Sobha Lalitha Devi

22 papers and 71 indexed citations i.

About

Sobha Lalitha Devi is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sobha Lalitha Devi has authored 22 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sobha Lalitha Devi’s work include Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (5 papers). Sobha Lalitha Devi is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Biomedical Text Mining and Ontologies (5 papers). Sobha Lalitha Devi collaborates with scholars based in India, United States and Austria. Sobha Lalitha Devi's co-authors include Elisabeth Lex, Ruslan Mitkov, António Branco, V. Kavitha, K Saravanan, Kalika Bali, Suresh Rajendran, Pushpak Bhattacharyya, Κ. V. Subbarao and Paolo Rosso and has published in prestigious journals such as Lecture notes in computer science, Sadhana and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Co-authorship network of co-authors of Sobha Lalitha Devi i

Fields of papers citing papers by Sobha Lalitha Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sobha Lalitha Devi. 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 Sobha Lalitha Devi. The network helps show where Sobha Lalitha Devi may publish in the future.

Countries citing papers authored by Sobha Lalitha Devi

Since Specialization
Citations

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