M. Tripathy

1.8k total citations
37 papers, 1.3k citations indexed

About

M. Tripathy is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, M. Tripathy has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 4 papers in Aerospace Engineering. Recurrent topics in M. Tripathy's work include Microgrid Control and Optimization (14 papers), Power System Optimization and Stability (13 papers) and Frequency Control in Power Systems (12 papers). M. Tripathy is often cited by papers focused on Microgrid Control and Optimization (14 papers), Power System Optimization and Stability (13 papers) and Frequency Control in Power Systems (12 papers). M. Tripathy collaborates with scholars based in India, United States and Australia. M. Tripathy's co-authors include Sukumar Mishra, Ambarish Panda, Ajit Kumar Barisal, J. Nanda, Deepak Lal, Nilanjan Senroy, Zhao Yang Dong, Yateendra Mishra, P.K. Dash and Tapan Prakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and IEEE Transactions on Power Systems.

In The Last Decade

M. Tripathy

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Tripathy India 18 1.2k 713 109 74 64 37 1.3k
Ajit Kumar Barisal India 19 1.4k 1.2× 650 0.9× 237 2.2× 95 1.3× 32 0.5× 58 1.6k
Yanchun Xu China 14 569 0.5× 375 0.5× 66 0.6× 63 0.9× 16 0.3× 37 719
Qixun Yang China 17 740 0.6× 617 0.9× 62 0.6× 19 0.3× 18 0.3× 82 862
Ziming Yan Singapore 12 709 0.6× 506 0.7× 67 0.6× 81 1.1× 15 0.2× 30 880
Yinhong Li China 20 944 0.8× 577 0.8× 102 0.9× 42 0.6× 14 0.2× 80 1.1k
Kai Liao China 17 1.2k 1.0× 866 1.2× 38 0.3× 148 2.0× 41 0.6× 97 1.3k
Ayşen Demirören Türkiye 16 772 0.7× 685 1.0× 119 1.1× 172 2.3× 13 0.2× 42 1.0k
Tapan Prakash India 13 476 0.4× 354 0.5× 63 0.6× 38 0.5× 14 0.2× 36 611
A. Ebenezer Jeyakumar India 13 1.1k 0.9× 255 0.4× 177 1.6× 38 0.5× 48 0.8× 53 1.3k
Ramesh Chandra Prusty India 24 1.4k 1.2× 1.3k 1.8× 80 0.7× 184 2.5× 14 0.2× 73 1.6k

Countries citing papers authored by M. Tripathy

Since Specialization
Citations

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

Fields of papers citing papers by M. Tripathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tripathy

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tripathy. A scholar is included among the top collaborators of M. Tripathy 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 M. Tripathy. M. Tripathy 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.
Akiki, Teddy J., M. Tripathy, Xue Zhang, et al.. (2025). 159. Transformer-Based Foundation Model for Functional Neuroimaging. Biological Psychiatry. 97(9). S160–S161. 1 indexed citations
2.
Tripathy, M., et al.. (2023). A survey on different techniques for distribution network reconfiguration. Journal of Engineering Research. 12(1). 173–181. 23 indexed citations
3.
4.
Tripathy, M., et al.. (2018). Cost savings and emission reduction capability of wind-integrated power systems. International Journal of Electrical Power & Energy Systems. 104. 549–561. 20 indexed citations
5.
Tripathy, M., et al.. (2018). Impact of Load and Wind Uncertainties on Capacity Factor of Thermal Generators. 82. 1–5. 2 indexed citations
6.
Lal, Deepak, Ajit Kumar Barisal, & M. Tripathy. (2018). Load Frequency Control of Multi Source Multi-Area Nonlinear Power System with DE-PSO Optimized Fuzzy PID Controller in Coordination with SSSC and RFB. International Journal of Control and Automation. 11(7). 61–80. 12 indexed citations
7.
Tripathy, M., et al.. (2018). Estimating wind speed probability distribution based on measured data at Burla in Odisha, India. Energy Sources Part A Recovery Utilization and Environmental Effects. 41(8). 918–930. 15 indexed citations
8.
Tripathy, M., et al.. (2017). Non dominated Cuckoo search algorithm optimized controllers to improve the frequency regulation characteristics of wind thermal power system. Engineering Science and Technology an International Journal. 20(3). 1092–1105. 15 indexed citations
9.
Panda, Ambarish, M. Tripathy, Ajit Kumar Barisal, & Tapan Prakash. (2017). A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM. Energy. 124. 720–740. 72 indexed citations
10.
Lal, Deepak, Ajit Kumar Barisal, & M. Tripathy. (2016). Grey Wolf Optimizer Algorithm Based Fuzzy PID Controller for AGC of Multi-area Power System with TCPS. Procedia Computer Science. 92. 99–105. 49 indexed citations
11.
Tripathy, M., et al.. (2016). Impacts of wind generators penetration in power systems towards voltage stability. 1–5. 2 indexed citations
12.
Tripathy, M., et al.. (2015). Design of an optimal SMES for automatic generation control of two-area thermal power system using Cuckoo search algorithm. SHILAP Revista de lepidopterología. 2(1). 1–13. 34 indexed citations
13.
Panda, Ambarish & M. Tripathy. (2015). Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm. Energy. 93. 816–827. 116 indexed citations
14.
Tripathy, M. & Sukumar Mishra. (2014). Coordinated tuning of PSS and TCSC to improve Hopf Bifurcation margin in multimachine power system by a modified Bacteria Foraging Algorithm. International Journal of Electrical Power & Energy Systems. 66. 97–109. 26 indexed citations
15.
Panda, S., Debadutta Mishra, Bharat B. Biswal, & M. Tripathy. (2013). Revolute manipulator workspace optimization using a modified bacteria foraging algorithm: A comparative study. Engineering Optimization. 46(2). 181–199. 6 indexed citations
16.
Panda, Ambarish & M. Tripathy. (2013). Optimal power flow solution of wind integrated power system using modified bacteria foraging algorithm. International Journal of Electrical Power & Energy Systems. 54. 306–314. 104 indexed citations
17.
Tripathy, M., et al.. (2011). Recent techniques used in transmission line protection: A review. International Journal of Engineering Science and Technology. 3(3). 28 indexed citations
18.
Tripathy, M., R. P. Maheshwari, & Harish Verma. (2010). Improved transformer protection using probabilistic neural network and power differential method. International Journal of Engineering Science and Technology. 2(3). 10 indexed citations
19.
Tripathy, M. & Sukumar Mishra. (2006). Optimizing Voltage Stability Limit and Real Power Loss in a Large Power System using Bacteria Foraging. 1–6. 7 indexed citations
20.
Mishra, Sukumar, B.K. Panigrahi, & M. Tripathy. (2005). A hybrid adaptive-bacterial-foraging and feedback linearization scheme based D-STATCOM. 1. 275–280. 11 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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