Irani Majumder

9 papers and 269 indexed citations i.

About

Irani Majumder is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Irani Majumder has authored 9 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Irani Majumder’s work include Energy Load and Power Forecasting (5 papers), Machine Learning and ELM (4 papers) and Solar Radiation and Photovoltaics (4 papers). Irani Majumder is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Machine Learning and ELM (4 papers) and Solar Radiation and Photovoltaics (4 papers). Irani Majumder collaborates with scholars based in India and Malaysia. Irani Majumder's co-authors include Niranjan Nayak, Manoja Kumar Behera, P.K. Dash, Ranjeeta Bisoi, Snehamoy Dhar, Sthita Prajna Mishra and Pravat Kumar Rout and has published in prestigious journals such as Energy Conversion and Management, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Irani Majumder i

Fields of papers citing papers by Irani Majumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irani Majumder

Since Specialization
Citations

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

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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2025