G. Jayaraman

2.1k total citations
68 papers, 1.7k citations indexed

About

G. Jayaraman is a scholar working on Computational Mechanics, Biomedical Engineering and Surgery. According to data from OpenAlex, G. Jayaraman has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 17 papers in Biomedical Engineering and 12 papers in Surgery. Recurrent topics in G. Jayaraman's work include Heat and Mass Transfer in Porous Media (15 papers), Nanofluid Flow and Heat Transfer (15 papers) and Fluid Dynamics and Turbulent Flows (14 papers). G. Jayaraman is often cited by papers focused on Heat and Mass Transfer in Porous Media (15 papers), Nanofluid Flow and Heat Transfer (15 papers) and Fluid Dynamics and Turbulent Flows (14 papers). G. Jayaraman collaborates with scholars based in India, United States and Jamaica. G. Jayaraman's co-authors include K.N. Mehta, Ranjan K. Dash, A. Sarkar, N. M. Bujurke, G. Sarojamma, Nidhi Nidhi, Neal Padmanabhan, Anumeha Dube, Ranjan K. Dash and Rahul Mehrotra and has published in prestigious journals such as Chemical Engineering Journal, Journal of Biomechanics and Journal of Applied Mechanics.

In The Last Decade

G. Jayaraman

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Jayaraman India 24 897 855 387 379 191 68 1.7k
Georgios C. Georgiou Cyprus 31 1.4k 1.6× 542 0.6× 354 0.9× 1.5k 3.9× 47 0.2× 164 2.9k
Shankar Mahalingam United States 23 571 0.6× 255 0.3× 88 0.2× 247 0.7× 32 0.2× 87 1.6k
Ömer Savaş United States 23 950 1.1× 116 0.1× 88 0.2× 89 0.2× 55 0.3× 58 1.6k
Ibrahim Hassan Canada 27 783 0.9× 495 0.6× 1.4k 3.7× 48 0.1× 20 0.1× 218 2.5k
Christian Geindreau France 29 303 0.3× 440 0.5× 317 0.8× 64 0.2× 178 0.9× 86 2.3k
Victor L. Streeter United States 16 437 0.5× 158 0.2× 607 1.6× 56 0.1× 36 0.2× 38 2.1k
F. Moukalled Lebanon 24 2.1k 2.3× 713 0.8× 769 2.0× 131 0.3× 23 0.1× 108 3.1k
Santiago Laı́n Colombia 25 1.0k 1.2× 323 0.4× 218 0.6× 23 0.1× 93 0.5× 106 1.7k
Eldad Avital United Kingdom 20 711 0.8× 183 0.2× 108 0.3× 38 0.1× 44 0.2× 136 1.6k
Stavros Tavoularis Canada 31 2.7k 3.0× 685 0.8× 617 1.6× 157 0.4× 19 0.1× 142 3.4k

Countries citing papers authored by G. Jayaraman

Since Specialization
Citations

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

Fields of papers citing papers by G. Jayaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Jayaraman

