Lalita Bhanu Murthy Neti

12 papers and 199 indexed citations i.

About

Lalita Bhanu Murthy Neti is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Lalita Bhanu Murthy Neti has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Software. Recurrent topics in Lalita Bhanu Murthy Neti’s work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Text and Document Classification Technologies (5 papers). Lalita Bhanu Murthy Neti is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Text and Document Classification Technologies (5 papers). Lalita Bhanu Murthy Neti collaborates with scholars based in India, Norway and Australia. Lalita Bhanu Murthy Neti's co-authors include Aruna Malapati, Avinash Kumar, Lov Kumar, Ricardo Colomo‐Palacios, Aneesh Krishna and Sanjay Misra and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Lalita Bhanu Murthy Neti i

Fields of papers citing papers by Lalita Bhanu Murthy Neti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalita Bhanu Murthy Neti. 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 Lalita Bhanu Murthy Neti. The network helps show where Lalita Bhanu Murthy Neti may publish in the future.

Countries citing papers authored by Lalita Bhanu Murthy Neti

Since Specialization
Citations

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