Gurpreet Singh

722 total citations
60 papers, 496 citations indexed

About

Gurpreet Singh is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Gurpreet Singh has authored 60 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 22 papers in Electrical and Electronic Engineering and 18 papers in Biomedical Engineering. Recurrent topics in Gurpreet Singh's work include Advanced Machining and Optimization Techniques (20 papers), Advanced machining processes and optimization (18 papers) and Advanced Surface Polishing Techniques (13 papers). Gurpreet Singh is often cited by papers focused on Advanced Machining and Optimization Techniques (20 papers), Advanced machining processes and optimization (18 papers) and Advanced Surface Polishing Techniques (13 papers). Gurpreet Singh collaborates with scholars based in India, China and Egypt. Gurpreet Singh's co-authors include Vivek Aggarwal, Sehijpal Singh, Harish Kumar, Geeta Aggarwal, Ravi Chand Singh, H.K. Kansal, Seema Saini, Amit Singla, Anil Panghal and Navnidhi Chhikara and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Materials.

In The Last Decade

Gurpreet Singh

56 papers receiving 460 citations

Peers

Gurpreet Singh

EEE

Vivek Joshi United States

Hongdi Wang China

Yong‐Han Kim South Korea

Daniele Suzzi Austria

Mary T. am Ende United States

P.T. Robbins United Kingdom

István Budai Hungary

Xinchao Li China

W.J. Wildeboer Netherlands

Vivek Joshi United States

Gurpreet Singh

211 ×0.7

278 ×1.4

EEE

44 ×0.3

191 ×3.1

115 ×1.9

Citations per year, relative to Gurpreet Singh Gurpreet Singh (= 1×) peers Vivek Joshi

Countries citing papers authored by Gurpreet Singh

Since Specialization

Citations

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

Fields of papers citing papers by Gurpreet Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurpreet Singh

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

All Works

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20 of 20 papers shown

Singh, Sehijpal, et al.. (2024). Modeling and Optimization of Turning Hastelloy C-276 under Sustainable Machining Environments. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 356. 21–31. 1 indexed citations

Gill, Simranpreet Singh, Gurpreet Singh, Shubham Sharma, et al.. (2024). Experimental investigation into machining performance of magnesium alloy AZ91D under dry, minimum quantity lubrication, and nano minimum quantity lubrication environments. High Temperature Materials and Processes. 43(1). 2 indexed citations

Singh, Gurpreet, et al.. (2024). Investigation on Inconel 625 using MAF and chemically assisted MAF. Materials Today Proceedings.

Tobias, Peri A., Gurpreet Singh, Robert Park, et al.. (2024). Parental assigned chromosomes for cultivated cacao provides insights into genetic architecture underlying resistance to vascular streak dieback. The Plant Genome. 17(4). e20524–e20524. 2 indexed citations

Singh, Gurpreet, et al.. (2024). Deep Learning for Anomaly Detection in IoT Systems: Techniques, Applications, and Future Directions. International Journal For Multidisciplinary Research. 6(4). 1 indexed citations

Singh, Gurpreet, et al.. (2023). PREDICTIVE MODELING FOR EARTHQUAKE EARLY WARNING SYSTEMS. International Research Journal of Modernization in Engineering Technology and Science. 1 indexed citations

Kumar, Ranvijay, et al.. (2023). Additive manufacturing of polylactic acid-based nanofibers composites for innovative scaffolding applications. International Journal on Interactive Design and Manufacturing (IJIDeM). 9 indexed citations

Babbar, Atul, et al.. (2023). On melt flow and wear properties of recycled Nylon 6-Zirconia composites for 3D printing in rapid tooling applications. Materials Today Proceedings. 5 indexed citations

Sharma, Ankur, et al.. (2023). Improving Production and Quality of Strawberry (Fragaria × ananassa Duch.) Cv. Chandler with Plant Growth Regulators: A Study in Northern Punjab. International Journal of Plant & Soil Science. 35(21). 170–176. 3 indexed citations

10.

Singh, Sandeep, Gurpreet Singh, Naveen Kumar Gupta, et al.. (2023). Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach. PLoS ONE. 18(2). e0281418–e0281418. 4 indexed citations

11.

Singh, Gurpreet, Vivek Aggarwal, Sehijpal Singh, et al.. (2023). Performance investigations for sustainability assessment of Hastelloy C-276 under different machining environments. Heliyon. 9(3). e13933–e13933. 17 indexed citations

12.

Singh, Gurpreet, Vivek Aggarwal, Sehijpal Singh, et al.. (2022). Experimental Investigation and Performance Optimization during Machining of Hastelloy C-276 Using Green Lubricants. Materials. 15(15). 5451–5451. 18 indexed citations

13.

Singh, Gurpreet, Harish Kumar, H.K. Kansal, et al.. (2022). Multiobjective Optimization of Chemically Assisted Magnetic Abrasive Finishing (MAF) on Inconel 625 Tubes Using Genetic Algorithm: Modeling and Microstructural Analysis. Micromachines. 13(8). 1168–1168. 8 indexed citations

14.

Singh, Gurpreet, et al.. (2022). Sustainable machining of Hastelloy C-276 enabling minimum quantity lubrication of environmentally compatible lubricants. Journal of Cleaner Production. 373. 133928–133928. 22 indexed citations

15.

Singh, Gurpreet, et al.. (2021). A REVIEW ON APPLICATION OF SOMACLONAL VARIATION IN IMPORTANT HORTICULTURE CROPS. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY. 161–175. 4 indexed citations

16.

Singh, Gurpreet, et al.. (2021). EFFECT OF PHOSPHORUS ON SOYBEAN PRODUCTION – A REVIEW. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY. 31–34. 2 indexed citations

17.

Singh, Gurpreet, Vivek Aggarwal, & Sehijpal Singh. (2020). An outlook on the sustainable machining aspects of minimum quantity lubrication during processing of difficult to cut materials. Materials Today Proceedings. 33. 1592–1598. 10 indexed citations

18.

Singh, Gurpreet, Gurmail Singh, Kamaljit Singh, & Amit Singla. (2017). Experimental studies on material removal rate, tool wear rate and surface properties of machined surface by powder mixed electric discharge machining. Materials Today Proceedings. 4(2). 1065–1073. 8 indexed citations

19.

Singh, Gurpreet, et al.. (2016). Experimental Studies on Heat Transfer Performance of Double Pipe Heat Exchanger with using Baffles and Nanofluids. Indian Journal of Science and Technology. 9(40). 11 indexed citations

20.

Singh, Gurpreet, et al.. (2014). Relevance of Efficient Market Hypothesis with Special Reference to BSE India. SSRN Electronic Journal.

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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