Ashish Ashish

439 citations
50 papers · 308 indexed · h-index 9

Impact in

Papers in

Ashish Ashish

45 papers receiving 277 citations

Peers

Ashish Ashish
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 139
  • Mathematical Physics 79
  • Geometry and Topology 43
  • Numerical Analysis 24
  • Modeling and Simulation 18
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Citations per field
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Citations per year

Countries citing papers authored by Ashish Ashish

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Ashish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20240
4 20242
5 20232
6 20221
7 20221
8 20227
9 20217
10 20212
11 20201
12 20163
13
Influence of the SNPs on the structural stability of CBS protein: Insight from molecular dynamics simulations
20141
14 20141
15 20133
16 20125
17
Structural Health Monitoring for Bell 407 Tail Boom
20093
18
Development Testing of the Sikorsky X2 Technology Demonstrator
20098
19
Anti-HBc screening in Indian blood donors:Still an unresolved issue
20081
20 200714

About Ashish Ashish

Ashish Ashish is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Applied Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 308 indexed citations. Recurring topics across this work include Chaos control and synchronization (17 papers), Quantum chaos and dynamical systems (10 papers), Functional Equations Stability Results (9 papers), Mathematical Dynamics and Fractals (8 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Mathematical Theories and Applications (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Digital Transformation in Industry (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (139 citations), Mathematical Physics (79 citations), Geometry and Topology (43 citations), Numerical Analysis (24 citations) and Modeling and Simulation (18 citations). Ashish Ashish has collaborated with scholars based in India, China and South Korea. Frequent co-authors include Renu Chugh, Jinde Cao, Mamta Rani, Y. N. Mohapatra, Awnish Kumar Tripathi, Fawaz E. Alsaadi, R. Kishore, Ayyappanpillai Ajayaghosh, Renu - and Alessio Suman. Their work appears in journals such as International Journal of Bifurcation and Chaos, Macromolecules, European Journal of Biochemistry, Nonlinear Dynamics and Organic Electronics.

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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