Rupkumar Mahapatra

16 papers and 193 indexed citations i.

About

Rupkumar Mahapatra is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Rupkumar Mahapatra has authored 16 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Computer Networks and Communications. Recurrent topics in Rupkumar Mahapatra’s work include Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Graph Labeling and Dimension Problems (3 papers). Rupkumar Mahapatra is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Graph Labeling and Dimension Problems (3 papers). Rupkumar Mahapatra collaborates with scholars based in India, Türkiye and Faroe Islands. Rupkumar Mahapatra's co-authors include Sovan Samanta, Madhumangal Pal, Qin Xin, Qin Xin, Tofigh Allahviranloo, Robin Singh Bhadoria, Usman Naseem, Shah Khalid Khan, Kousik Das and Antonios Kalampakas and has published in prestigious journals such as Soft Computing, Journal of Intelligent & Fuzzy Systems and Mathematics.

In The Last Decade

Co-authorship network of co-authors of Rupkumar Mahapatra i

Fields of papers citing papers by Rupkumar Mahapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rupkumar Mahapatra

Since Specialization
Citations

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