Prashant Tiwari

707 total citations · 1 hit paper
19 papers, 487 citations indexed

About

Prashant Tiwari is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanics of Materials. According to data from OpenAlex, Prashant Tiwari has authored 19 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 6 papers in Automotive Engineering and 4 papers in Mechanics of Materials. Recurrent topics in Prashant Tiwari's work include Machine Fault Diagnosis Techniques (6 papers), Traffic control and management (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Prashant Tiwari is often cited by papers focused on Machine Fault Diagnosis Techniques (6 papers), Traffic control and management (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Prashant Tiwari collaborates with scholars based in India and United States. Prashant Tiwari's co-authors include Kyungtae Han, Ziran Wang, Haoxin Wang, Nejib Ammar, Rohit Kumar Gupta, Sanjay Upadhyay, Matthew Barth, Guoyuan Wu, BaekGyu Kim and Zhenyu Shou and has published in prestigious journals such as Journal of Sound and Vibration, IEEE Internet of Things Journal and Journal of Building Engineering.

In The Last Decade

Prashant Tiwari

18 papers receiving 474 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.

Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges

2022 188 citations Ziran Wang, Rohit Kumar Gupta et al. IEEE Internet of Things Journal profile →

Peers

Prashant Tiwari

CSE

IME

CNC

Xishun Liao United States

Szilárd Aradi Hungary

Abdelkader El Kamel France

Xuanpeng Zhao United States

Viktor Tihanyi Hungary

Balázs Varga Hungary

Vladimir Kuts Estonia

Meng Lu China

Raivo Sell Estonia

Sifa Zheng China

Xishun Liao United States

Prashant Tiwari

255 ×1.4

197 ×1.2

CSE

92 ×0.8

IME

65 ×1.0

CNC

42 ×0.6

Citations per year, relative to Prashant Tiwari Prashant Tiwari (= 1×) peers Xishun Liao

Countries citing papers authored by Prashant Tiwari

Since Specialization

Citations

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

Fields of papers citing papers by Prashant Tiwari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Tiwari. A scholar is included among the top collaborators of Prashant Tiwari 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 Prashant Tiwari. Prashant Tiwari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Tiwari, Prashant, et al.. (2025). An efficient coordinated energy trading mechanism for economic sustainability of EVCSs and EVs in competitive electricity market. Sustainable Energy Grids and Networks. 42. 101712–101712.

Rai, Akhand, et al.. (2024). Gear fault diagnosis based on complex network theory and error-correcting output codes: Multi class support vector machine. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 238(6). 1135–1152. 2 indexed citations

Tiwari, Prashant, et al.. (2024). Efficient Energy Management for Grid-Connected PV and EV Charging Stations with HES System Using Fuzzy Logic-Based MPPT Control. 1–6. 1 indexed citations

Patil, Chirag G., et al.. (2023). Eyes on the Road: A Machine Learning-based Fatigue Detection System for Safer Driving. 1799–1805. 2 indexed citations

Tiwari, Prashant, et al.. (2023). User-defined high impulsive frequency acquisition model for mechanical damage identification. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 237(2). 325–340. 3 indexed citations

Wang, Ziran, Kyungtae Han, Rohit Gupta, et al.. (2022). Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning. 2022 International Conference on Robotics and Automation (ICRA). 2891–2897. 39 indexed citations

Wang, Ziran, Rohit Kumar Gupta, Kyungtae Han, et al.. (2022). Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges. IEEE Internet of Things Journal. 9(18). 17452–17467. 188 indexed citations breakdown →

Singh, Ghanapriya, et al.. (2021). Nonparametric damage detection and localization model of framed civil structure based on local gravitation clustering analysis. Journal of Building Engineering. 44. 103339–103339. 9 indexed citations

Wang, Yanbin, Ziran Wang, Kyungtae Han, Prashant Tiwari, & Daniel B. Work. (2021). Personalized Adaptive Cruise Control via Gaussian Process Regression. 1496–1502. 17 indexed citations

10.

Wang, Ziran, et al.. (2021). Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Transactions on Intelligent Vehicles. 7(2). 210–220. 46 indexed citations

11.

Tiwari, Prashant & Sanjay Upadhyay. (2021). Novel self-adaptive vibration signal analysis: Concealed component decomposition and its application in bearing fault diagnosis. Journal of Sound and Vibration. 502. 116079–116079. 37 indexed citations

12.

Tiwari, Prashant, et al.. (2020). Advance spectral approach for condition evaluation of rolling element bearings. ISA Transactions. 103. 366–389. 6 indexed citations

13.

Tiwari, Prashant, Abhishek Choudhary, Saurabh Gupta, Joydip Dhar, & Prasenjit Chanak. (2020). Sensitive Brain-Computer Interface to help manoeuvre a Miniature Wheelchair using Electroencephalography. 1–6. 5 indexed citations

14.

Wang, Ziran, Xishun Liao, David Oswald, et al.. (2020). Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Transactions on Intelligent Vehicles. 5(4). 738–749. 73 indexed citations

15.

Shou, Zhenyu, Ziran Wang, Kyungtae Han, et al.. (2020). Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. 246–252. 22 indexed citations

16.

Tiwari, Prashant, et al.. (2019). Elucidation of ball bearing performance utilizing product functions of vibration signals and locality sensitive discriminant analysis. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 234(1). 50–66. 5 indexed citations

17.

Han, Kyungtae, et al.. (2019). A Case Study of Trust on Autonomous Driving. 4368–4373. 24 indexed citations

18.

Tiwari, Prashant, et al.. (2018). Degradation assessment of ball bearings utilizing curvilinear component analysis. Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics. 233(3). 714–730. 6 indexed citations

19.

Tiwari, Prashant, Alex Stein, & Yuliang Lin. (2011). Dual-Solution and Choked Flow Treatment in a Streamline Curvature Throughflow Solver. 923–933. 2 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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