Dadabada Pradeepkumar

3 papers and 255 indexed citations i.

About

Dadabada Pradeepkumar is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dadabada Pradeepkumar has authored 3 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Science and Operations Research, 2 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Dadabada Pradeepkumar’s work include Stock Market Forecasting Methods (3 papers), Energy Load and Power Forecasting (2 papers) and Neural Networks and Applications (1 paper). Dadabada Pradeepkumar is often cited by papers focused on Stock Market Forecasting Methods (3 papers), Energy Load and Power Forecasting (2 papers) and Neural Networks and Applications (1 paper). Dadabada Pradeepkumar collaborates with scholars based in India and United States. Dadabada Pradeepkumar's co-authors include Vadlamani Ravi and Kalyanmoy Deb and has published in prestigious journals such as Applied Soft Computing, Computers & Operations Research and Swarm and Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Dadabada Pradeepkumar i

Fields of papers citing papers by Dadabada Pradeepkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dadabada Pradeepkumar

Since Specialization
Citations

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