Piyush Tagade

1.4k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Piyush Tagade is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Piyush Tagade has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 9 papers in Electrical and Electronic Engineering and 8 papers in Automotive Engineering. Recurrent topics in Piyush Tagade's work include Advancements in Battery Materials (9 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Battery Technologies Research (8 papers). Piyush Tagade is often cited by papers focused on Advancements in Battery Materials (9 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Battery Technologies Research (8 papers). Piyush Tagade collaborates with scholars based in India, South Korea and United States. Piyush Tagade's co-authors include Krishnan S. Hariharan, Subramanya Mayya Kolake, Taewon Song, Taejung Yeo, Seok‐Gwang Doo, Ashish Khandelwal, Arunava Naha, Sanoop Ramachandran, Seong Ho Han and Bookeun Oh and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Scientific Reports.

In The Last Decade

Piyush Tagade

26 papers receiving 1.1k citations

Hit Papers

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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.

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

2015 499 citations Piyush Tagade, Krishnan S. Hariharan et al. Applied Energy profile →

Peers

Countries citing papers authored by Piyush Tagade

Since Specialization

Citations

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

Fields of papers citing papers by Piyush Tagade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Tagade

This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Tagade. A scholar is included among the top collaborators of Piyush Tagade 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 Piyush Tagade. Piyush Tagade 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

#	Work	Indexed citations
1	Smart vibratory peening: An approach towards digitalisation and integration of vibratory special process into smart factories 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Piyush Tagade, Gary Kee Khoon Lee, T. Haubold, A. Senthil Kumar	3
2	An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries 2020 ·Scientific Reports ·Arunava Naha, (unknown), (unknown), Arijit Guha, Ashish Khandelwal, Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, (unknown), Bookeun Oh	55
3	Internal short circuit detection in Li-ion batteries using supervised machine learning 2020 ·Scientific Reports ·Arunava Naha, Ashish Khandelwal, (unknown), Piyush Tagade, Krishnan S. Hariharan, (unknown), (unknown), Subramanya Mayya Kolake, (unknown), Bookeun Oh	115
4	Attribute driven inverse materials design using deep learning Bayesian framework 2019 ·npj Computational Materials ·Piyush Tagade, Shashishekar P. Adiga, S. Pandian, Min‐Sik Park, Krishnan S. Hariharan, Subramanya Mayya Kolake	40
5	Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis 2019 ·Journal of Power Sources ·Piyush Tagade, Krishnan S. Hariharan, Sanoop Ramachandran, Ashish Khandelwal, Arunava Naha, Subramanya Mayya Kolake, Seong Ho Han	174
6	Empirical Relationship between Chemical Structure and Redox Properties: Mathematical Expressions Connecting Structural Features to Energies of Frontier Orbitals and Redox Potentials for Organic Molecules 2018 ·The Journal of Physical Chemistry C ·Piyush Tagade, Shashishekar P. Adiga, Min‐Sik Park, S. Pandian, Krishnan S. Hariharan, Subramanya Mayya Kolake	16
7	Electrochemical stability of ether based salt-in-polymer based electrolytes: Computational investigation of the effect of substitution and the type of salt 2018 ·Journal of Power Sources ·S. Pandian, Shashishekar P. Adiga, Piyush Tagade, Krishnan S. Hariharan, K. Subramanya Mayya, (unknown)	42
8	Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization 2018 ·IEEE Access ·Youngjin Park, Piyush Tagade, Han‐Lim Choi	13
9	Stochastic spectral projection of electrochemical thermal model for lithium-ion cell state estimation 2017 ·Journal of Power Sources ·Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Taewon Song, Dukjin Oh	4
10	Mitigating Gibbs Phenomena in Uncertainty Quantification With a Stochastic Spectral Method 2017 ·Piyush Tagade, Han‐Lim Choi	2
11	Mathematical Modeling of Lithium Batteries 2017 ·Green energy and technology ·Krishnan S. Hariharan, Piyush Tagade, Sanoop Ramachandran	31
12	A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation breakdown → 2015 ·Applied Energy ·(unknown), Piyush Tagade, Krishnan S. Hariharan, Subramanya Mayya Kolake, Taewon Song, Taejung Yeo, Seok‐Gwang Doo	499
13	On a quadratic information measure for data assimilation 2014 ·Piyush Tagade, Sai Ravela	3
14	Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems1 2014 ·Procedia Computer Science ·Piyush Tagade, Hansjörg Seybold, Sai Ravela	9
15	Calibration of Computer Simulator with Non-Gaussian Prior using Dynamically Bi-orthogonal Field Equations 2013 ·54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference ·Piyush Tagade, Han‐Lim Choi	1
16	Startup Simulation of Twin Spool Turbofan Engine 2010 ·International Journal of Turbo and Jet Engines ·Piyush Tagade, (unknown), (unknown)	2
17	Inferencing Component Maps of Gas Turbine Engine Using Bayesian Framework 2010 ·Journal of Propulsion and Power ·Piyush Tagade, K. Sudhakar	0
18	Bayesian Framework for Gas Turbine Simulator with Model Structural Uncertainty 2009 ·50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference ·Piyush Tagade, K. Sudhakar	2
19	Bayesian Framework for Calibration of Gas Turbine Simulator 2008 ·Piyush Tagade, K. Sudhakar, (unknown)	2
20	Effect of Rotor Solidity on Stall Inception and Growth in Axial Flow Fan 2004 ·40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit ·(unknown), Piyush Tagade	1

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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