M. Hameedullah

813 total citations
18 papers, 633 citations indexed

About

M. Hameedullah is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, M. Hameedullah has authored 18 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 12 papers in Electrical and Electronic Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in M. Hameedullah's work include Advanced machining processes and optimization (14 papers), Advanced Machining and Optimization Techniques (12 papers) and Manufacturing Process and Optimization (9 papers). M. Hameedullah is often cited by papers focused on Advanced machining processes and optimization (14 papers), Advanced Machining and Optimization Techniques (12 papers) and Manufacturing Process and Optimization (9 papers). M. Hameedullah collaborates with scholars based in India, Russia and Malaysia. M. Hameedullah's co-authors include L. B. Abhang, Abu Mustafa Khan, Akhter H. Ansari, Gjumrakch Aliev, Mohammad Farhan Khan, Fohad Mabood Husain, Ghulam Md Ashraf, Qamar Zia, Umair Baig and Mohd. Rehan Zaheer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

M. Hameedullah

18 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hameedullah India 10 262 258 245 172 88 18 633
Ugochukwu C. Okonkwo Nigeria 14 184 0.7× 185 0.7× 154 0.6× 174 1.0× 20 0.2× 40 641
Vijay Kumar Meena India 14 236 0.9× 186 0.7× 238 1.0× 278 1.6× 27 0.3× 39 607
Jianhua Xiao China 19 209 0.8× 344 1.3× 399 1.6× 574 3.3× 36 0.4× 54 1.4k
Jisoo Kim South Korea 15 119 0.5× 137 0.5× 119 0.5× 262 1.5× 57 0.6× 35 662
Ruochen Liu China 16 123 0.5× 168 0.7× 265 1.1× 275 1.6× 18 0.2× 61 832
Mayur A. Makhesana India 16 616 2.4× 204 0.8× 325 1.3× 235 1.4× 108 1.2× 64 886
Cheng Gong United States 18 249 1.0× 96 0.4× 404 1.6× 60 0.3× 134 1.5× 56 818
Shiyu Cao China 16 308 1.2× 167 0.6× 538 2.2× 221 1.3× 33 0.4× 49 806
R. Guardián Mexico 11 438 1.7× 287 1.1× 47 0.2× 63 0.4× 80 0.9× 59 712
Gelayol Golkarnarenji Australia 11 307 1.2× 162 0.6× 71 0.3× 69 0.4× 38 0.4× 13 579

Countries citing papers authored by M. Hameedullah

Since Specialization
Citations

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

Fields of papers citing papers by M. Hameedullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hameedullah

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hameedullah. A scholar is included among the top collaborators of M. Hameedullah 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. Hameedullah. M. Hameedullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Abhang, L. B. & M. Hameedullah. (2021). Modeling and Analysis of Surface Roughness with Statistical and Soft Computing Approach. Advances in science and technology. 106. 109–115. 1 indexed citations
2.
Abhang, L. B., M.A. Iqbal, & M. Hameedullah. (2020). Optimization of Machining Process Parameters Using Moora Method. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 402. 81–89. 18 indexed citations
3.
Khan, Mohammad Farhan, Akhter H. Ansari, M. Hameedullah, et al.. (2016). Sol-gel synthesis of thorn-like ZnO nanoparticles endorsing mechanical stirring effect and their antimicrobial activities: Potential role as nano-antibiotics. Scientific Reports. 6(1). 27689–27689. 297 indexed citations
4.
Abhang, L. B. & M. Hameedullah. (2015). Simultaneous Optimization of Multiple Quality Characteristics In Turning EN-31Steel. Materials Today Proceedings. 2(4-5). 2640–2647. 8 indexed citations
5.
Abhang, L. B. & M. Hameedullah. (2014). Parametric Investigation of Turning Process on En-31 Steel. Procedia Materials Science. 6. 1516–1523. 24 indexed citations
6.
Hameedullah, M., et al.. (2014). Parametric Optimization of Machining Parameters using Graph Theory and Matrix Approach. 1 indexed citations
7.
Abhang, L. B. & M. Hameedullah. (2012). Modeling and analysis of surface roughness in steel turning using regression and neural networks. IEEE-International Conference On Advances In Engineering, Science And Management. 317–322. 2 indexed citations
8.
Abhang, L. B. & M. Hameedullah. (2012). Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis. The International Journal of Advanced Manufacturing Technology. 63(1-4). 13–24. 80 indexed citations
9.
Abhang, L. B. & M. Hameedullah. (2012). Selection of lubricant using combined multiple attribute decision-making method. Advances in Production Engineering & Management. 7(1). 39–50. 24 indexed citations
10.
Abhang, L. B. & M. Hameedullah. (2012). Optimization of Machining Parameters in Steel Turning Operation by Taguchi Method. Procedia Engineering. 38. 40–48. 35 indexed citations
11.
Hameedullah, M., et al.. (2012). Optimal Machining Parameters for Achieving the Desired Surface Roughness in Turning of Steel. SHILAP Revista de lepidopterología. 9(1). 37–37. 12 indexed citations
12.
Abhang, L. B. & M. Hameedullah. (2012). Response Surface Modeling and Grey Relational Analysis to Optimize Turning Parameters with Multiple Performance Characteristics. RePEc: Research Papers in Economics. 2(2). 12–45. 8 indexed citations
13.
Abhang, L. B. & M. Hameedullah. (2011). Modeling and Analysis for Surface roughness in Machining EN-31 steel using Response Surface Methodology. 33–38. 15 indexed citations
14.
Abhang, L. B. & M. Hameedullah. (2011). Statistical modeling of main cutting force produced by wet turning using soluble oil-water mixture lubricant. Management Science Letters. 1(2). 167–180. 2 indexed citations
15.
Abhang, L. B. & M. Hameedullah. (2011). Empirical Modeling of Turning Parameters Using Grey Relational Analysis. Applied Mechanics and Materials. 110-116. 2596–2603. 4 indexed citations
16.
Abhang, L. B. & M. Hameedullah. (2010). Power Prediction Model for Turning EN-31 Steel Using Response Surface Methodology. Journal of Engineering Science and Technology Review. 3(1). 116–122. 49 indexed citations
17.
Hameedullah, M., et al.. (2010). Abrasive flow machining performance measures on work-piece surfaces having different vent/passage considerations for media outflow. 3 indexed citations
18.
Sapuan, S.M., et al.. (2004). A note on the conceptual design of polymeric composite automotive bumper system. Journal of Materials Processing Technology. 159(2). 145–151. 50 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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2026