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.
Environmental friendly cutting fluids and cooling techniques in machining: a review
2014640 citationsSujan Debnath, Moola Mohan Reddy et al.profile →
A critical review on additive manufacturing of Ti-6Al-4V alloy: microstructure and mechanical properties
This map shows the geographic impact of Sujan Debnath'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 Sujan Debnath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujan Debnath more than expected).
This network shows the impact of papers produced by Sujan Debnath. 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 Sujan Debnath. The network helps show where Sujan Debnath may publish in the future.
Co-authorship network of co-authors of Sujan Debnath
This figure shows the co-authorship network connecting the top 25 collaborators of Sujan Debnath.
A scholar is included among the top collaborators of Sujan Debnath 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 Sujan Debnath. Sujan Debnath is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Yanbin, Changhe Li, Zongming Zhou, et al.. (2022). Extreme pressure and antiwear additives for lubricant: academic insights and perspectives. The International Journal of Advanced Manufacturing Technology. 120(1-2). 1–27.184 indexed citations breakdown →
Wu, Xifeng, Changhe Li, Zongming Zhou, et al.. (2021). Circulating purification of cutting fluid: an overview. The International Journal of Advanced Manufacturing Technology. 117(9-10). 2565–2600.171 indexed citations
11.
Cui, Xin, Changhe Li, Wenfeng Ding, et al.. (2021). Minimum quantity lubrication machining of aeronautical materials using carbon group nanolubricant: From mechanisms to application. Chinese Journal of Aeronautics. 35(11). 85–112.196 indexed citations breakdown →
12.
Liu, Mingzheng, Changhe Li, Yanbin Zhang, et al.. (2021). Cryogenic minimum quantity lubrication machining: from mechanism to application. Frontiers of Mechanical Engineering. 16(4). 649–697.223 indexed citations breakdown →
13.
Wang, Xiaoming, Changhe Li, Yanbin Zhang, et al.. (2020). Vegetable oil-based nanofluid minimum quantity lubrication turning: Academic review and perspectives. Journal of Manufacturing Processes. 59. 76–97.243 indexed citations breakdown →
Debnath, Sujan, et al.. (2015). Microstructure analysis, physical and thermal properties of Al2O3-Al2TiO5 functionally graded ceramics for the application of car brake rot. Pertanika journal of science & technology. 23(1). 153–161.5 indexed citations
Debnath, Sujan, et al.. (2013). A Review on Natural Fibre Reinforced Polymer Composites. eSpace (Curtin University). 1123–1130.14 indexed citations
19.
Debnath, Sujan, et al.. (2013). Utilization of Agro-Industrial Waste in Metal Matrix Composites: Towards Sustainability. eSpace (Curtin University). 1136–1144.7 indexed citations
20.
Debnath, Sujan, Muhammad Kalimur Rahman, Vikram Pakrashi, & Paul Fanning. (2012). A Parametric Study: Frame Analysis Method for Masonry Arch Bridges. eSpace (Curtin University). 6(8). 615–621.2 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.