Sunil Jha

2.9k total citations
107 papers, 2.3k citations indexed

About

Sunil Jha is a scholar working on Biomedical Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sunil Jha has authored 107 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Biomedical Engineering, 65 papers in Mechanical Engineering and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Sunil Jha's work include Advanced Surface Polishing Techniques (68 papers), Advanced machining processes and optimization (56 papers) and Advanced Machining and Optimization Techniques (29 papers). Sunil Jha is often cited by papers focused on Advanced Surface Polishing Techniques (68 papers), Advanced machining processes and optimization (56 papers) and Advanced Machining and Optimization Techniques (29 papers). Sunil Jha collaborates with scholars based in India, United States and United Kingdom. Sunil Jha's co-authors include V.K. Jain, Pulak M. Pandey, Anant Kumar Singh, V. K. Jain, Ashish Kumar Sahu, P. Venkateswara Rao, Lalit Maini, Ankur Sharma, Anurag Tiwari and R. Komanduri and has published in prestigious journals such as The American Journal of Cardiology, Optics Letters and Journal of Materials Science.

In The Last Decade

Sunil Jha

101 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil Jha India 27 1.7k 1.5k 698 535 269 107 2.3k
Anant Kumar Singh India 25 1.3k 0.8× 1.2k 0.8× 464 0.7× 384 0.7× 168 0.6× 82 1.7k
L.C. Zhang Australia 26 855 0.5× 1.1k 0.7× 465 0.7× 868 1.6× 111 0.4× 37 1.9k
Abhijit Chandra United States 31 1.2k 0.7× 1.3k 0.9× 759 1.1× 952 1.8× 212 0.8× 151 3.0k
Yebing Tian China 24 1.1k 0.7× 1.2k 0.8× 509 0.7× 320 0.6× 188 0.7× 111 1.6k
Jiuhua Xu China 35 2.7k 1.5× 4.0k 2.7× 1.6k 2.2× 720 1.3× 274 1.0× 154 4.4k
Andrew Warkentin Canada 26 1.1k 0.6× 1.5k 1.1× 463 0.7× 165 0.3× 346 1.3× 63 1.9k
Renke Kang China 22 713 0.4× 1.1k 0.8× 405 0.6× 303 0.6× 104 0.4× 106 1.5k
Biao Zhao China 26 1.1k 0.6× 1.8k 1.2× 682 1.0× 353 0.7× 114 0.4× 141 2.0k
Ching‐Kong Chao Taiwan 21 632 0.4× 362 0.2× 328 0.5× 389 0.7× 74 0.3× 198 2.2k
Peiqi Ge China 22 855 0.5× 953 0.7× 302 0.4× 612 1.1× 117 0.4× 73 1.5k

Countries citing papers authored by Sunil Jha

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Jha. A scholar is included among the top collaborators of Sunil Jha 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 Sunil Jha. Sunil Jha 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.
Tamang, Santosh Kumar, et al.. (2025). An integrated intelligent approach for optimizing process parameters in diamond turning of sc-Ge for high-quality optical surfaces. Physica Scripta. 100(3). 35534–35534. 1 indexed citations
2.
Kumar, Deepak & Sunil Jha. (2025). Deposition strategy correlation with texture development, geometric homogeneity, and mechanical anisotropy in robotic WAAM-fabricated aluminum alloy thick walls. Journal of Manufacturing Processes. 145. 545–555. 3 indexed citations
3.
Roy, Tribeni, et al.. (2025). Efficient fabrication of zero taper µ-electrode using novel dry µ-electrical discharge turning. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 240(1-2). 150–161.
4.
5.
Kumar, Deepak & Sunil Jha. (2025). Interpretable generative machine learning model based in-situ process monitoring in robotic wire arc based directed energy deposition of aluminum alloys. CIRP journal of manufacturing science and technology. 63. 185–204.
6.
Sahu, Ashish Kumar, et al.. (2024). Novel processing of micro-channels in micro-grinding with automated laser-assistance. The International Journal of Advanced Manufacturing Technology. 138(1). 17–30. 1 indexed citations
7.
Kumar, Harish, Tribeni Roy, & Sunil Jha. (2024). Influence of gaseous dielectrics on the wettability of Al-6061 alloy using dry µ-electrical discharge milling. Applied Surface Science. 685. 162004–162004. 1 indexed citations
8.
Kumar, Arun, et al.. (2024). Magnetorheological and magnetic actuation behaviour of solvent cast 4D printed styrene-ethylene-butylene-styrene block copolymer based magnetorheological elastomeric materials. Journal of Magnetism and Magnetic Materials. 610. 172551–172551. 4 indexed citations
9.
10.
Patel, H.A., et al.. (2023). The effect of temperature and dwell time on diamond-WC brazed joint quality using low-melting point active Ag-Cu-In alloy. Diamond and Related Materials. 139. 110308–110308. 6 indexed citations
11.
Jha, Sunil, et al.. (2023). Same-Day Discharge and 30-Day Readmissions After Atrial Fibrillation Ablation Before and During the COVID-19 Pandemic. The American Journal of Cardiology. 194. 58–59. 3 indexed citations
12.
13.
Jha, Sunil, et al.. (2021). Fuzzy c-means clustering based colour image segmentation for tool wear monitoring in micro-milling. Precision Engineering. 72. 690–705. 26 indexed citations
14.
Sahu, Ashish Kumar, et al.. (2021). Laser-based hybrid micromachining processes: A review. Optics & Laser Technology. 146. 107554–107554. 63 indexed citations
15.
Mishra, Vinod, et al.. (2020). Experimental investigations on slow tool servo process parameters for freeform optics machining. Materials and Manufacturing Processes. 35(7). 797–810. 14 indexed citations
16.
Mishra, Vinod, et al.. (2020). Investigations on flexible pad polishing for nano-finishing of freeform optics mold. 3(2). 99–112. 4 indexed citations
17.
Mishra, Vinod, et al.. (2019). Form error compensation in the slow tool servo machining of freeform optics. The International Journal of Advanced Manufacturing Technology. 105(1-4). 1623–1635. 25 indexed citations
18.
Garg, Nadish, et al.. (2018). Double conduction through the atrioventricular node following acute medullary infarction: a case report. Annals of Translational Medicine. 6(1). 15–15. 1 indexed citations
19.
Maini, Lalit, Ankur Sharma, Sunil Jha, & Anurag Tiwari. (2016). Three-dimensional printing and patient-specific pre-contoured plate: future of acetabulum fracture fixation?. European Journal of Trauma and Emergency Surgery. 44(2). 215–224. 73 indexed citations
20.
Jha, Sunil, et al.. (1998). Cardiac pacing at TU Teaching Hospital - Changing perspective. Journal of Institute of Medicine Nepal. 20(1 & 2). 3 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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