations

11.

Sowmiya, C., R. Raja, Quanxin Zhu, & Grienggrai Rajchakit. (2018). Further mean-square asymptotic stability of impulsive discrete-time stochastic BAM neural networks with Markovian jumping and multiple time-varying delays. Journal of the Franklin Institute. 356(1). 561–591. 72 indexed citations

12.

Sowmiya, C., R. Raja, Jinde Cao, et al.. (2018). Global exponential stability of antiperiodic solutions for impulsive discrete‐time Markovian jumping stochastic BAM neural networks with additive time‐varying delays and leakage delay. International Journal of Adaptive Control and Signal Processing. 32(6). 908–936. 11 indexed citations

13.

Sowmiya, C., R. Raja, Jinde Cao, & Grienggrai Rajchakit. (2018). Impulsive discrete-time BAM neural networks with random parameter uncertainties and time-varying leakage delays: an asymptotic stability analysis. Nonlinear Dynamics. 91(4). 2571–2592. 17 indexed citations

14.

Sowmiya, C., R. Raja, Jinde Cao, Xiaodi Li, & Grienggrai Rajchakit. (2018). Discrete-time stochastic impulsive BAM neural networks with leakage and mixed time delays: An exponential stability problem. Journal of the Franklin Institute. 355(10). 4404–4435. 31 indexed citations

15.

Sowmiya, C., R. Raja, Jinde Cao, Grienggrai Rajchakit, & Ahmed Alsaedi. (2018). Exponential Stability of Discrete-Time Cellular Uncertain BAM Neural Networks with Variable Delays using Halanay-Type Inequality. Applied Mathematics & Information Sciences. 12(3). 545–558. 5 indexed citations

16.

Sowmiya, C., R. Raja, Jinde Cao, & Grienggrai Rajchakit. (2018). Enhanced result on stability analysis of randomly occurring uncertain parameters, leakage, and impulsive BAM neural networks with time‐varying delays: Discrete‐time case. International Journal of Adaptive Control and Signal Processing. 32(7). 1010–1039. 11 indexed citations

17.

Sowmiya, C., R. Raja, Jinde Cao, Grienggrai Rajchakit, & Ahmed Alsaedi. (2017). Enhanced robust finite-time passivity for Markovian jumping discrete-time BAM neural networks with leakage delay. Advances in Difference Equations. 2017(1). 318–318. 36 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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