Binod Shaw

44 papers receiving 998 citations

Peers

Binod Shaw
Comparison fields: 5 of 66
  • Energy Engineering and Power Technology 83
  • Control and Systems Engineering 437
  • Electrical and Electronic Engineering 763
  • Artificial Intelligence 237
  • Computational Theory and Mathematics 79
Replace Mahmoud A. Attia with:
Mahmoud A. Attia Egypt
Saurav Raj India
Hari Mohan Dubey India
Ajit Kumar Barisal India
Amin Foroughi Nematollahi Iran
Mohammad Amin Akbari Iran
Ayşen Demirören Türkiye
Sundaram B. Pandya India
Chunxia Dou China
Nima Nikmehr Iran
Binod Shaw relative to Mahmoud A. Attia Egypt Mahmoud A. Attia's profile →
Citations per field
00.5×2×4×6×8.3×
Mahmoud A. Attia · 1×
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 14 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011225
2 2013185
3 201872
4 201071
5 202059
6 202146
7 202145
8 201134
9 201533
10 202231
11 201126
12 201823
13 202019
14 202219
15 201517
16 202013
17 201112
18 201812
19 201110
20 200210

About Binod Shaw

Binod Shaw is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Automotive Engineering, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Power System Optimization and Stability (17 papers), Frequency Control in Power Systems (16 papers), Microgrid Control and Optimization (16 papers), Energy Load and Power Forecasting (10 papers), Electric Power System Optimization (10 papers), Photovoltaic System Optimization Techniques (9 papers), Optimal Power Flow Distribution (9 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (83 citations), Control and Systems Engineering (437 citations), Electrical and Electronic Engineering (763 citations), Artificial Intelligence (237 citations) and Computational Theory and Mathematics (79 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 B. Popovic, Vinay Pratap Singh, Wayne A. Shiroma and Sakti Prasad Ghoshal. Their work appears in journals such as Engineering Science and Technology an International Journal, International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, Arabian Journal for Science and Engineering and Journal of Ambient Intelligence and Humanized Computing.

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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