Binod Shaw

31 papers receiving 872 citations

Peers

Binod Shaw
Comparison fields: 5 of 64
  • Energy Engineering and Power Technology 74
  • Control and Systems Engineering 405
  • Electrical and Electronic Engineering 682
  • Artificial Intelligence 210
  • Computational Theory and Mathematics 74
Replace Saurav Raj with:
Saurav Raj India
Mahmoud A. Attia Egypt
Hari Mohan Dubey India
Amin Foroughi Nematollahi Iran
Ajit Kumar Barisal India
S. K. Bath India
Mohammad Amin Akbari Iran
Ayşen Demirören Türkiye
Chen Yuan United States
Gonggui Chen China
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Citations per year

Countries citing papers authored by Binod Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Binod Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Binod Shaw, 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 Binod Shaw Line = papers co-authored together Binod Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011209
2 2013175
3 201068
4 201866
5 202056
6 202143
7 202139
8 201133
9 201530
10 202228
11 201123
12 201821
13 202220
14 202018
15 201517
16 201111
17 201111
18 200210
19 202010
20 202110

About Binod Shaw

Binod Shaw is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Energy Engineering and Power Technology and Automotive Engineering, having authored 33 papers that have together received 930 indexed citations. Recurring topics across this work include Frequency Control in Power Systems (13 papers), Microgrid Control and Optimization (12 papers), Power System Optimization and Stability (11 papers), Energy Load and Power Forecasting (7 papers), Electric Power System Optimization (7 papers), Optimal Power Flow Distribution (6 papers), Advanced Control Systems Design (4 papers) and Hybrid Renewable Energy Systems (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (74 citations), Control and Systems Engineering (405 citations), Electrical and Electronic Engineering (682 citations), Artificial Intelligence (210 citations) and Computational Theory and Mathematics (74 citations). Binod Shaw has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include V. Mukherjee, S. P. Ghoshal, Jyoti Ranjan Nayak, Binod Kumar Sahu, Raj Kumar Sahu, Abhik Banerjee, Zoya Popović, T. Mader, J.S.H. Schoenberg and Wayne A. Shiroma. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Engineering Science and Technology an International Journal, IET Generation Transmission & Distribution, International Journal of Bio-Inspired Computation and Arabian Journal for Science and Engineering.

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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