Smita Tapaswini

453 citations
28 papers · 292 · h-index 9

Impact in

Papers in

Smita Tapaswini

27 papers receiving 267 citations

Peers

Smita Tapaswini
Comparison fields: 5 of 41
  • Modeling and Simulation 164
  • Statistics and Probability 199
  • Applied Mathematics 98
  • Numerical Analysis 32
  • Statistics, Probability and Uncertainty 32
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Karim Ivaz Iran
Afet Golayoğlu Fatullayev Türkiye
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Francielle Santo Pedro Brazil
E. Ahmady Iran
Anupam Das India
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Citations per year

Countries citing papers authored by Smita Tapaswini

Since Specialization
Citations

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

Fields of papers citing papers by Smita Tapaswini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Smita Tapaswini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Smita Tapaswini Line = papers co-authored together Smita Tapaswini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201638
2 201633
3 201226
4
Numerical Solution of Fuzzy Arbitrary Order Predator-Prey Equations
201323
5
Fuzzy Arbitrary Order System: Fuzzy Fractional Differential Equations and Applications
201622
6 201320
7 201420
8 201417
9 201714
10 20158
11 20137
12 20147
13 20196
14
New Midpoint-based Approach for the Solution of n-th Order Differential Equations.
20145
15 20175
16 20205
17 20135
18 20144
19 20144
20 20214

About Smita Tapaswini

Smita Tapaswini is a scholar working on Statistics and Probability, Modeling and Simulation, Applied Mathematics, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 292 indexed citations. Recurring topics across this work include Fuzzy Systems and Optimization (23 papers), Fractional Differential Equations Solutions (20 papers), Nonlinear Differential Equations Analysis (7 papers), Probabilistic and Robust Engineering Design (5 papers), Optimization and Mathematical Programming (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Multi-Criteria Decision Making (2 papers) and Differential Equations and Boundary Problems (2 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Statistics and Probability (199 citations), Applied Mathematics (98 citations), Numerical Analysis (32 citations) and Statistics, Probability and Uncertainty (32 citations). Smita Tapaswini has collaborated with scholars based in India, China and Jamaica. Frequent co-authors include Snehashish Chakraverty, Diptiranjan Behera, Tofigh Allahviranloo, Juan J. Nieto, Chunlai Mu and Hong‐Zhong Huang. Their work appears in journals such as Engineering Computations, Computer Modeling in Engineering & Sciences, Sadhana, Fire Safety Journal and Applied Soft Computing.

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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