Tapas Sil

578 citations
31 papers · 468 indexed · h-index 11

Impact in

Papers in

Tapas Sil

30 papers receiving 457 citations

Peers

Tapas Sil
Comparison fields: 5 of 35
  • Nuclear and High Energy Physics 382
  • Modeling and Simulation 44
  • Atomic and Molecular Physics, and Optics 158
  • Geophysics 64
  • Astronomy and Astrophysics 69
Replace Ф. М. Пеньков with:
Ф. М. Пеньков Russia
G. Pantis Greece
Xue-Ren Hong China
S. Ishikawa Japan
Alfredo Raya Mexico
M. Samuel United States
Guo-Liang Ma China
J. Pišút Slovakia
Vishnu M. Bannur India
T. Numao Canada
Tapas Sil relative to Ф. М. Пеньков Russia Ф. М. Пеньков's profile →
Citations per field
00.5×5.8×
Ф. М. Пеньков · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 200564
3 200448
4 200441
5 200039
6 200127
7 200425
8 201922
9 201317
10 200216
11 201215
12 200110
13 20019
14 20057
15 19946
16 20016
17 20205
18 20124
19 19964
20 20014

About Tapas Sil

Tapas Sil is a scholar working on Modeling and Simulation, Nuclear and High Energy Physics, Numerical Analysis, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 31 papers that have together received 468 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 (8 papers), Quantum Mechanics and Non-Hermitian Physics (5 papers), Astronomical and nuclear sciences (5 papers), Quantum chaos and dynamical systems (4 papers), Nonlinear Waves and Solitons (4 papers) and Iterative Methods for Nonlinear Equations (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (382 citations), Modeling and Simulation (44 citations), Atomic and Molecular Physics, and Optics (158 citations), Geophysics (64 citations) and Astronomy and Astrophysics (69 citations). Tapas Sil has collaborated with scholars based in India, United States and Spain. Frequent co-authors include B. K. Agrawal, X. Viñas, M. Centelles, J. N. De, S. K. Samaddar, S. Shlomo, P.‐G. Reinhard, J. Piekarewicz, Pradip Bera and B. K. Sharma. Their work appears in journals such as Physics Letters B, Journal of the Physical Society of Japan, Engineering Analysis with Boundary Elements, Physics Letters A 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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