Mohit Law

847 total citations
50 papers, 628 citations indexed

About

Mohit Law is a scholar working on Mechanical Engineering, Biomedical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Mohit Law has authored 50 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Mechanical Engineering, 20 papers in Biomedical Engineering and 17 papers in Civil and Structural Engineering. Recurrent topics in Mohit Law's work include Advanced machining processes and optimization (34 papers), Advanced Surface Polishing Techniques (18 papers) and Iterative Learning Control Systems (10 papers). Mohit Law is often cited by papers focused on Advanced machining processes and optimization (34 papers), Advanced Surface Polishing Techniques (18 papers) and Iterative Learning Control Systems (10 papers). Mohit Law collaborates with scholars based in India, Germany and Canada. Mohit Law's co-authors include Yusuf Altıntaş, A. Srikantha Phani, Steffen Ihlenfeldt, Pankaj Wahi, Markus Wabner, Ankit Bansal, Suparno Mukhopadhyay, R. Neugebauer, Zekai Murat Kılıç and Aditya Singh and has published in prestigious journals such as Journal of Sound and Vibration, International Journal of Machine Tools and Manufacture and CIRP Annals.

In The Last Decade

Mohit Law

49 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohit Law India 14 519 233 163 133 131 50 628
Daisuke Kono Japan 16 667 1.3× 222 1.0× 134 0.8× 74 0.6× 151 1.2× 68 772
Vincent Gagnol France 13 621 1.2× 395 1.7× 146 0.9× 74 0.6× 221 1.7× 21 713
Zeyuan Yang China 12 593 1.1× 536 2.3× 152 0.9× 48 0.4× 121 0.9× 29 740
Bruce Hazel Canada 13 296 0.6× 200 0.9× 147 0.9× 85 0.6× 36 0.3× 40 405
Zhongtao Fu China 13 285 0.5× 169 0.7× 195 1.2× 25 0.2× 72 0.5× 27 469
Ahmad Ghasempoor Canada 8 254 0.5× 139 0.6× 112 0.7× 56 0.4× 35 0.3× 24 413
Wen‐Tung Chang Taiwan 13 233 0.4× 107 0.5× 215 1.3× 44 0.3× 82 0.6× 42 404
Jianzhong Shang China 14 274 0.5× 352 1.5× 223 1.4× 74 0.6× 32 0.2× 59 570
Boling Yan China 11 466 0.9× 226 1.0× 46 0.3× 34 0.3× 153 1.2× 18 519
Yingjie Guo China 8 293 0.6× 207 0.9× 222 1.4× 21 0.2× 143 1.1× 25 450

Countries citing papers authored by Mohit Law

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Law

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Law. A scholar is included among the top collaborators of Mohit Law 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 Mohit Law. Mohit Law 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.
Law, Mohit, et al.. (2024). Deep learning-based recovery of cutting tool vibrations from spatiotemporally aliased video. International Journal of Mechatronics and Manufacturing Systems. 17(1). 1 indexed citations
2.
Law, Mohit. (2024). VISION-BASED MODAL ANALYSIS OF MACHINE TOOL SYSTEMS: PROGRESS AND PROSPECTS. Journal of Flow Visualization and Image Processing. 31(2). 99–129. 1 indexed citations
3.
Law, Mohit, et al.. (2024). Regenerative instabilities in guided metal circular sawing. Sadhana. 49(1). 1 indexed citations
4.
Law, Mohit, et al.. (2023). Experimental analysis of chatter in grooving with slender blades. Manufacturing Letters. 38. 74–78. 1 indexed citations
5.
Law, Mohit, et al.. (2023). Learning machining stability diagrams from data using neural networks. 22(2). 29–41. 1 indexed citations
6.
Law, Mohit, et al.. (2023). Machine tool multibody dynamic model updating using vision-based modal analysis. 22(2). 23–28. 1 indexed citations
7.
Law, Mohit, et al.. (2023). Vibration suppression of a slender boring bar by an impact damper. 22(4). 14–19. 2 indexed citations
8.
Law, Mohit, et al.. (2023). Obtaining subpixel level cutting tool displacements from video using a CNN architecture. 22(3). 14–19. 1 indexed citations
9.
Law, Mohit, et al.. (2022). Hardware-in-the-loop simulator for emulation and active control of chatter. HardwareX. 11. e00273–e00273. 1 indexed citations
10.
Yadav, Ajay K., et al.. (2022). Damped Chatter Resistant Boring Bar Integrated with an Absorber Working in Conjunction with an Eddy Current Damper. Journal of Vibration Engineering & Technologies. 11(5). 2013–2024. 5 indexed citations
11.
Singh, Aditya, et al.. (2022). Methods to estimate subpixel level small motion from video of vibrating cutting tools. CIRP journal of manufacturing science and technology. 39. 175–184. 7 indexed citations
12.
Law, Mohit, et al.. (2022). Adaptive Model-Free Gain Tuning for Active Damping of Machine Tool Vibrations. Journal of Vibration Engineering & Technologies. 10(7). 2799–2808. 5 indexed citations
13.
Law, Mohit, et al.. (2021). Comparative analysis of cutting forces and stability of standard and non-standard profiled serrated end mills. Procedia CIRP. 101. 114–117. 5 indexed citations
14.
Law, Mohit, et al.. (2021). Regenerative instabilities of spring-guided circular saws. Procedia CIRP. 101. 142–145. 1 indexed citations
15.
Law, Mohit, et al.. (2021). Evaluating tool point dynamics using smartphone-based visual vibrometry. Procedia CIRP. 101. 250–253. 6 indexed citations
16.
Law, Mohit, et al.. (2021). Adaptive control to actively damp bistabilities in highly interrupted turning processes using a hardware-in-the-loop simulator. Journal of Vibration and Control. 29(5-6). 1141–1150. 5 indexed citations
17.
Law, Mohit, et al.. (2020). Modal analysis of machine tools using visual vibrometry and output-only methods. CIRP Annals. 69(1). 357–360. 12 indexed citations
18.
Wahi, Pankaj, et al.. (2020). Emulating bistabilities in turning to devise gain tuning strategies to actively damp them using a hardware-in-the-loop simulator. CIRP journal of manufacturing science and technology. 32. 120–131. 5 indexed citations
19.
Law, Mohit, et al.. (2016). Application of Substructure Decoupling Techniques to Predict Mobile Machine Tool Dynamics: Numerical Investigations. Procedia CIRP. 46. 537–540. 9 indexed citations
20.
Law, Mohit, et al.. (2016). Predicting mobile machine tool dynamics by experimental dynamic substructuring. International Journal of Machine Tools and Manufacture. 108. 127–134. 28 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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