Ankur Miglani

1.2k total citations
51 papers, 866 citations indexed

About

Ankur Miglani is a scholar working on Computational Mechanics, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ankur Miglani has authored 51 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 19 papers in Mechanical Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Ankur Miglani's work include Hydraulic and Pneumatic Systems (13 papers), Combustion and flame dynamics (12 papers) and Fluid Dynamics and Heat Transfer (8 papers). Ankur Miglani is often cited by papers focused on Hydraulic and Pneumatic Systems (13 papers), Combustion and flame dynamics (12 papers) and Fluid Dynamics and Heat Transfer (8 papers). Ankur Miglani collaborates with scholars based in India, United States and South Korea. Ankur Miglani's co-authors include Saptarshi Basu, Pavan Kumar Kankar, Ranganathan Kumar, Lalit Bansal, Justin A. Weibel, Suresh V. Garimella, Seung Wook Baek, Yonghua Huang, Rishabh Gupta and Rajesh Kumar and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and International Journal of Heat and Mass Transfer.

In The Last Decade

Ankur Miglani

49 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankur Miglani India 18 325 251 182 180 176 51 866
Ningbo Zhao China 17 158 0.5× 374 1.5× 334 1.8× 99 0.6× 143 0.8× 34 832
Fathollah Ommi Iran 18 389 1.2× 278 1.1× 300 1.6× 173 1.0× 38 0.2× 90 1.0k
Xunfeng Li China 16 484 1.5× 265 1.1× 403 2.2× 106 0.6× 59 0.3× 72 899
Oyuna Rybdylova United Kingdom 14 481 1.5× 190 0.8× 81 0.4× 154 0.9× 38 0.2× 48 709
Xiuzhen Ma China 17 240 0.7× 146 0.6× 365 2.0× 108 0.6× 53 0.3× 84 922
Fujun Zhang China 24 605 1.9× 405 1.6× 547 3.0× 247 1.4× 49 0.3× 127 1.7k
Nima Amanifard Iran 16 264 0.8× 147 0.6× 280 1.5× 272 1.5× 50 0.3× 63 858
Shilie Weng China 17 117 0.4× 146 0.6× 301 1.7× 281 1.6× 81 0.5× 85 899
P. J. Shayler United Kingdom 24 428 1.3× 425 1.7× 374 2.1× 77 0.4× 73 0.4× 94 1.5k

Countries citing papers authored by Ankur Miglani

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Miglani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Miglani

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Miglani. A scholar is included among the top collaborators of Ankur Miglani 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 Ankur Miglani. Ankur Miglani 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.
Miglani, Ankur, et al.. (2025). Blockage detection in centrifugal pump using semi-supervised machine learning based on SVM and LSTM. Measurement Science and Technology. 36(3). 36215–36215. 1 indexed citations
2.
Kumar, Deepak, et al.. (2025). InceptionV3 based blockage fault diagnosis of centrifugal pump. Advanced Engineering Informatics. 65. 103181–103181. 5 indexed citations
3.
Miglani, Ankur, et al.. (2025). The characterization of damages and their severity in milled rice by applying unsupervised learning to a high-magnification image dataset. Journal of Food Measurement & Characterization. 19(11). 8403–8429.
4.
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
5.
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.
6.
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
7.
Miglani, Ankur, et al.. (2023). Blockage Detection in Centrifugal Pump Using Butterfly Optimization-Based Feature Selection. MAPAN. 38(2). 499–509. 7 indexed citations
8.
Miglani, Ankur, et al.. (2023). The characterization of disruptive combustion of organic gellant-laden ethanol fuel droplets. Combustion and Flame. 257. 113018–113018. 4 indexed citations
9.
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
10.
Miglani, Ankur, et al.. (2023). Time-Varying Oscillatory Response of Burning Gel Fuel Droplets. Gels. 9(4). 309–309. 1 indexed citations
11.
Prakash, Jatin, et al.. (2023). Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models. Journal of Computing and Information Science in Engineering. 23(5). 8 indexed citations
12.
Miglani, Ankur, et al.. (2022). Jetting Dynamics of Burning Gel Fuel Droplets. Gels. 8(12). 781–781. 3 indexed citations
13.
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
14.
Miglani, Ankur, et al.. (2022). Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers. Journal of Computing and Information Science in Engineering. 23(4). 8 indexed citations
15.
Miglani, Ankur, et al.. (2022). Structural characterization and regression rate of solidified ethanol fuels for hybrid rocket applications. Fuel. 336. 127152–127152. 6 indexed citations
16.
Kankar, Pavan Kumar, et al.. (2021). Fault Diagnosis in Centrifugal Pump using Support Vector Machine and Artificial Neural Network. Journal of Engineering Research. 17 indexed citations
17.
Miglani, Ankur, et al.. (2017). Oscillatory bursting of gel fuel droplets in a reacting environment. Scientific Reports. 7(1). 3088–3088. 15 indexed citations
18.
Bansal, Lalit, Ankur Miglani, & Saptarshi Basu. (2016). Morphological transitions and buckling characteristics in a nanoparticle-laden sessile droplet resting on a heated hydrophobic substrate. Physical review. E. 93(4). 42605–42605. 18 indexed citations
19.
Miglani, Ankur, et al.. (2016). Disruptive Combustion Behavior of Gelled Ethanol Fuel droplets. 2 indexed citations
20.
Miglani, Ankur, et al.. (2013). Nucleation dynamics and pool boiling characteristics of high pressure refrigerant using thermochromic liquid crystals. International Journal of Heat and Mass Transfer. 60. 188–200. 13 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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