Shailesh Naire

499 total citations
27 papers, 390 citations indexed

About

Shailesh Naire is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shailesh Naire has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 10 papers in Fluid Flow and Transfer Processes and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shailesh Naire's work include Fluid Dynamics and Thin Films (15 papers), Rheology and Fluid Dynamics Studies (10 papers) and Fluid Dynamics and Heat Transfer (9 papers). Shailesh Naire is often cited by papers focused on Fluid Dynamics and Thin Films (15 papers), Rheology and Fluid Dynamics Studies (10 papers) and Fluid Dynamics and Heat Transfer (9 papers). Shailesh Naire collaborates with scholars based in United Kingdom, United States and Japan. Shailesh Naire's co-authors include Oliver E. Jensen, Richard Braun, Steven A. Snow, Abdulghani Alharbi, R. Usha, Sarah H. Cartmell, David Halpern, Donald P. Gaver, Sarah Griffiths and Araida Hidalgo‐Bastida and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Applied Physiology and Journal of Colloid and Interface Science.

In The Last Decade

Shailesh Naire

27 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailesh Naire United Kingdom 14 175 103 51 50 46 27 390
Hengdi Zhang China 10 93 0.5× 159 1.5× 52 1.0× 61 1.2× 11 0.2× 22 495
Haruyuki Kinoshita Japan 13 219 1.3× 537 5.2× 55 1.1× 30 0.6× 56 1.2× 40 730
Masamichi Oishi Japan 14 165 0.9× 349 3.4× 23 0.5× 23 0.5× 47 1.0× 50 591
Jorge E. Gatica United States 14 140 0.8× 139 1.3× 6 0.1× 88 1.8× 11 0.2× 35 510
Berkin Dortdivanlioglu United States 12 77 0.4× 108 1.0× 20 0.4× 32 0.6× 11 0.2× 22 303
Luca Lanotte France 12 108 0.6× 220 2.1× 299 5.9× 41 0.8× 115 2.5× 28 665
Hyung Kyu Huh South Korea 9 121 0.7× 127 1.2× 27 0.5× 20 0.4× 20 0.4× 20 340
K. Kannan India 11 60 0.3× 228 2.2× 23 0.5× 64 1.3× 93 2.0× 33 380
Tetsuya Yano Japan 12 39 0.2× 281 2.7× 66 1.3× 92 1.8× 7 0.2× 52 590

Countries citing papers authored by Shailesh Naire

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh Naire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailesh Naire

This figure shows the co-authorship network connecting the top 25 collaborators of Shailesh Naire. A scholar is included among the top collaborators of Shailesh Naire 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 Shailesh Naire. Shailesh Naire 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
1.
Naire, Shailesh, et al.. (2023). The thermo-viscous fingering instability of a cooling spreading liquid dome. Physics of Fluids. 35(11). 2 indexed citations
2.
Naire, Shailesh, et al.. (2022). Non-Newtonian and viscoplastic models of a vertically aligned thick liquid film draining due to gravity. Physics of Fluids. 34(1). 3 indexed citations
3.
Alharbi, Abdulghani & Shailesh Naire. (2019). An adaptive moving mesh method for two-dimensional thin film flow equations with surface tension. Journal of Computational and Applied Mathematics. 356. 219–230. 24 indexed citations
4.
Naire, Shailesh, et al.. (2019). A mathematical model of cartilage regeneration after chondrocyte and stem cell implantation – I: the effects of growth factors. Journal of Tissue Engineering. 10. 2751557199–2751557199. 11 indexed citations
5.
Alharbi, Abdulghani & Shailesh Naire. (2017). An adaptive moving mesh method for thin film flow equations with surface tension. Journal of Computational and Applied Mathematics. 319. 365–384. 24 indexed citations
6.
Lally, Frank, Sanjeev Nayak, Changez Jadun, et al.. (2015). In vitro experiments of cerebral blood flow during aspiration thrombectomy: potential effects on cerebral perfusion pressure and collateral flow. Journal of NeuroInterventional Surgery. 8(9). 969–972. 24 indexed citations
7.
Naire, Shailesh, et al.. (2011). A mathematical model of cartilage regeneration after cell therapy. Journal of Theoretical Biology. 289. 136–150. 19 indexed citations
8.
Hidalgo‐Bastida, Araida, et al.. (2011). Modeling and design of optimal flow perfusion bioreactors for tissue engineering applications. Biotechnology and Bioengineering. 109(4). 1095–1099. 29 indexed citations
9.
Whittaker, Robert J., Rosemary Dyson, Louise Chini, et al.. (2008). Mathematical modelling of fibre-enhanced perfusion inside a tissue-engineering bioreactor. Journal of Theoretical Biology. 256(4). 533–546. 31 indexed citations
10.
Naire, Shailesh. (2008). Dynamics of Voluntary Cough Maneuvers: A Theoretical Model. Journal of Biomechanical Engineering. 131(1). 11010–11010. 2 indexed citations
11.
Cartmell, Sarah H., Louise Chini, L. J. Cummings, et al.. (2006). Optimisation of Fluid Distribution Inside a Porous Construct. Research Explorer (The University of Manchester). 2 indexed citations
12.
Jensen, Oliver E. & Shailesh Naire. (2006). The spreading and stability of a surfactant-laden drop on a prewetted substrate. Journal of Fluid Mechanics. 554. 5–24. 30 indexed citations
13.
Naire, Shailesh & Oliver E. Jensen. (2005). Epithelial cell deformation during surfactant-mediated airway reopening: a theoretical model. Journal of Applied Physiology. 99(2). 458–471. 22 indexed citations
14.
Naire, Shailesh, Richard Braun, & Steven A. Snow. (2003). A 2+1 dimensional insoluble surfactant model for a vertical draining free film. Journal of Computational and Applied Mathematics. 166(2). 385–410. 7 indexed citations
15.
Braun, Richard, et al.. (2002). Hydrodynamics of a Bounded Vertical Film with Nonlinear Surface Properties. Journal of Colloid and Interface Science. 253(2). 295–307. 6 indexed citations
16.
Naire, Shailesh, Richard Braun, & Steven A. Snow. (2001). An insoluble surfactant model for a vertical draining free film with variable surface viscosity. Physics of Fluids. 13(9). 2492–2502. 24 indexed citations
17.
Braun, Richard, Shailesh Naire, & Steven A. Snow. (2000). Limiting Cases of Gravitational Drainage of a Vertical Free Film for Evaluating Surfactants. SIAM Journal on Applied Mathematics. 61(3). 889–913. 22 indexed citations
18.
Naire, Shailesh, Richard Braun, & Steven A. Snow. (2000). An Insoluble Surfactant Model for a Vertical Draining Free Film. Journal of Colloid and Interface Science. 230(1). 91–106. 20 indexed citations
19.
Naire, Shailesh, Richard Braun, & Steven A. Snow. (1999). Gravitationally-Driven Drainage of Thin Films. APS. 1 indexed citations
20.
Naire, Shailesh, Richard Braun, & Steven A. Snow. (1998). Insoluble Surfactant Model for Draining Film with Surface Viscosity. APS Division of Fluid Dynamics Meeting Abstracts. 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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