Ritesh Dash

1.0k citations
132 papers · 653 · h-index 16

Impact in

Papers in

Ritesh Dash

104 papers receiving 632 citations

Peers

Ritesh Dash
Comparison fields: 5 of 54
  • Energy Engineering and Power Technology 81
  • Renewable Energy, Sustainability and the Environment 231
  • Control and Systems Engineering 281
  • Electrical and Electronic Engineering 434
  • Artificial Intelligence 174
Replace Z. M. S. Elbarbary with:
Z. M. S. Elbarbary Saudi Arabia
Charles R. Sarimuthu Malaysia
D. K. Palwalia India
B. Chitti Babu India
Mohamed Salah Salhi Tunisia
Gökay Bayrak Türkiye
Mohd Zamri Che Wanik Malaysia
Sigifredo Gonzalez United States
Temitayo O. Olowu United States
Cristian Chiñas‐Palacios Mexico
Ritesh Dash relative to Z. M. S. Elbarbary Saudi Arabia Z. M. S. Elbarbary's profile →
Citations per field
00.5×5.8×
Z. M. S. Elbarbary · 1×
Citations per year

Countries citing papers authored by Ritesh Dash

Since Specialization
Citations

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

Fields of papers citing papers by Ritesh Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ritesh Dash, 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 Ritesh Dash Line = papers co-authored together Ritesh Dash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 202232
3 201522
4 201821
5 202020
6 201820
7 201720
8 201619
9 201819
10 201817
11 202217
12 201517
13 202416
14 201515
15 201815
16 201415
17 201814
18 201813
19 201713
20 202212

About Ritesh Dash

Ritesh Dash is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Energy Engineering and Power Technology, having authored 132 papers that have together received 653 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (56 papers), Photovoltaic System Optimization Techniques (44 papers), Solar Radiation and Photovoltaics (30 papers), Energy Load and Power Forecasting (24 papers), Smart Grid Energy Management (24 papers), Advanced DC-DC Converters (15 papers), Multilevel Inverters and Converters (14 papers) and Power Systems and Renewable Energy (12 papers). The work is most often cited by research in Energy Engineering and Power Technology (81 citations), Renewable Energy, Sustainability and the Environment (231 citations), Control and Systems Engineering (281 citations), Electrical and Electronic Engineering (434 citations) and Artificial Intelligence (174 citations). Ritesh Dash has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent co-authors include Sarat Chandra Swain, Riya Paul, Satyabrata Sahoo, Arjyadhara Pradhan, Ullash Kumar Rout, B. Hemanth Kumar, C. Dhanamjayulu, S. M. Muyeen, Faruq Mohammad and Padarbinda Samal. Their work appears in journals such as Scientific Reports, IEEE Access, Sustainability, Heliyon and Energy and AI.

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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