M.S. Gad

2.6k total citations
77 papers, 2.0k citations indexed

About

M.S. Gad is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Mechanical Engineering. According to data from OpenAlex, M.S. Gad has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Biomedical Engineering, 50 papers in Fluid Flow and Transfer Processes and 30 papers in Mechanical Engineering. Recurrent topics in M.S. Gad's work include Biodiesel Production and Applications (60 papers), Advanced Combustion Engine Technologies (50 papers) and Lubricants and Their Additives (23 papers). M.S. Gad is often cited by papers focused on Biodiesel Production and Applications (60 papers), Advanced Combustion Engine Technologies (50 papers) and Lubricants and Their Additives (23 papers). M.S. Gad collaborates with scholars based in Egypt, Saudi Arabia and Türkiye. M.S. Gad's co-authors include Kamal Abed, S. Jayaraj, A.K. El Morsi, Mahmoud M. Sayed, A.S. El-Shafay, Hassan Abu Hashish, Ümit Ağbulut, Zhixia He, Ahmed I. EL‐Seesy and Mohamed A. Ismail and has published in prestigious journals such as Scientific Reports, International Journal of Hydrogen Energy and Energy.

In The Last Decade

M.S. Gad

75 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M.S. Gad 1.7k 1.2k 664 481 256 77 2.0k
Heoy Geok How 1.4k 0.8× 1.2k 1.0× 619 0.9× 354 0.7× 301 1.2× 62 1.8k
Mustafa Özcanlı 1.3k 0.8× 1.2k 1.0× 463 0.7× 420 0.9× 235 0.9× 72 1.8k
S. Thiyagarajan 1.6k 0.9× 1.4k 1.2× 485 0.7× 454 0.9× 352 1.4× 60 1.9k
Dilip Sharma 1.8k 1.0× 1.1k 0.9× 885 1.3× 392 0.8× 278 1.1× 70 2.5k
M.J. Abedin 2.0k 1.2× 1.6k 1.4× 761 1.1× 469 1.0× 393 1.5× 45 2.5k
Khaled Loubar 1.4k 0.8× 1.2k 1.0× 464 0.7× 371 0.8× 513 2.0× 84 2.2k
A. Sanjid 1.6k 0.9× 1.3k 1.1× 632 1.0× 286 0.6× 305 1.2× 24 1.9k
Ftwi Yohaness Hagos 1.4k 0.8× 1.0k 0.8× 869 1.3× 427 0.9× 420 1.6× 71 2.3k
Anand Ramanathan 2.3k 1.3× 1.2k 1.0× 967 1.5× 547 1.1× 431 1.7× 102 2.8k
C.G. Saravanan 1.9k 1.1× 1.6k 1.3× 601 0.9× 475 1.0× 507 2.0× 99 2.3k

Countries citing papers authored by M.S. Gad

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Gad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.S. Gad

