Babita Majhi

34 papers and 397 indexed citations i.

About

Babita Majhi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Babita Majhi has authored 34 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 7 papers in Signal Processing. Recurrent topics in Babita Majhi’s work include Neural Networks and Applications (7 papers), Advanced Adaptive Filtering Techniques (6 papers) and Stock Market Forecasting Methods (6 papers). Babita Majhi is often cited by papers focused on Neural Networks and Applications (7 papers), Advanced Adaptive Filtering Techniques (6 papers) and Stock Market Forecasting Methods (6 papers). Babita Majhi collaborates with scholars based in India, United Kingdom and Japan. Babita Majhi's co-authors include Ritanjali Majhi, Ganapati Panda, Pradyot Ranjan Jena, Shunsuke Managi, G. Sahoo, B. Mulgrew, Sudhanshu Mishra, Ganapati Panda, Gayadhar Panda and S. Dash and has published in prestigious journals such as Expert Systems with Applications, Sustainability and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Babita Majhi i

Fields of papers citing papers by Babita Majhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Babita Majhi

Since Specialization
Citations

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