Devansh Agarwal

926 citations
18 papers · 525 · h-index 11

Impact in

Papers in

Devansh Agarwal

17 papers receiving 480 citations

Peers

Devansh Agarwal
Comparison fields: 5 of 67
  • Astronomy and Astrophysics 272
  • Filtration and Separation 32
  • Fluid Flow and Transfer Processes 67
  • Statistical and Nonlinear Physics 71
  • Nuclear and High Energy Physics 47
Replace G. Bader with:
G. Bader Germany
J. A. Rueda Italy
Sachiko K. Okumura Japan
Jason Kaye United States
Daniel R. Reynolds United States
Govind Menon United States
Mofreh R. Zaghloul United Arab Emirates
Vladimir Kouprianov United States
Jiaqiang Zhong China
C. Plumpton United Kingdom
Devansh Agarwal relative to G. Bader Germany G. Bader's profile →
Citations per field
00.5×10×16×
G. Bader · 1×
Citations per year

Countries citing papers authored by Devansh Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Devansh Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020146
2 202085
3 202073
4 202368
5 197328
6 202022
7 197622
8 197920
9 201914
10 201912
11 197610
12 19738
13 20196
14 20204
15 20204
16 20192
17 20171
18 19730

About Devansh Agarwal

Devansh Agarwal is a scholar working on Astronomy and Astrophysics, Fluid Flow and Transfer Processes, Filtration and Separation, Organic Chemistry and Artificial Intelligence, having authored 18 papers that have together received 525 indexed citations. Recurring topics across this work include Pulsars and Gravitational Waves Research (9 papers), Gamma-ray bursts and supernovae (6 papers), Radio Astronomy Observations and Technology (5 papers), Thermodynamic properties of mixtures (5 papers), Chemical and Physical Properties in Aqueous Solutions (4 papers), Astrophysical Phenomena and Observations (3 papers), Ionic liquids properties and applications (3 papers) and Astrophysics and Cosmic Phenomena (2 papers). The work is most often cited by research in Astronomy and Astrophysics (272 citations), Filtration and Separation (32 citations), Fluid Flow and Transfer Processes (67 citations), Statistical and Nonlinear Physics (71 citations) and Nuclear and High Energy Physics (47 citations). Devansh Agarwal has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include D. R. Lorimer, Ram Gopal, K.K. Aggarwal, Sarah Burke-Spolaor, A. Karastergiou, Kaustubh Rajwade, Marios Mattheakis, Manisha Caleb, C. Bassa and David Sondak. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, The Journal of Chemical Thermodynamics, Journal of Chemical & Engineering Data, Bulletin of the Chemical Society of Japan and Zeitschrift für Physikalische Chemie.

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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