Mayank Jha

528 citations
41 papers · 316 · h-index 10

Impact in

Papers in

Mayank Jha

31 papers receiving 307 citations

Peers

Mayank Jha
Comparison fields: 5 of 75
  • Automotive Engineering 96
  • Safety, Risk, Reliability and Quality 57
  • Control and Systems Engineering 134
  • Electrical and Electronic Engineering 104
  • Statistics, Probability and Uncertainty 10
Replace Haibo Gao with:
Haibo Gao China
Matej Gašperin Slovenia
Ghaleb Hoblos France
Khaled Benaggoune Algeria
Nadji Hadroug Algeria
Esteban R. Gelso Sweden
Ning Xie China
Samir Benmoussa France
Zhelin Huang China
Mayank Jha relative to Haibo Gao China Haibo Gao's profile →
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Countries citing papers authored by Mayank Jha

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayank Jha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayank Jha Line = papers co-authored together Mayank Jha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201664
2 201649
3 201930
4 202022
5 202221
6 202414
7 202114
8 202410
9 201910
10 20249
11 20176
12 20226
13 20226
14 20226
15
Path Planning and Controlling of Omni-Directional Robot Using Cartesian Odometry and PID Algorithm
20195
16 20145
17 20235
18 20234
19 20234
20 20224

About Mayank Jha

Mayank Jha is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Computational Theory and Mathematics and Biomedical Engineering, having authored 41 papers that have together received 316 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (12 papers), Reliability and Maintenance Optimization (8 papers), Machine Fault Diagnosis Techniques (8 papers), Adaptive Dynamic Programming Control (6 papers), Reinforcement Learning in Robotics (4 papers), Advanced Battery Technologies Research (4 papers), Adaptive Control of Nonlinear Systems (3 papers) and Mechanical Circulatory Support Devices (3 papers). The work is most often cited by research in Automotive Engineering (96 citations), Safety, Risk, Reliability and Quality (57 citations), Control and Systems Engineering (134 citations), Electrical and Electronic Engineering (104 citations) and Statistics, Probability and Uncertainty (10 citations). Mayank Jha has collaborated with scholars based in France, India and United States. Frequent co-authors include G. Dauphin-Tanguy, Belkacem Ould-Bouamama, Mathieu Bressel, Sungho Suh, Frede Blaabjerg, Hugues Garnier, Ahteshamul Haque, Varaha Satya Bharath Kurukuru, Mohammed Ali Khan and Didier Theilliol. Their work appears in journals such as Mechanical Systems and Signal Processing, Current Problems in Cardiology, International Journal of Robust and Nonlinear Control, Circulation and International Journal of Prognostics and Health Management.

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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