Susmita Mall

859 total citations
13 papers, 586 citations indexed

About

Susmita Mall is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Susmita Mall has authored 13 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 9 papers in Modeling and Simulation and 7 papers in Artificial Intelligence. Recurrent topics in Susmita Mall's work include Model Reduction and Neural Networks (11 papers), Fractional Differential Equations Solutions (9 papers) and Neural Networks and Applications (7 papers). Susmita Mall is often cited by papers focused on Model Reduction and Neural Networks (11 papers), Fractional Differential Equations Solutions (9 papers) and Neural Networks and Applications (7 papers). Susmita Mall collaborates with scholars based in India. Susmita Mall's co-authors include Snehashish Chakraverty and has published in prestigious journals such as Neural Computation, Neurocomputing and Applied Soft Computing.

In The Last Decade

Susmita Mall

13 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susmita Mall India 11 309 285 171 110 86 13 586
Mohamed Adel Egypt 17 208 0.7× 405 1.4× 46 0.3× 201 1.8× 72 0.8× 99 789
Juhn-Horng Chen Taiwan 14 494 1.6× 232 0.8× 52 0.3× 33 0.3× 48 0.6× 18 743
Neha Yadav India 7 139 0.4× 92 0.3× 103 0.6× 40 0.4× 54 0.6× 15 375
Eman Salem Alaidarous Saudi Arabia 12 73 0.2× 165 0.6× 82 0.5× 132 1.2× 124 1.4× 32 545
Hsien-Keng Chen Taiwan 16 907 2.9× 204 0.7× 89 0.5× 22 0.2× 46 0.5× 31 1.1k
Long-Jye Sheu Taiwan 10 356 1.2× 171 0.6× 41 0.2× 21 0.2× 67 0.8× 25 558
Asai Asaithambi United States 11 76 0.2× 208 0.7× 54 0.3× 179 1.6× 126 1.5× 37 501
Da‐Yan Liu France 19 118 0.4× 538 1.9× 92 0.5× 249 2.3× 42 0.5× 68 1.0k
Jianping Yan China 12 403 1.3× 112 0.4× 27 0.2× 69 0.6× 62 0.7× 16 579
Arturo Sarmiento-Reyes Mexico 13 116 0.4× 278 1.0× 23 0.1× 216 2.0× 45 0.5× 91 619

Countries citing papers authored by Susmita Mall

Since Specialization
Citations

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

Fields of papers citing papers by Susmita Mall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susmita Mall

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

All Works

13 of 13 papers shown
1.
Mall, Susmita & Snehashish Chakraverty. (2020). A novel Chebyshev neural network approach for solving singular arbitrary order Lane-Emden equation arising in astrophysics. Network Computation in Neural Systems. 31(1-4). 142–165. 7 indexed citations
2.
Mall, Susmita, et al.. (2020). Single layer Chebyshev neural network model with regression-based weights for solving nonlinear ordinary differential equations. Evolutionary Intelligence. 13(4). 687–694. 19 indexed citations
3.
Chakraverty, Snehashish & Susmita Mall. (2017). Artificial Neural Networks for Engineers and Scientists. 57 indexed citations
4.
Chakraverty, Snehashish & Susmita Mall. (2017). Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. CERN Bulletin. 27 indexed citations
5.
Mall, Susmita & Snehashish Chakraverty. (2016). Application of Legendre Neural Network for solving ordinary differential equations. Applied Soft Computing. 43. 347–356. 129 indexed citations
6.
Mall, Susmita & Snehashish Chakraverty. (2016). Hermite Functional Link Neural Network for Solving the Van der Pol–Duffing Oscillator Equation. Neural Computation. 28(8). 1574–1598. 31 indexed citations
7.
Mall, Susmita & Snehashish Chakraverty. (2016). Single Layer Chebyshev Neural Network Model for Solving Elliptic Partial Differential Equations. Neural Processing Letters. 45(3). 825–840. 69 indexed citations
8.
Mall, Susmita & Snehashish Chakraverty. (2015). Multi Layer Versus Functional Link Single Layer Neural Network for Solving Nonlinear Singular Initial Value Problems. 3. 678–683. 2 indexed citations
9.
Mall, Susmita & Snehashish Chakraverty. (2014). Chebyshev Neural Network based model for solving Lane–Emden type equations. Applied Mathematics and Computation. 247. 100–114. 85 indexed citations
10.
Mall, Susmita & Snehashish Chakraverty. (2014). Numerical solution of nonlinear singular initial value problems of Emden–Fowler type using Chebyshev Neural Network method. Neurocomputing. 149. 975–982. 74 indexed citations
11.
Mall, Susmita & Snehashish Chakraverty. (2013). Regression-based neural network training for the solution of ordinary differential equations. International Journal of Mathematical Modelling and Numerical Optimisation. 4(2). 136–136. 17 indexed citations
12.
Chakraverty, Snehashish & Susmita Mall. (2013). Regression-based weight generation algorithm in neural network for solution of initial and boundary value problems. Neural Computing and Applications. 25(3-4). 585–594. 40 indexed citations
13.
Mall, Susmita & Snehashish Chakraverty. (2013). Comparison of Artificial Neural Network Architecture in Solving Ordinary Differential Equations. 2013. 1–12. 29 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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