G. Dharmaiah

1.7k total citations · 1 hit paper
72 papers, 1.3k citations indexed

About

G. Dharmaiah is a scholar working on Biomedical Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, G. Dharmaiah has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomedical Engineering, 54 papers in Computational Mechanics and 50 papers in Mechanical Engineering. Recurrent topics in G. Dharmaiah's work include Nanofluid Flow and Heat Transfer (66 papers), Fluid Dynamics and Turbulent Flows (43 papers) and Heat Transfer Mechanisms (41 papers). G. Dharmaiah is often cited by papers focused on Nanofluid Flow and Heat Transfer (66 papers), Fluid Dynamics and Turbulent Flows (43 papers) and Heat Transfer Mechanisms (41 papers). G. Dharmaiah collaborates with scholars based in India, Russia and United States. G. Dharmaiah's co-authors include K. S. Balamurugan, Samad Noeiaghdam, Fateh Mebarek‐Oudina, J. L. Rama Prasad, Saeed Dinarvand, B. Shankar Goud, Unai Fernández‐Gámiz, Shaik Mohammed Ibrahim, A. I. Ismail and Maddina Dinesh Kumar and has published in prestigious journals such as Physics of Fluids, Journal of Molecular Liquids and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

G. Dharmaiah

62 papers receiving 1.1k citations

Hit Papers

Nuclear reactor application on Jeffrey fluid flow with Fa... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Dharmaiah India 21 1.2k 837 819 98 53 72 1.3k
Rahila Naz Pakistan 23 1.3k 1.1× 1000 1.2× 1.0k 1.2× 151 1.5× 60 1.1× 43 1.5k
Shafiq Ahmad Pakistan 27 1.6k 1.4× 1.1k 1.3× 1.4k 1.7× 78 0.8× 52 1.0× 48 1.7k
S. V. K. Varma India 20 1.3k 1.1× 1.0k 1.2× 988 1.2× 63 0.6× 46 0.9× 136 1.4k
Mahnoor Sarfraz Pakistan 28 1.2k 1.0× 758 0.9× 869 1.1× 91 0.9× 70 1.3× 55 1.3k
M. Muthtamilselvan India 20 1.3k 1.1× 970 1.2× 1.0k 1.2× 58 0.6× 55 1.0× 112 1.4k
Farhan Ali Pakistan 23 1.6k 1.4× 1.1k 1.3× 1.2k 1.5× 116 1.2× 115 2.2× 74 1.8k
Himanshu Upreti India 25 1.6k 1.4× 1.1k 1.3× 1.2k 1.5× 111 1.1× 105 2.0× 60 1.7k
Muhammad Bilal Arain China 13 697 0.6× 480 0.6× 521 0.6× 56 0.6× 52 1.0× 35 825
Rachid Sehaqui Morocco 20 1.6k 1.3× 1.2k 1.4× 1.3k 1.5× 123 1.3× 89 1.7× 47 1.7k
M. Bhuvaneswari Saudi Arabia 24 1.5k 1.2× 1.1k 1.3× 1.1k 1.4× 72 0.7× 51 1.0× 80 1.6k

