Tejaswini Deoskar

12 papers and 41 indexed citations i.

About

Tejaswini Deoskar is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tejaswini Deoskar has authored 12 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Biomedical Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Tejaswini Deoskar’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Tejaswini Deoskar is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Tejaswini Deoskar collaborates with scholars based in United Kingdom, The Netherlands and United States. Tejaswini Deoskar's co-authors include Mark Steedman, Bharat Ram Ambati, Mark Johnson, Mats Rooth, Khalil Sima’an, P.G.M. van der Heijden, Christos Christodoulopoulos, Alexandra Birch, David J. Hessen and Rick Nouwen and has published in prestigious journals such as IEEE Pervasive Computing, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Tejaswini Deoskar i

Fields of papers citing papers by Tejaswini Deoskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tejaswini Deoskar

Since Specialization
Citations

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