Sayak Banerjee

975 total citations · 1 hit paper
22 papers, 737 citations indexed

About

Sayak Banerjee is a scholar working on Computational Mechanics, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sayak Banerjee has authored 22 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 12 papers in Biomedical Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Sayak Banerjee's work include Nanomaterials and Printing Technologies (9 papers), Advanced Combustion Engine Technologies (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (7 papers). Sayak Banerjee is often cited by papers focused on Nanomaterials and Printing Technologies (9 papers), Advanced Combustion Engine Technologies (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (7 papers). Sayak Banerjee collaborates with scholars based in India and United States. Sayak Banerjee's co-authors include Saravanan Balusamy, Kirti Chandra Sahu, Hai Wang, Craig T. Bowman, Runhua Zhao, David F. Davidson, Dong Joon Lee, Yangye Zhu, Ashkan Movaghar and Yang Gao and has published in prestigious journals such as Langmuir, International Journal of Heat and Mass Transfer and Energy Conversion and Management.

In The Last Decade

Sayak Banerjee

21 papers receiving 715 citations

Hit Papers

A physics-based approach ... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A physics-based approach to modeling real-fuel combustion chemistry – II. Reaction kinetic models of jet and rocket fuels
    2018 264 citations Rui Xu, Kun Wang et al. Combustion and Flame profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sayak Banerjee India 13 428 305 232 212 123 22 737
Hong-Na Zhang China 15 265 0.6× 160 0.5× 303 1.3× 77 0.4× 47 0.4× 68 631
Enrique Ramé United States 17 586 1.4× 106 0.3× 118 0.5× 113 0.5× 132 1.1× 41 892
Nikolaos Malamataris Greece 14 508 1.2× 163 0.5× 137 0.6× 27 0.1× 61 0.5× 34 709
Byoungjin Chun South Korea 10 348 0.8× 49 0.2× 338 1.5× 239 1.1× 20 0.2× 28 702
Jianzhong Chang China 12 644 1.5× 43 0.1× 124 0.5× 60 0.3× 24 0.2× 25 849
Hong-Na Zhang China 15 267 0.6× 146 0.5× 250 1.1× 29 0.1× 51 0.4× 42 661
Yasuya Nakayama Japan 14 376 0.9× 150 0.5× 248 1.1× 109 0.5× 7 0.1× 45 789
O. Wein Czechia 12 196 0.5× 161 0.5× 243 1.0× 85 0.4× 30 0.2× 79 529
Z. Dagan United States 13 308 0.7× 59 0.2× 240 1.0× 57 0.3× 23 0.2× 20 550
Alejandro M. Briones United States 17 686 1.6× 396 1.3× 67 0.3× 154 0.7× 239 1.9× 68 835

Countries citing papers authored by Sayak Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Sayak Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayak Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sayak Banerjee. A scholar is included among the top collaborators of Sayak Banerjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sayak Banerjee. Sayak Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Balusamy, Saravanan, et al.. (2024). Intricate Evaporation Dynamics in Different Multidroplet Configurations. Langmuir. 40(35). 18555–18567. 3 indexed citations
4.
Banerjee, Sayak, et al.. (2023). Stability and Retention Force Factor for Binary-Nanofluid Sessile Droplets on an Inclined Substrate. Industrial & Engineering Chemistry Research. 3 indexed citations
5.
6.
Balusamy, Saravanan, et al.. (2022). Evaporation of pure and binary droplets on curved substrates. International Journal of Heat and Mass Transfer. 196. 123212–123212. 6 indexed citations
7.
Balusamy, Saravanan, et al.. (2022). Counter-Intuitive Evaporation in Nanofluids Droplets due to Stick-Slip Nature. Langmuir. 38(49). 15361–15371. 12 indexed citations
8.
Balusamy, Saravanan, et al.. (2021). Evaporation Dynamics of a Sessile Droplet of Binary Mixture Laden with Nanoparticles. Langmuir. 37(20). 6311–6321. 36 indexed citations
9.
Balusamy, Saravanan, et al.. (2021). A Review on the Evaporation Dynamics of Sessile Drops of Binary Mixtures: Challenges and Opportunities. Fluid dynamics & materials processing. 17(2). 253–284. 15 indexed citations
10.
Banerjee, Sayak, et al.. (2021). Fluid dynamics of respiratory droplets in the context of COVID-19: Airborne and surfaceborne transmissions. Physics of Fluids. 33(8). 81302–81302. 58 indexed citations
11.
Balusamy, Saravanan, et al.. (2020). INVESTIGATION OF LPG SOOTING DIFFUSION FLAME BY RAINBOW SCHLIEREN DEFLECTOMETRY. Journal of Flow Visualization and Image Processing. 27(3). 297–318. 2 indexed citations
12.
Banerjee, Sayak, et al.. (2020). An experimental and kinetic modeling study of gasoline/lemon peel oil blends for PFI engine. Fuel. 267. 117189–117189. 27 indexed citations
13.
Balusamy, Saravanan, et al.. (2020). Evaporation of sessile ethanol-water droplets on a critically inclined heated surface. International Journal of Multiphase Flow. 131. 103368–103368. 40 indexed citations
14.
Balusamy, Saravanan, et al.. (2020). An investigation into LPG Sooting Diffusion Flame with Rainbow Schlieren Deflectometry. Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad). 1 indexed citations
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16.
Xu, Rui, Kun Wang, Sayak Banerjee, et al.. (2018). A physics-based approach to modeling real-fuel combustion chemistry – II. Reaction kinetic models of jet and rocket fuels. Combustion and Flame. 193. 520–537. 264 indexed citations breakdown →
17.
Banerjee, Sayak, et al.. (2018). Experimental and chemical kinetic study of the impact of n-butanol blending on the gross engine performance of a CRDI engine. Energy Conversion and Management. 178. 400–414. 14 indexed citations
18.
Banerjee, Sayak, et al.. (2015). An experimental and kinetic modeling study of n-dodecane pyrolysis and oxidation. Combustion and Flame. 163. 12–30. 71 indexed citations
19.
Mukhopadhyay, Achintya, et al.. (2008). Fully developed hydrodynamic and thermal transport in combined pressure and electrokinetically driven flow in a microchannel with asymmetric boundary conditions. International Journal of Heat and Mass Transfer. 52(7-8). 2145–2154. 33 indexed citations
20.
Banerjee, Sayak, Daniel Laser, Mehdi Asheghi, et al.. (2000). A Micro Heat Exchanger with Integrated Heaters and Thermometers. 275–280. 1 indexed citations

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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