Tapas Sil

589 citations
33 papers · 479 · h-index 11

Impact in

Papers in

Tapas Sil

31 papers receiving 472 citations

Peers

Tapas Sil
Comparison fields: 5 of 36
  • Nuclear and High Energy Physics 387
  • Modeling and Simulation 48
  • Atomic and Molecular Physics, and Optics 160
  • Geophysics 66
  • Astronomy and Astrophysics 70
Replace Hesham Mansour with:
Hesham Mansour Egypt
Ф. М. Пеньков Russia
Xue-Ren Hong China
G. Pantis Greece
Alfredo Raya Mexico
S. Ishikawa Japan
M. Samuel United States
J. Pišút Slovakia
Guo-Liang Ma China
Timothy L. Barklow United States
Tapas Sil relative to Hesham Mansour Egypt Hesham Mansour's profile →
Citations per field
00.5×
Hesham Mansour · 1×
Citations per year

Countries citing papers authored by Tapas Sil

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Sil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Tapas Sil, 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 Tapas Sil Line = papers co-authored together Tapas Sil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 200566
3 200451
4 200441
5 200038
6 200127
7 200426
8 201923
9 201317
10 201216
11 200216
12 200110
13 20019
14 20057
15 20206
16 19946
17 20016
18 20124
19 19964
20 20014

About Tapas Sil

Tapas Sil is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Modeling and Simulation and Numerical Analysis, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Nuclear physics research studies (17 papers), Quantum Chromodynamics and Particle Interactions (13 papers), Fractional Differential Equations Solutions (9 papers), Iterative Methods for Nonlinear Equations (5 papers), Astronomical and nuclear sciences (5 papers), Quantum Mechanics and Non-Hermitian Physics (5 papers), Quantum chaos and dynamical systems (4 papers) and Nonlinear Waves and Solitons (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (387 citations), Modeling and Simulation (48 citations), Atomic and Molecular Physics, and Optics (160 citations), Geophysics (66 citations) and Astronomy and Astrophysics (70 citations). Tapas Sil has collaborated with scholars based in India, United States and Spain. Frequent co-authors include B. K. Agrawal, M. Centelles, X. Viñas, J. N. De, S. K. Samaddar, S. Shlomo, P.‐G. Reinhard, J. Piekarewicz, B. K. Sharma and Pradip Bera. Their work appears in journals such as Journal of the Physical Society of Japan, Physics Letters B, Physics Letters A, Applied Mathematics and Computation and Engineering Analysis with Boundary Elements.

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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