Pratima Kumari

1.5k citations
11 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Photovoltaic System Optimization Techniques (4 papers)Solar Radiation and Photovoltaics (4 papers)Energy Load and Power Forecasting (4 papers)
Partner nations
IndiaUnited States

In The Last Decade

Pratima Kumari

11 papers receiving 1.0k citations

Hit Papers

Deep learning models for solar irradiance forecasting: A ...2021202620222024202150100150200250

Peers

Pratima Kumari
Comparison fields: 5 of 105
  • Artificial Intelligence 548
  • Electrical and Electronic Engineering 486
  • Renewable Energy, Sustainability and the Environment 353
  • Global and Planetary Change 267
  • Health, Toxicology and Mutagenesis 219
Replace I. Santiago with:
I. Santiago Spain
Liqun Liu China
Caleb Robinson United States
Dan Assouline Switzerland
Alexandros G. Charalambides Cyprus
Nurulkamal Masseran Malaysia
Shashwat Garg India
Galen Maclaurin United States
S. Karatasou Greece
Qingping Zhou China
Pratima Kumari relative to I. Santiago Spain I. Santiago's profile →
Citations per field
00.5×8.4×
I. Santiago · 1×
Citations per year

Countries citing papers authored by Pratima Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Pratima Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratima Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Pratima Kumari. A scholar is included among the top collaborators of Pratima Kumari 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 Pratima Kumari. Pratima Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 20
3 20
4 207
5
Deep learning models for solar irradiance forecasting: A comprehensive reviewbreakdown →
262
6 165
7 161
8 189
9 21
10 12
11 9

About Pratima Kumari

Pratima Kumari is a scholar working on General Social Sciences, Renewable Energy, Sustainability and the Environment and Modeling and Simulation, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (4 papers), Solar Radiation and Photovoltaics (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (353 citations), Artificial Intelligence (548 citations) and Health, Toxicology and Mutagenesis (219 citations). Pratima Kumari has collaborated with scholars based in India and United States. Frequent co-authors include Durga Toshniwal, Rajesh Wadhvani, Sachin Kadian and Prashanthi Vemuri. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and Electrochimica Acta.

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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