Countries citing papers authored by G. Dharmaiah

Since Specialization
Citations

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

Fields of papers citing papers by G. Dharmaiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Dharmaiah. A scholar is included among the top collaborators of G. Dharmaiah 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. Dharmaiah. G. Dharmaiah 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, Maddina Dinesh, G. Dharmaiah, Se‐Jin Yook, C. S. K. Raju, & Nehad Ali Shah. (2025). Optimising thermal performance of water-based hybrid nanofluids with magnetic and radiative effects over a spinning disc. Chemometrics and Intelligent Laboratory Systems. 258. 105336–105336. 9 indexed citations
2.
Kumar, Maddina Dinesh, G. Dharmaiah, Se‐Jin Yook, C. S. K. Raju, & Nehad Ali Shah. (2025). Deep learning approach for predicting heat transfer in water-based hybrid nanofluid thin film flow and optimization via response surface methodology. Case Studies in Thermal Engineering. 68. 105930–105930. 10 indexed citations
3.
Shah, Nehad Ali, Khalid Masood, Maddina Dinesh Kumar, B. C. Prasannakumara, & G. Dharmaiah. (2025). Analysis of Von Karman transport considering Stefan blowing, isotropic slip and motile density: Adaptive neuro-fuzzy inference system and optimisation of particle swarms. Engineering Applications of Artificial Intelligence. 163. 113093–113093.
5.
Dharmaiah, G., J. L. Rama Prasad, C. Ramprasad, et al.. (2025). Execution of Bioconvective Radiative Dissipative Non-Newtonian Magnetohydrodynamic Flow Comprising Stratification with BVP4C Approach Configured with Vertical Plane. Computer Modeling in Engineering & Sciences. 142(2). 2019–2044. 1 indexed citations
7.
Kumar, Maddina Dinesh, Nehad Ali Shah, G. Dharmaiah, & Se‐Jin Yook. (2025). Optimization and classification of thermal transport on a convective surface with non-uniformly shaped ternary hybrid nanofluid flows. Engineering Applications of Artificial Intelligence. 157. 111391–111391. 5 indexed citations
8.
Kumar, Maddina Dinesh, S. Suresh, G. Dharmaiah, & Muneerah Al Nuwairan. (2024). Dynamics of non-Newtonian Casson fluid and Cattaneo-Christov heat flux impacts on a rotating non-uniform surface due to Coriolis force: A comparison study of ANFIS-PSO and ANN. Results in Engineering. 23. 102653–102653. 13 indexed citations
9.
Ali, Aatif, Zeeshan Khan, Muhammad Bilal Riaz, et al.. (2024). Neural network analysis of bioconvection effects on heat and mass transfer in Non-Newtonian chemically reactive nanofluids. Case Studies in Thermal Engineering. 64. 105534–105534. 19 indexed citations
10.
Afridi, Muhammad Idrees, et al.. (2024). Theoretical analysis of MHD Maxwell two phase nano flow subject to viscous dissipation and chemical reaction: A nonsimilar approach. Case Studies in Thermal Engineering. 65. 105688–105688. 9 indexed citations
12.
Kumar, Maddina Dinesh, José Luis Díaz Palencia, G. Dharmaiah, et al.. (2024). ANFIS-PSO analysis on axisymmetric tetra hybrid nanofluid flow of Cu-CNT-Graphene-Tio2 with WEG-Blood under linear thermal radiation and inclined magnetic field: A bio-medicine application. Heliyon. 11(1). e41429–e41429. 6 indexed citations
14.
Swain, Kharabela, Shaik Mohammed Ibrahim, G. Dharmaiah, & Samad Noeiaghdam. (2023). Numerical study of nanoparticles aggregation on radiative 3D flow of maxwell fluid over a permeable stretching surface with thermal radiation and heat source/sink. Results in Engineering. 19. 101208–101208. 56 indexed citations
18.
Dharmaiah, G., et al.. (2023). Nuclear reactor application on Jeffrey fluid flow with Falkner-skan factor, Brownian and thermophoresis, non linear thermal radiation impacts past a wedge. Journal of the Indian Chemical Society. 100(2). 100907–100907. 94 indexed citations breakdown →
19.
Elboughdiri, Noureddine, G. Dharmaiah, J. L. Rama Prasad, et al.. (2023). Analysis of a Ferromagnetic Nanofluid Saturating a Porous Medium with Nield’s Boundary Conditions. Mathematics. 11(22). 4579–4579. 10 indexed citations
20.
Dharmaiah, G., et al.. (2016). Chemical Reaction and Soret Effects on Casson Mhd Fluid Flow Over a Vertical Plate. International Journal of Chemical Sciences. 14(1). 213–221. 7 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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