Tapas Kumar Chini

57 papers receiving 1.3k citations

Peers

Tapas Kumar Chini
Comparison fields: 5 of 62
  • Computational Mechanics 559
  • Structural Biology 28
  • Electronic, Optical and Magnetic Materials 340
  • Materials Chemistry 781
  • Electrical and Electronic Engineering 730
Replace D.K. Avasthi with:
D.K. Avasthi India
Claudia S. Schnohr Germany
Yu. V. Butenko Russia
Felipe Kremer Australia
J.C. Pivin France
A. Parisini Italy
Koichi Ishida Japan
A.A. El-Barbary Egypt
C. Frigeri Italy
Gargi Raina India
Tapas Kumar Chini relative to D.K. Avasthi India D.K. Avasthi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tapas Kumar Chini

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Kumar Chini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008292
2 200494
3 200379
4 200268
5 201262
6 200460
7 200958
8 200242
9 201734
10 200834
11 200733
12 201330
13 201229
14 200526
15 200925
16 201422
17 201621
18 200121
19 201419
20 200819

About Tapas Kumar Chini

Tapas Kumar Chini is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (30 papers), Integrated Circuits and Semiconductor Failure Analysis (21 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Plasmonic and Surface Plasmon Research (10 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Diamond and Carbon-based Materials Research (8 papers), Silicon Nanostructures and Photoluminescence (6 papers) and Quantum Dots Synthesis And Properties (5 papers). The work is most often cited by research in Computational Mechanics (559 citations), Structural Biology (28 citations), Electronic, Optical and Magnetic Materials (340 citations), Materials Chemistry (781 citations) and Electrical and Electronic Engineering (730 citations). Tapas Kumar Chini has collaborated with scholars based in India, Germany and Japan. Frequent co-authors include D.P. Datta, M. K. Sanyal, S. Banerjee, S. Senthilkumaar, K. Rajendran, Vetrivel Chezian Sengodan, S. R. Bhattacharyya, F. Okuyama, Masaki Tanemura and Biswarup Satpati. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, The Journal of Physical Chemistry C, Applied Surface Science, Physical Review B and Applied Physics Letters.

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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