Shaik Jakeer

1.1k total citations
50 papers, 866 citations indexed

About

Shaik Jakeer is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Shaik Jakeer has authored 50 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 40 papers in Mechanical Engineering and 27 papers in Computational Mechanics. Recurrent topics in Shaik Jakeer's work include Nanofluid Flow and Heat Transfer (47 papers), Heat Transfer Mechanisms (36 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Shaik Jakeer is often cited by papers focused on Nanofluid Flow and Heat Transfer (47 papers), Heat Transfer Mechanisms (36 papers) and Fluid Dynamics and Turbulent Flows (23 papers). Shaik Jakeer collaborates with scholars based in India, Saudi Arabia and South Korea. Shaik Jakeer's co-authors include P. Bala Anki Reddy, Seethi Reddy Reddisekhar Reddy, A. M. Rashad, Hossam A. Nabwey, H. Thameem Basha, T. Salah, V E Sathishkumar, M. A. Mansour, Jaehyuk Cho and Youssef Trabelsi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Thermal Analysis and Calorimetry.

In The Last Decade

Shaik Jakeer

47 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaik Jakeer India 16 819 631 513 72 45 50 866
Seethi Reddy Reddisekhar Reddy India 16 850 1.0× 655 1.0× 541 1.1× 63 0.9× 61 1.4× 57 891
A. Subramanyam Reddy India 19 858 1.0× 645 1.0× 592 1.2× 46 0.6× 65 1.4× 59 885
S. Eswaramoorthi India 18 866 1.1× 664 1.1× 600 1.2× 46 0.6× 48 1.1× 62 883
Abdullah Alhushaybari Saudi Arabia 16 640 0.8× 486 0.8× 387 0.8× 58 0.8× 36 0.8× 55 726
M. Faizan Pakistan 13 586 0.7× 408 0.6× 366 0.7× 51 0.7× 49 1.1× 46 640
Surender Ontela India 18 868 1.1× 628 1.0× 588 1.1× 79 1.1× 72 1.6× 90 903
Muhammad Rooman Saudi Arabia 15 551 0.7× 400 0.6× 353 0.7× 34 0.5× 39 0.9× 33 582
T. A. Yusuf Nigeria 16 799 1.0× 656 1.0× 559 1.1× 35 0.5× 58 1.3× 45 821
S. Mamatha Upadhya India 17 753 0.9× 605 1.0× 550 1.1× 35 0.5× 52 1.2× 34 784
Awais Ahmed Pakistan 21 975 1.2× 755 1.2× 700 1.4× 45 0.6× 81 1.8× 63 1.0k

Countries citing papers authored by Shaik Jakeer

Since Specialization
Citations

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

Fields of papers citing papers by Shaik Jakeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaik Jakeer

This figure shows the co-authorship network connecting the top 25 collaborators of Shaik Jakeer. A scholar is included among the top collaborators of Shaik Jakeer 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 Shaik Jakeer. Shaik Jakeer 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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Nabwey, Hossam A., Shaik Jakeer, M. A. Mansour, T. Salah, & A. M. Rashad. (2025). Entropy generation on MHD hybrid nanofluid flow over a porous square cavity with a cross-shaped obstacle and heater corners. Journal of Thermal Analysis and Calorimetry. 150(22). 18405–18428.
3.
Salah, T., et al.. (2024). Analyzing geometric parameters in an inclined wavy-porous cavity filled with magnetic hybrid nanofluid containing a square solid block. Progress in Nuclear Energy. 171. 105159–105159. 4 indexed citations
4.
Jakeer, Shaik, et al.. (2024). Heat transfer innovation of engine oil conveying SWCNTs-MWCNTs-TiO2 nanoparticles embedded in a porous stretching cylinder. Scientific Reports. 14(1). 16448–16448. 15 indexed citations
5.
Jakeer, Shaik, et al.. (2024). New Trend of Automobile Aspects on MHD of Hybrid Nanofluid Flow Over a Porous Stretching Cylinder: A Numerical Study. SHILAP Revista de lepidopterología. 249–255. 1 indexed citations
6.
Suneetha, S., et al.. (2024). Importance of Reflected Solar Energy Loaded with SWCNTs-MWCNTs/EG Darcy Porous Stretched Surface: Midrich Scheme. SHILAP Revista de lepidopterología. 192–202. 2 indexed citations
7.
Reddy, Seethi Reddy Reddisekhar, et al.. (2024). Impact of Arrhenius activation energy on magnetic nanofluid flow over a slendering stretchable sheet with nonlinear radiative heat transfer: A machine learning algorithm. Numerical Heat Transfer Part B Fundamentals. 86(7). 2278–2300. 10 indexed citations
8.
Jakeer, Shaik, et al.. (2024). Numerical simulation of bio-magnetic nanofluid flow in the human circulatory system. Numerical Heat Transfer Part A Applications. 86(11). 3730–3758. 9 indexed citations
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Subramanyam, Padma, et al.. (2024). Exploring double-diffusive convection in ferromagnetic Carreau nanofluid with magnetic dipole: Insights for solar thermal systems over plate, wedge, and stagnation. Case Studies in Thermal Engineering. 61. 104952–104952. 5 indexed citations
11.
Jakeer, Shaik, et al.. (2024). Numerical investigation of Casson fluid flow performance of blood containing gold and Fe 3 O 4 nanofluid injected into a stenotic artery. Numerical Heat Transfer Part A Applications. 87(1). 7 indexed citations
12.
Jakeer, Shaik, et al.. (2024). Convective transport of pulsatile multilayer hybrid nanofluid flow in a composite porous channel. Nonlinear Analysis Modelling and Control. 29(2). 330–348. 4 indexed citations
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Jakeer, Shaik, V E Sathishkumar, Seethi Reddy Reddisekhar Reddy, & H. Thameem Basha. (2023). Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation. Symmetry. 15(8). 1503–1503. 9 indexed citations
16.
Ali, Rifaqat, et al.. (2023). Entropy-optimized MHD three-dimensional solar slendering sheet of micropolar hybrid nanofluid flow using a machine learning approach. Journal of Thermal Analysis and Calorimetry. 149(13). 7001–7023. 10 indexed citations
17.
Jakeer, Shaik, P. Bala Anki Reddy, Seethi Reddy Reddisekhar Reddy, & H. Thameem Basha. (2023). Entropy generation and Melting heat transfer on the Ferrohydrodynamic flow of Fe 3 O 4 -Ag/blood hybrid nanofluid with Cattaneo-Christov heat flux model. Waves in Random and Complex Media. 36(2). 1802–1825. 11 indexed citations
18.
Jakeer, Shaik, H. Thameem Basha, Seethi Reddy Reddisekhar Reddy, et al.. (2023). Entropy analysis on EMHD 3D micropolar tri-hybrid nanofluid flow of solar radiative slendering sheet by a machine learning algorithm. Scientific Reports. 13(1). 19168–19168. 13 indexed citations
19.
Reddy, P. Bala Anki, et al.. (2022). Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid. Waves in Random and Complex Media. 35(3). 5215–5242. 28 indexed citations
20.
Jakeer, Shaik & P. Bala Anki Reddy. (2021). COMPETENCE OF MAGNETIC DIPOLE AND RADIATION ON PERMEABLE SURFACE USING PRESCRIBED HEAT FLUX / PRESCRIBED SURFACE TEMPERATURE AND HOMOGENEOUS-HETEROGENEOUS REACTIONS. Special Topics & Reviews in Porous Media An International Journal. 12(6). 91–107. 15 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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