Mukta Paliwal

About

Mukta Paliwal is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Mukta Paliwal has authored 6 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Statistics and Probability. Recurrent topics in Mukta Paliwal’s work include Neural Networks and Applications (3 papers), Stock Market Forecasting Methods (3 papers) and Imbalanced Data Classification Techniques (2 papers). Mukta Paliwal is often cited by papers focused on Neural Networks and Applications (3 papers), Stock Market Forecasting Methods (3 papers) and Imbalanced Data Classification Techniques (2 papers). Mukta Paliwal collaborates with scholars based in India. Mukta Paliwal's co-authors include Usha A. Kumar and Anand Patwardhan and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Natural Hazards.

In The Last Decade

Co-authorship network of co-authors of Mukta Paliwal i

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Fields of papers citing papers by Mukta Paliwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mukta Paliwal

Since Specialization

Citations

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