This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Gad. A scholar is included among the top collaborators of M.S. Gad 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 M.S. Gad. M.S. Gad 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.
Gad, M.S., et al.. (2025). Energy-exergy analysis of butanone-gasoline blends with hybrid nanoparticles in a spark ignition engine. Case Studies in Thermal Engineering. 73. 106597–106597. 1 indexed citations
2.
El-Shafay, A.S., et al.. (2025). Experimental assessment of hybrid binary and ternary fuel blends on CI engine performance, emissions, and combustion characteristics. Journal of Thermal Analysis and Calorimetry. 150(6). 4695–4709. 3 indexed citations
3.
4.
Gad, M.S., et al.. (2024). Artificial neural network based forecasting of diesel engine performance and emissions utilizing waste cooking biodiesel. Scientific Reports. 14(1). 21980–21980. 10 indexed citations
5.
El-Fakharany, Magda K., et al.. (2024). Impact of Nano-TiO2 Combination with Biodiesel on Diesel Engine Performance and Emissions Under Fuel Magnetism Conditioning. Arabian Journal for Science and Engineering. 50(17). 14149–14164. 6 indexed citations
6.
Polat, Fikret, Suat Sarıdemir, M.S. Gad, A.S. El-Shafay, & Ümit Ağbulut. (2024). Enhancing diesel engine performance, combustion, and emissions reductions under the effect of cerium oxide nanoparticles with hydrogen addition to biodiesel fuel. International Journal of Hydrogen Energy. 83. 884–896. 22 indexed citations
7.
Gad, M.S., Cüneyt Uysal, A.S. El-Shafay, & Ümit Ağbulut. (2024). Exergetic and exergoeconomic assessments of a diesel engine fuelled with waste chicken fat biodiesel-diesel blends. Energy. 293. 130676–130676. 9 indexed citations
8.
9.
El-Shafay, A.S., et al.. (2024). Investigation of waste cooking and castor biodiesel blends effects on diesel engine performance, emissions, and combustion characteristics. Case Studies in Thermal Engineering. 60. 104721–104721. 15 indexed citations
10.
Gad, M.S., Tamer Elsakhawy, Faisal B. Baz, & Magda K. El-Fakharany. (2024). Synergetic influence of urea addition on performance and emissions of hydrogen–diesel dual fuel engine. Journal of Thermal Analysis and Calorimetry. 150(3). 2209–2222. 2 indexed citations
11.
Gad, M.S., et al.. (2024). Effect of different configurations of hybrid nano additives blended with biodiesel on CI engine performance and emissions. Scientific Reports. 14(1). 19528–19528. 9 indexed citations
12.
El-Shafay, A.S., M.S. Gad, Ümit Ağbulut, & El-Awady Attia. (2023). Optimization of performance and emission outputs of a CI engine powered with waste fat biodiesel: A detailed RSM, fuzzy multi-objective and MCDM application. Energy. 275. 127356–127356. 19 indexed citations
13.
Gad, M.S., A.S. El-Shafay, Ümit Ağbulut, & Hitesh Panchal. (2023). Impact of produced oxyhydrogen gas (HHO) from dry cell electrolyzer on spark ignition engine characteristics. International Journal of Hydrogen Energy. 49. 553–563. 11 indexed citations
14.
Gad, M.S., Ümit Ağbulut, Asif Afzal, et al.. (2023). A comprehensive review on the usage of the nano-sized particles along with diesel/biofuel blends and their impacts on engine behaviors. Fuel. 339. 127364–127364. 85 indexed citations
15.
Gad, M.S. & Emad M.S. El‐Said. (2023). Performance evaluation of PV panels for green HHO gas generation: Energy, exergy, and economic investigation. Energy. 280. 128059–128059. 7 indexed citations
16.
Gad, M.S., A.S. El-Shafay, Umar F. Alqsair, Ümit Ağbulut, & El-Awady Attia. (2023). Multi-objective optimization based grey relational analysis and investigation of using the waste animal fat biodiesel on the engine characteristics. Fuel. 343. 127950–127950. 10 indexed citations
17.
Gad, M.S. & Mohamed A. Ismail. (2020). Effect of waste cooking oil biodiesel blending with gasoline and kerosene on diesel engine performance, emissions and combustion characteristics. Process Safety and Environmental Protection. 149. 1–10. 58 indexed citations
18.
Gad, M.S., et al.. (2017). Experimental investigation using CNTs as an additive to palm biodiesel blend on a DI diesel engine performance, emission and combustion characteristics.. International Journal for Research in Applied Science and Engineering Technology. 5(7). 1338–1350. 3 indexed citations
19.
Ibrahim, Said M.A., Kamal Abed, & M.S. Gad. (2014). An experimental investigation of diesel engine performance using Jatropha biodiesel.. World Applied Sciences Journal. 31(6). 998–1003. 1 indexed citations
20.
Ibrahim, Said M.A., Kamal Abed, & M.S. Gad. (2014). Experimental Investigation of Diesel Engine Performance Burning Preheated Jatropha Oil. World Applied Sciences Journal. 31(7). 1231–1236. 3 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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