Subir Das

4.1k citations
203 papers · 3.5k · h-index 30

Impact in

Papers in

Subir Das

197 papers receiving 3.4k citations

Peers

Subir Das
Comparison fields: 5 of 90
  • Modeling and Simulation 1.4k
  • Numerical Analysis 822
  • Statistical and Nonlinear Physics 1.4k
  • Computer Networks and Communications 1.0k
  • Applied Mathematics 355
Replace Ricardo Fabricio Escobar Jiménez with:
Ricardo Fabricio Escobar Jiménez Mexico
Feng Qi Gao China
Kourosh Parand Iran
Jocelyn Sabatier France
Ronald L. Bagley United States
Carl F. Lorenzo United States
Teodor M. Atanacković Serbia
Marina Vyacheslavovna Shitikova Russia
Vincent J. Ervin United States
P. V. P. Renu Prakash India
Subir Das relative to Ricardo Fabricio Escobar Jiménez Mexico Ricardo Fabricio Escobar Jiménez's profile →
Citations per field
00.5×2×4×6.5×
Ricardo Fabricio Escobar Jiménez · 1×
Citations per year

Countries citing papers authored by Subir Das

Since Specialization
Citations

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

Fields of papers citing papers by Subir Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subir Das, 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 Subir Das Line = papers co-authored together Subir Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009205
2 2008179
3 2012164
4 2011144
5 201397
6 201172
7 201154
8 200950
9 201649
10 200849
11 201948
12 201347
13 201147
14 201944
15 197244
16 201744
17 201044
18 197141
19 200939
20 202239

About Subir Das

Subir Das is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Mechanics of Materials and Computer Networks and Communications, having authored 203 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (69 papers), Numerical methods in engineering (51 papers), Nonlinear Dynamics and Pattern Formation (41 papers), Chaos control and synchronization (40 papers), Neural Networks Stability and Synchronization (36 papers), Differential Equations and Numerical Methods (31 papers), Iterative Methods for Nonlinear Equations (27 papers) and Fatigue and fracture mechanics (22 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Numerical Analysis (822 citations), Statistical and Nonlinear Physics (1.4k citations), Computer Networks and Communications (1.0k citations) and Applied Mathematics (355 citations). Subir Das has collaborated with scholars based in India, Malaysia and Romania. Frequent co-authors include Praveen Kumar Gupta, Vijay Kumar Yadav, Mayank Srivastava, Saurabh Kumar Agrawal, Dharmendra Tripathi, Sanjay Kumar Pandey, Rakesh Kumar, Rajeev Rajeev, Hossein Jafari and S. H. Ong. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Engineering Science, Mathematical Methods in the Applied Sciences, Communications in Nonlinear Science and Numerical Simulation and Applied Mathematics and Computation.

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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