Arshpreet Singh

824 total citations
22 papers, 183 citations indexed

About

Arshpreet Singh is a scholar working on Mechanical Engineering, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Arshpreet Singh has authored 22 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanical Engineering, 11 papers in Biomedical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Arshpreet Singh's work include Advanced Surface Polishing Techniques (10 papers), Metal Forming Simulation Techniques (8 papers) and Advanced machining processes and optimization (8 papers). Arshpreet Singh is often cited by papers focused on Advanced Surface Polishing Techniques (10 papers), Metal Forming Simulation Techniques (8 papers) and Advanced machining processes and optimization (8 papers). Arshpreet Singh collaborates with scholars based in India, Nepal and Brazil. Arshpreet Singh's co-authors include Anupam Agrawal, Anupam Agrawal, Gulshan Kumar, Rohit Kumar, S. P. Singh, Sushil Kumar Kansal, Marcelo K. Zuffo, Abhishek Thakur, Nourédine Hadjsaïd and Meena Krishania and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

Arshpreet Singh

17 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arshpreet Singh India 6 162 76 74 26 24 22 183
Mirosław Szczepanik Poland 8 67 0.4× 27 0.4× 53 0.7× 21 0.8× 13 0.5× 29 164
Ichiro MORIWAKI Japan 8 246 1.5× 34 0.4× 82 1.1× 24 0.9× 14 0.6× 93 308
M. N. Jha India 10 289 1.8× 16 0.2× 61 0.8× 35 1.3× 16 0.7× 20 313
Sandeep S. Wangikar India 7 104 0.6× 192 2.5× 21 0.3× 86 3.3× 29 1.2× 18 255
B. Clausen Germany 9 258 1.6× 44 0.6× 130 1.8× 28 1.1× 11 0.5× 50 283
Gaochao Yu China 12 258 1.6× 50 0.7× 185 2.5× 4 0.2× 42 1.8× 37 281
Henry Brunskill United Kingdom 11 255 1.6× 21 0.3× 238 3.2× 31 1.2× 20 0.8× 21 325
Lisa Ehle Germany 9 244 1.5× 166 2.2× 88 1.2× 193 7.4× 20 0.8× 21 314
Rakesh Lingam India 10 318 2.0× 108 1.4× 242 3.3× 8 0.3× 166 6.9× 19 329
Quoc Tuan Pham South Korea 12 367 2.3× 30 0.4× 300 4.1× 10 0.4× 32 1.3× 36 400

Countries citing papers authored by Arshpreet Singh

Since Specialization
Citations

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

Fields of papers citing papers by Arshpreet Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arshpreet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Arshpreet Singh. A scholar is included among the top collaborators of Arshpreet 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 Arshpreet Singh. Arshpreet Singh 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.
Singh, Arshpreet, et al.. (2025). Surface Integrity of AA6061-T6 Sheets Formed by Single Point Incremental Forming Process. Journal of Materials Engineering and Performance. 34(24). 29273–29289.
2.
Singh, Arshpreet, et al.. (2025). AI in HRM: Revolutionizing the future of work. 7(1). 267–272.
4.
Singh, Arshpreet. (2024). Experimental Investigations on Surface Integrity in Thin Structure Machining of Aluminum 6061-T6. Journal of Materials Engineering and Performance. 34(3). 1959–1973. 2 indexed citations
5.
Singh, Arshpreet, et al.. (2024). Technical Review of Breast Cancer Screening and Detection using Artificial Intelligence and Radiomics. 1171–1176. 3 indexed citations
6.
Singh, Arshpreet, S. P. Singh, Sushil Kumar Kansal, Monika Garg, & Meena Krishania. (2023). Production and characterization of anthocyanin-rich beer from black wheat by an efficient isolate Saccharomyces cerevisiae CMS12. Scientific Reports. 13(1). 5863–5863. 7 indexed citations
7.
Singh, Arshpreet & Anupam Agrawal. (2022). Single point incremental bending: Bending load evaluations and process validation. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 237(1-2). 305–316. 1 indexed citations
8.
Singh, Arshpreet, Vincent Debusschere, & Nourédine Hadjsaïd. (2022). Slow-interaction Converter-driven Stability in the Distribution Grid: Small Signal Stability Analysis using RMS Models. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 2 indexed citations
9.
Thakur, Abhishek, Ravinder Singh Joshi, & Arshpreet Singh. (2021). A brief review on mechanical properties of Al-MMCs fabricated by stir casting route & applications. SHILAP Revista de lepidopterología. 309. 1227–1227. 3 indexed citations
10.
Singh, Arshpreet, et al.. (2020). Formability Analysis of AA1200 H14 Aluminum Alloy Using Single Point Incremental Forming Process. Transactions of the Indian Institute of Metals. 73(7). 1975–1984. 16 indexed citations
11.
Kumar, Rohit, Gulshan Kumar, & Arshpreet Singh. (2020). An assessment of residual stresses and micro-structure during single point incremental forming of commercially pure titanium used in biomedical applications. Materials Today Proceedings. 28. 1261–1266. 11 indexed citations
12.
Singh, Arshpreet & Anupam Agrawal. (2017). Experimental force modeling for deformation machining stretching mode for aluminum alloys. Sadhana. 42(2). 271–280. 3 indexed citations
13.
Singh, Arshpreet & Anupam Agrawal. (2017). Experimental and numerical investigations on structural thinning, thinning evolution and compensation stratagem in deformation machining stretching mode. Journal of Manufacturing Processes. 26. 216–225. 2 indexed citations
14.
Singh, Arshpreet & Anupam Agrawal. (2016). Investigations on structural thinning and compensation stratagem in deformation machining stretching mode. Manufacturing Letters. 9. 1–6. 3 indexed citations
15.
Singh, Arshpreet, et al.. (2016). Investigations on structural thinning in deformation machining stretching mode. AIP conference proceedings. 1769. 70017–70017. 2 indexed citations
16.
Singh, Arshpreet & Anupam Agrawal. (2016). Comparison of deforming forces, residual stresses and geometrical accuracy of deformation machining with conventional bending and forming. Journal of Materials Processing Technology. 234. 259–271. 27 indexed citations
17.
Singh, Arshpreet, et al.. (2016). EMG instrumentation for educational physiotherapy research. 101–102. 3 indexed citations
18.
Singh, Arshpreet & Anupam Agrawal. (2015). Investigation of surface residual stress distribution in deformation machining process for aluminum alloy. Journal of Materials Processing Technology. 225. 195–202. 82 indexed citations
19.
Singh, Arshpreet, et al.. (2004). Estimation of bias and relative error from the aggregation model developed for a sample valley village of Almora district. University of Minnesota Digital Conservancy (University of Minnesota).
20.
Singh, Arshpreet, et al.. (2004). The general state vector linear model for sustainable ecodevelopment applied on illustrative basis to a sample valley village of Almora district. University of Minnesota Digital Conservancy (University of Minnesota). 1 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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