This figure shows the co-authorship network connecting the top 25 collaborators of G. Jayaraman. A scholar is included among the top collaborators of G. Jayaraman 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 G. Jayaraman. G. Jayaraman 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.
Kumar, Sushil & G. Jayaraman. (2012). Method of Moments for Estimating Two-Dimensional Laminar Dispersion in Curved Channels. 3(1). 116–133. 1 indexed citations
2.
Waters, Sarah L., Jordi Alastruey, Daniel Beard, et al.. (2010). Theoretical models for coronary vascular biomechanics: Progress & challenges. Progress in Biophysics and Molecular Biology. 104(1-3). 49–76. 51 indexed citations
3.
Jayaraman, G., Sunita Kumari, & Malti Goel. (2007). Seasonal Variation And Dependence On Meteorological Condition Of Roadside Suspended Particles/Pollutants At Delhi. 2(2). 6 indexed citations
4.
Agarwal, Rachna, G. Jayaraman, Sneh Anand, & P Marimuthu. (2006). Assessing Respiratory Morbidity Through Pollution Status and Meteorological Conditions for Delhi. Environmental Monitoring and Assessment. 114(1-3). 489–504. 57 indexed citations
5.
Sarkar, A. & G. Jayaraman. (2004). The effect of wall absorption on dispersion in oscillatory flow in an annulus: application to a catheterized artery. Acta Mechanica. 172(3-4). 151–167. 46 indexed citations
6.
Sarojamma, G., et al.. (2004). Effect of Boundary Absorption in Dispersion in Casson Fluid Flow in a Tube. Annals of Biomedical Engineering. 32(5). 706–719. 62 indexed citations
7.
Rai, Vikas & G. Jayaraman. (2003). Is diffusion-induced chaos robust?. Current Science. 84(7). 925–929. 10 indexed citations
8.
Iyengar, Satteluri R. K., G. Jayaraman, & Vidhya Balasubramanian. (2000). Variable mesh difference schemes for solving a nonlinear Schrödinger equation with a linear damping term. Computers & Mathematics with Applications. 40(12). 1375–1385. 17 indexed citations
9.
Dash, Ranjan K., G. Jayaraman, & K.N. Mehta. (2000). Shear Augmented Dispersion of a Solute in a Casson Fluid Flowing in a Conduit. Annals of Biomedical Engineering. 28(4). 373–385. 62 indexed citations
10.
Sarkar, A. & G. Jayaraman. (1998). Correction to flow rate — pressure drop relation in coronary angioplasty: steady streaming effect. Journal of Biomechanics. 31(9). 781–791. 57 indexed citations
11.
Balasubramanian, Vidhya, G. Jayaraman, & Satteluri R. K. Iyengar. (1997). Effect of secondary flows on contaminant dispersion with weak boundary absorption. Applied Mathematical Modelling. 21(5). 275–285. 16 indexed citations
12.
Sengupta, Amit, et al.. (1997). Understanding utero-placental blood flow in normal and hypertensive pregnancy through a mathematical model. Medical & Biological Engineering & Computing. 35(3). 223–230. 13 indexed citations
13.
Dash, Ranjan K., G. Jayaraman, & K.N. Mehta. (1996). Estimation of increased flow resistance in a narrow catheterized artery — a theoretical model. Journal of Biomechanics. 29(7). 917–930. 86 indexed citations
14.
Dhar, Purbarun, et al.. (1996). Effect of pressure on transmural fluid flow in different de-endothelialised arteries. Medical & Biological Engineering & Computing. 34(2). 155–159. 6 indexed citations
15.
Jayaraman, G., et al.. (1995). Flow in catheterised curved artery. Medical & Biological Engineering & Computing. 33(5). 720–724. 31 indexed citations
16.
Jayaraman, G., et al.. (1994). Sodium ion transport in the intestinal wall: A mathematical model. Mathematical Medicine and Biology A Journal of the IMA. 11(3). 193–205. 1 indexed citations
17.
Jayaraman, G., et al.. (1994). Numerical simulation of dispersion in the flow of power law fluids in curved tubes. Applied Mathematical Modelling. 18(9). 504–512. 25 indexed citations
18.
Bujurke, N. M., N. B. Naduvinamani, & G. Jayaraman. (1991). Theoretical modelling of poro-elastic slider bearings libricated by couple stress fluid with special reference to synovial joints. Applied Mathematical Modelling. 15(6). 319–324. 14 indexed citations
19.
Jayaraman, G., et al.. (1988). Linear Diffusion of Lead in the Intestinal Wall: A Theoretical Study. Mathematical Medicine and Biology A Journal of the IMA. 5(1). 33–43. 5 indexed citations
20.
Ghista, Dhanjoo N., G. Jayaraman, & H. Sandler. (1978). Analysis for the non-invasive determination of arterial properties and for the transcutaneous continuous monitoring of arterial blood pressure. Medical & Biological Engineering & Computing. 16(6). 715–726. 8 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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