L. B. Abhang

426 total citations
27 papers, 305 citations indexed

About

L. B. Abhang is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, L. B. Abhang has authored 27 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in L. B. Abhang's work include Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (12 papers) and Manufacturing Process and Optimization (8 papers). L. B. Abhang is often cited by papers focused on Advanced machining processes and optimization (13 papers), Advanced Machining and Optimization Techniques (12 papers) and Manufacturing Process and Optimization (8 papers). L. B. Abhang collaborates with scholars based in India, Indonesia and Cyprus. L. B. Abhang's co-authors include M. Hameedullah, M.A. Iqbal, Vishnu Priya Veeraraghavan, Vinod Kumar, P. Jagadeesan, Davinder Paul Singh, Munish Kumar, M. Balamurugan, T. Sathish and Vipin Kumar Sharma and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Materials Today Proceedings and Macromolecular Symposia.

In The Last Decade

L. B. Abhang

23 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. B. Abhang India 9 220 168 91 83 38 27 305
Chorng‐Jyh Tzeng Taiwan 6 370 1.7× 249 1.5× 137 1.5× 108 1.3× 28 0.7× 9 454
Francisco Mata Cabrera Morocco 11 278 1.3× 191 1.1× 67 0.7× 133 1.6× 29 0.8× 35 401
Neelesh Kumar Sahu India 10 265 1.2× 165 1.0× 85 0.9× 54 0.7× 13 0.3× 19 314
B. Suresh Kumar India 11 294 1.3× 109 0.6× 158 1.7× 30 0.4× 19 0.5× 39 405
Dražen Bajić Croatia 9 273 1.2× 128 0.8× 95 1.0× 85 1.0× 8 0.2× 29 350
Ching‐Kao Chang Taiwan 6 265 1.2× 138 0.8× 61 0.7× 79 1.0× 12 0.3× 9 366
Robson Bruno Dutra Pereira Brazil 13 398 1.8× 219 1.3× 162 1.8× 108 1.3× 12 0.3× 46 488
K. Shunmugesh India 10 235 1.1× 161 1.0× 78 0.9× 65 0.8× 34 0.9× 37 293
Roman Chudy Poland 8 253 1.1× 113 0.7× 104 1.1× 58 0.7× 6 0.2× 17 328
M.P. Jenarthanan India 14 364 1.7× 208 1.2× 132 1.5× 52 0.6× 102 2.7× 59 485

Countries citing papers authored by L. B. Abhang

Since Specialization
Citations

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

Fields of papers citing papers by L. B. Abhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. B. Abhang. 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 L. B. Abhang. The network helps show where L. B. Abhang may publish in the future.

Co-authorship network of co-authors of L. B. Abhang

This figure shows the co-authorship network connecting the top 25 collaborators of L. B. Abhang. A scholar is included among the top collaborators of L. B. Abhang 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 L. B. Abhang. L. B. Abhang 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.
Abhang, L. B., et al.. (2024). Biosynthesize of ZnO nanoparticle from orange fruit peel biomass and its PVA-based composite packaging material: a greener material for suitable packaging. Biomass Conversion and Biorefinery. 15(9). 14037–14046. 3 indexed citations
2.
Abhang, L. B., et al.. (2024). Swarm Intelligence for Multi-Robot Coordination in Agricultural Automation. 455–460. 3 indexed citations
3.
Abhang, L. B., et al.. (2024). Machine Vision Applications in Robotics and Automation. 1–5.
4.
Singh, Davinder Paul, et al.. (2024). A Review of Plant Disease Identification using Computational Techniques. 478–483.
5.
Abhang, L. B., et al.. (2023). A Critical Review on Tribological and Mechanical Characteristics of Hybrid Polymer Composite Materials. Macromolecular Symposia. 412(1). 1 indexed citations
6.
Iqbal, M.A., et al.. (2023). Influence of Fiber Content on the Flexural Strength and Physical Properties of Abaca Fiber-Cement-Gypsum Board. Key engineering materials. 951. 173–183. 1 indexed citations
7.
Iqbal, M.A., et al.. (2022). Flexural Strength and Physical Properties of Cement Board Reinforced with Abaca Fiber. Key engineering materials. 930. 169–178. 4 indexed citations
8.
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
9.
Iqbal, M.A., et al.. (2021). Bending Strength of Fiber Metal Laminate Based on Abaca Fiber Reinforced Polyester and Aluminum Alloy Metal Sheet. Key engineering materials. 892. 134–141. 8 indexed citations
10.
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
11.
Iqbal, M.A., et al.. (2020). The Investigation of Hole Delamination in Drilling Kevlar Composite Panel Using HSS Drill Tool. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 402. 108–114. 11 indexed citations
12.
Abhang, L. B., et al.. (2019). OPTIMIZATION ON OPERATING PARAMETERS OF CNC PLASMA MACHINE BY EXPERIMENTATION. 7(1). 26–26. 1 indexed citations
13.
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
14.
Abhang, L. B. & M. Hameedullah. (2014). Parametric Investigation of Turning Process on En-31 Steel. Procedia Materials Science. 6. 1516–1523. 24 indexed citations
15.
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
16.
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
17.
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
18.
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
19.
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
20.
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

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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