S. K. Bhatti

644 total citations · 1 hit paper
23 papers, 533 citations indexed

About

S. K. Bhatti is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Computational Mechanics. According to data from OpenAlex, S. K. Bhatti has authored 23 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 16 papers in Fluid Flow and Transfer Processes and 13 papers in Computational Mechanics. Recurrent topics in S. K. Bhatti's work include Biodiesel Production and Applications (19 papers), Advanced Combustion Engine Technologies (16 papers) and Heat transfer and supercritical fluids (10 papers). S. K. Bhatti is often cited by papers focused on Biodiesel Production and Applications (19 papers), Advanced Combustion Engine Technologies (16 papers) and Heat transfer and supercritical fluids (10 papers). S. K. Bhatti collaborates with scholars based in India, Saudi Arabia and Iraq. S. K. Bhatti's co-authors include Mohamed F. Al‐Dawody, Jaikumar Sagari, V. Srinivas, Chander Prakash, Zouhaier Aloui and Kuldeep K. Saxena and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Energy.

In The Last Decade

S. K. Bhatti

22 papers receiving 510 citations

Hit Papers

Impact of multi-walled carbon nanotubes (MWCNTs) on hybri... 2024 2026 2025 2024 20 40 60
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. Impact of multi-walled carbon nanotubes (MWCNTs) on hybrid biodiesel blends for cleaner combustion in CI engines
    2024 73 citations S. K. Bhatti, Kuldeep K. Saxena et al. Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Bhatti India 12 484 380 211 132 81 23 533
T. Balusamy India 10 440 0.9× 389 1.0× 164 0.8× 106 0.8× 80 1.0× 24 486
Hasan Bayındır Türkiye 8 489 1.0× 414 1.1× 152 0.7× 139 1.1× 59 0.7× 9 518
B. Saravanan India 7 548 1.1× 479 1.3× 157 0.7× 116 0.9× 106 1.3× 10 586
Alp Ergenç Türkiye 5 517 1.1× 409 1.1× 193 0.9× 82 0.6× 83 1.0× 8 557
Subhash Lahane India 10 473 1.0× 440 1.2× 187 0.9× 137 1.0× 93 1.1× 23 577
Abdülvahap Çakmak Türkiye 14 510 1.1× 425 1.1× 194 0.9× 82 0.6× 129 1.6× 37 600
Ahmed Mohamed Radwan Egypt 5 525 1.1× 348 0.9× 233 1.1× 72 0.5× 118 1.5× 9 599
Santhanakrishnan Radhakrishnan India 7 625 1.3× 490 1.3× 262 1.2× 101 0.8× 178 2.2× 8 672
M. Vikneswaran India 15 412 0.9× 376 1.0× 96 0.5× 129 1.0× 97 1.2× 36 502
M.S. Murthy India 7 462 1.0× 335 0.9× 178 0.8× 111 0.8× 40 0.5× 10 508

Countries citing papers authored by S. K. Bhatti

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Bhatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. Bhatti. 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 S. K. Bhatti. The network helps show where S. K. Bhatti may publish in the future.

Co-authorship network of co-authors of S. K. Bhatti

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Bhatti. A scholar is included among the top collaborators of S. K. Bhatti 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 S. K. Bhatti. S. K. Bhatti 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.
Bhatti, S. K., et al.. (2024). Vibration and Noise of Diesel engine Using Calophyllum inophyllum Biodiesel and MoO3 nanoparticles: Experimental and machine learning study. International Journal of Thermofluids. 24. 100925–100925. 2 indexed citations
2.
Bhatti, S. K., et al.. (2024). Impact of multi-walled carbon nanotubes (MWCNTs) on hybrid biodiesel blends for cleaner combustion in CI engines. Energy. 303. 131911–131911. 73 indexed citations breakdown →
3.
Bhatti, S. K., et al.. (2021). Influence of ZnO Nanoparticle Dispersed Baheda Oil Biodiesel Blend in Variable Compression Ratio Diesel Engine: Vibration and Noise Assessment. Journal of The Institution of Engineers (India) Series C. 10 indexed citations
4.
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Sagari, Jaikumar, et al.. (2020). Combustion, vibration, and noise characteristics of direct injection VCR diesel engine fuelled with Mesua ferrea oil methyl ester blends. International Journal of Ambient Energy. 43(1). 1569–1580. 32 indexed citations
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Sagari, Jaikumar, et al.. (2019). Application of Response Surface Methodology for the Prediction of Different Operating Parameters in the Production of Mesua Ferrea Oil Methyl Ester. SHILAP Revista de lepidopterología. 10(3). 2 indexed citations
8.
Sagari, Jaikumar, et al.. (2019). Experimental studies on a metal hydride–based single bed sorption cryocooler. Heat Transfer-Asian Research. 48(8). 3590–3599. 1 indexed citations
9.
Sagari, Jaikumar, S. K. Bhatti, & V. Srinivas. (2019). Emission and vibration characteristics of Niger seed oil biodiesel fueled diesel engine. JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES. 13(4). 5862–5874. 21 indexed citations
10.
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Al‐Dawody, Mohamed F. & S. K. Bhatti. (2019). Computational Combustion and Emission Analysis of Biodiesel in a Variable Compression Ratio Engine. Al-Qadisiyah Journal for Engineering Sciences. 8 indexed citations
12.
13.
Sagari, Jaikumar, S. K. Bhatti, & V. Srinivas. (2018). Experimental Investigations on Performance, Combustion, and Emission Characteristics of Niger (Guizotia abyssinica) Seed Oil Methyl Ester Blends with Diesel at Different Compression Ratios. Arabian Journal for Science and Engineering. 44(6). 5263–5273. 43 indexed citations
14.
Al‐Dawody, Mohamed F. & S. K. Bhatti. (2014). Effect of variable compression ratio on the combustion, performance and emission parameters of a diesel engine fuelled with diesel and soybean biodiesel blending.. World Applied Sciences Journal. 30(12). 1852–1858. 13 indexed citations
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Al‐Dawody, Mohamed F. & S. K. Bhatti. (2013). Theoretical modeling of combustion characteristics and performance parameters of biodiesel in DI diesel engine with variable compression ratio.. 4(2). 231–242. 3 indexed citations
17.
Al‐Dawody, Mohamed F. & S. K. Bhatti. (2013). Optimization strategies to reduce the biodiesel NOx effect in diesel engine with experimental verification. Energy Conversion and Management. 68. 96–104. 130 indexed citations
18.
Bhatti, S. K., et al.. (2013). CFD Modeling Of An Aero Gas Turbine Combustor For A Small Gas Turbine Engine. 2(1). 1 indexed citations
19.
Bhatti, S. K., et al.. (2006). STEADY STATE STRESS ANALYSIS AND HEAT TRANSFER ANALYSIS ON AN AXIAL FLOW GAS TURBINE BLADES AND DISK.. 2 indexed citations
20.
Bhatti, S. K., et al.. (2006). TRANSIENT STATE STRESS ANALYSIS ON AN AXIAL FLOW GAS TURBINE BLADES AND DISK USING FINITE ELEMENT PROCEDURE.. 4 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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