Ambarish Panda

690 citations
16 papers · 525 · h-index 12

Impact in

Papers in

Ambarish Panda

14 papers receiving 518 citations

Peers

Ambarish Panda
Comparison fields: 5 of 39
  • Energy Engineering and Power Technology 92
  • Control and Systems Engineering 199
  • Electrical and Electronic Engineering 445
  • Safety, Risk, Reliability and Quality 25
  • Automotive Engineering 33
Replace Laura Mehigan with:
Laura Mehigan Ireland
Aihong Tang China
Mahmoud Zadehbagheri Iran
Quynh T. Tran Vietnam
Mehrdad Ghahramani Australia
Ehsan Rahimi Iran
Hanyu Yang China
Alireza Sheikhi Fini Iran
Seyyed Mohammad Sadegh Ghiasi Iran
Jianhui Wong Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Ambarish Panda

Since Specialization
Citations

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

Fields of papers citing papers by Ambarish Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ambarish Panda, 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 Ambarish Panda Line = papers co-authored together Ambarish Panda links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2015115
2 2013103
3 201773
4 202358
5 202041
6 202030
7 202117
8 201617
9 202316
10 202315
11 202315
12 202314
13 20229
14 20242
15 20200
16 20250

About Ambarish Panda

Ambarish Panda is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Automotive Engineering and Pollution, having authored 16 papers that have together received 525 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (10 papers), Electric Power System Optimization (9 papers), Smart Grid Energy Management (8 papers), Hybrid Renewable Energy Systems (5 papers), Optimal Power Flow Distribution (5 papers), Integrated Energy Systems Optimization (3 papers), Energy Load and Power Forecasting (3 papers) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (92 citations), Control and Systems Engineering (199 citations), Electrical and Electronic Engineering (445 citations), Safety, Risk, Reliability and Quality (25 citations) and Automotive Engineering (33 citations). Ambarish Panda has collaborated with scholars based in India, Philippines and Malaysia. Frequent co-authors include M. Tripathy, Umakanta Mishra, Kathleen B. Aviso, Ajit Kumar Barisal, Tapan Prakash, Raymond R. Tan, Ming‐Lang Tseng, Mohd Helmi Ali and Subhransu Padhee. Their work appears in journals such as Journal of Cleaner Production, Energy, Applied Thermal Engineering, Advanced Theory and Simulations and International Journal of Energy Research.

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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