D. Das

51.1k citations
25 papers · 71 · h-index 5

Impact in

Papers in

    • Particle physics theoretical and experimental studies 12
    • Quantum Chromodynamics and Particle Interactions 11
    • High-Energy Particle Collisions Research 11
    • Iterative Methods for Nonlinear Equations 2

D. Das

21 papers receiving 65 citations

Peers

D. Das
Comparison fields: 5 of 45
  • Nuclear and High Energy Physics 27
  • Renewable Energy, Sustainability and the Environment 15
  • Animal Science and Zoology 7
  • Filtration and Separation 1
  • Modeling and Simulation 2
Replace F. Khanam with:
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D. Das relative to F. Khanam Japan F. Khanam's profile →
Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by D. Das

Since Specialization
Citations

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

Fields of papers citing papers by D. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202318
2 20087
3 20147
4 20115
5 20094
6 20153
7 20123
8 19863
9 20043
10 20132
11 20142
12 20132
13 20192
14 19922
15 20201
16 20201
17 20221
18 20071
19 20101
20 20221

About D. Das

D. Das is a scholar working on Nuclear and High Energy Physics, Numerical Analysis, Animal Science and Zoology, Genetics and Aerospace Engineering, having authored 25 papers that have together received 71 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (11 papers), High-Energy Particle Collisions Research (11 papers), Iterative Methods for Nonlinear Equations (2 papers), Genetic and phenotypic traits in livestock (2 papers), Nuclear Materials and Properties (2 papers), Nuclear reactor physics and engineering (2 papers) and Electromagnetic Scattering and Analysis (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (27 citations), Renewable Energy, Sustainability and the Environment (15 citations), Animal Science and Zoology (7 citations), Filtration and Separation (1 citation) and Modeling and Simulation (2 citations). D. Das has collaborated with scholars based in India and United States. Frequent co-authors include Vishal Trivedi, Leonard S. Kisslinger, Dilip K. Hazra, S. Chattopadhyay, T. Sinha, S.P. Garg, M. Irfan, I. Das, Bikash Sinha and Jia Wang. Their work appears in journals such as Nuclear Physics A, Process Biochemistry, Journal of Physics G Nuclear and Particle Physics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and The European Physical Journal C.

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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