Pavan Kumar Kankar

4.3k total citations · 1 hit paper
118 papers, 3.3k citations indexed

About

Pavan Kumar Kankar is a scholar working on Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Pavan Kumar Kankar has authored 118 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Mechanical Engineering, 52 papers in Control and Systems Engineering and 20 papers in Mechanics of Materials. Recurrent topics in Pavan Kumar Kankar's work include Gear and Bearing Dynamics Analysis (52 papers), Machine Fault Diagnosis Techniques (44 papers) and Fault Detection and Control Systems (22 papers). Pavan Kumar Kankar is often cited by papers focused on Gear and Bearing Dynamics Analysis (52 papers), Machine Fault Diagnosis Techniques (44 papers) and Fault Detection and Control Systems (22 papers). Pavan Kumar Kankar collaborates with scholars based in India, Cameroon and United States. Pavan Kumar Kankar's co-authors include S. P. Harsha, Satish C. Sharma, Vijay Gupta, Satish C. Sharma, Vinay Vakharia, Aditya Sharma, Manoj Khandelwal, M. Amarnath, Ankur Miglani and Rahul Upadhyay and has published in prestigious journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and Neurocomputing.

In The Last Decade

Pavan Kumar Kankar

115 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

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.

Fault diagnosis of ball bearings using machine learning methods

2010 384 citations Pavan Kumar Kankar, S. P. Harsha et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pavan Kumar Kankar India	32	2.0k	1.9k	918	384	211	118	3.3k
Xiaoan Yan China	36	3.0k 1.5×	1.9k 1.0×	1.1k 1.2×	331 0.9×	502 2.4×	94	4.0k
Zhijian Wang China	25	1.7k 0.9×	1.3k 0.6×	544 0.6×	254 0.7×	239 1.1×	108	2.6k
René–Vinicio Sánchez Ecuador	30	3.2k 1.6×	2.1k 1.1×	1.2k 1.3×	283 0.7×	517 2.5×	112	4.3k
Levent Eren Türkiye	14	1.8k 0.9×	1.1k 0.6×	591 0.6×	284 0.7×	285 1.4×	36	2.5k
Zhiliang Liu China	28	1.8k 0.9×	1.5k 0.7×	767 0.8×	319 0.8×	332 1.6×	108	2.9k
Siyu Shao China	15	2.7k 1.4×	1.5k 0.8×	861 0.9×	190 0.5×	611 2.9×	27	3.6k
Xihui Liang Canada	34	2.5k 1.3×	3.0k 1.5×	1.0k 1.1×	365 1.0×	341 1.6×	114	4.5k
Achmad Widodo Indonesia	20	2.2k 1.1×	1.2k 0.6×	676 0.7×	281 0.7×	390 1.8×	106	3.4k
Zong Meng China	28	2.0k 1.0×	1.3k 0.7×	708 0.8×	224 0.6×	283 1.3×	120	2.6k

Countries citing papers authored by Pavan Kumar Kankar

Since Specialization

Citations

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

Fields of papers citing papers by Pavan Kumar Kankar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Kumar Kankar. 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 Pavan Kumar Kankar. The network helps show where Pavan Kumar Kankar may publish in the future.

Co-authorship network of co-authors of Pavan Kumar Kankar

This figure shows the co-authorship network connecting the top 25 collaborators of Pavan Kumar Kankar. A scholar is included among the top collaborators of Pavan Kumar Kankar 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 Pavan Kumar Kankar. Pavan Kumar Kankar 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

Parey, Anand, et al.. (2024). Early pitting fault detection for polymer gears using kurtosis-VMD based condition indicators. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 239(2). 358–370. 1 indexed citations

Gupta, Rishabh, et al.. (2024). Mitigating pressure fluctuations in a faulty axial piston pump using rearrangement of pistons. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(5). 1 indexed citations

Gupta, Rishabh, et al.. (2024). The effect of increasing eccentricity and leakage on the performance of an axial piston pump. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 238(20). 9909–9923.

Miglani, Ankur, et al.. (2024). Enhancing the accuracy of blockage detection in centrifugal pump using the majority voting classifier on an unbalanced dataset. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(3). 1032–1048. 2 indexed citations

Miglani, Ankur, et al.. (2023). Performance evaluation of LSTM and Bi-LSTM using non-convolutional features for blockage detection in centrifugal pump. Engineering Applications of Artificial Intelligence. 122. 106092–106092. 38 indexed citations

Miglani, Ankur, et al.. (2023). Blockage Detection in Centrifugal Pump Using Butterfly Optimization-Based Feature Selection. MAPAN. 38(2). 499–509. 7 indexed citations

Kankar, Pavan Kumar, et al.. (2023). Health prediction of reciprocating endodontic instrument based on the machine learning and exponential degradation models. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 237(10). 1202–1214. 3 indexed citations

Kankar, Pavan Kumar, et al.. (2023). The implication of oversampling on the effectiveness of force signals in the fault detection of endodontic instruments during RCT. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 237(8). 958–974. 3 indexed citations

Miglani, Ankur, et al.. (2022). Jetting Dynamics of Burning Gel Fuel Droplets. Gels. 8(12). 781–781. 3 indexed citations

10.

Miglani, Ankur, et al.. (2022). Performance of centrifugal pump over a range of composite wear ring clearance. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(11). 12 indexed citations

11.

Jain, Prashant K., et al.. (2021). Numerical and experimental analysis of heat transfer in inductive conduction based wire metal deposition process. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 236(5). 2395–2407. 10 indexed citations

12.

Kankar, Pavan Kumar, et al.. (2021). Force and vibration analysis in biomechanical preparation of root canals using reciprocating endodontic file system: In vitro study. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 236(1). 121–133. 4 indexed citations

13.

Kankar, Pavan Kumar, et al.. (2020). Automated bearing fault classification based on discrete wavelet transform method. Life Cycle Reliability and Safety Engineering. 10(2). 99–111. 12 indexed citations

14.

Singhal, Aditi, et al.. (2020). Comparing the capabilities of transfer learning models to detect skin lesion in humans. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 234(10). 1083–1093. 12 indexed citations

15.

Gupta, Sumit, et al.. (2020). An analytical approach to evaluate the maximum load carrying capacity for pin-mounted telescopic hydraulic cylinder. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 234(19). 3919–3934. 5 indexed citations

16.

Sharma, Aditya, M. Amarnath, & Pavan Kumar Kankar. (2019). Nonlinear dynamic analysis of defective rolling element bearing using Higuchi’s fractal dimension. Sadhana. 44(4). 13 indexed citations

17.

Kankar, Pavan Kumar, et al.. (2017). Dynamic analysis of rotor-bearing system by considering the transverse crack on rotor. European Journal of Computational Mechanics. 26(3). 336–350. 8 indexed citations

18.

Kankar, Pavan Kumar, et al.. (2017). An Improved Theoretical Model of Unbalanced Shaft-Bearing System for Accurate Performance Prediction of Ball Bearing Due to Localized Defects. Iranian Journal of Science and Technology Transactions of Mechanical Engineering. 42(3). 293–309. 5 indexed citations

19.

Upadhyay, Rahul, et al.. (2016). A comparative study of feature ranking techniques for epileptic seizure detection using wavelet transform. Computers & Electrical Engineering. 53. 163–176. 40 indexed citations

20.

Harsha, S. P., Pavan Kumar Kankar, & Rajesh Purohit. (2005). Nonlinear dynamic dnalysis of high speed rolling element bearings due to cage run-out. Computer Assisted Mechanics and Engineering Sciences. 31–48.

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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