Aruna Malapati

About

Aruna Malapati is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Aruna Malapati has authored 17 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Mechanical Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Aruna Malapati’s work include Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Aruna Malapati is often cited by papers focused on Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Aruna Malapati collaborates with scholars based in India. Aruna Malapati's co-authors include Lalita Bhanu Murthy Neti, Avinash Kumar, Perumal Yogeeswari, Dharmarajan Sriram, G. R. Sabareesh and Dharmarajan Sriram and has published in prestigious journals such as IEEE Access, Current Medicinal Chemistry and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Aruna Malapati i

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Fields of papers citing papers by Aruna Malapati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aruna Malapati

Since Specialization

Citations

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