Elizabeth Sherly

24 papers and 224 indexed citations i.

About

Elizabeth Sherly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Elizabeth Sherly has authored 24 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Elizabeth Sherly’s work include AI in cancer detection (3 papers), Natural Language Processing Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Elizabeth Sherly is often cited by papers focused on AI in cancer detection (3 papers), Natural Language Processing Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Elizabeth Sherly collaborates with scholars based in India, Ireland and Russia. Elizabeth Sherly's co-authors include Bharathi Raja Chakravarthi, John P. McCrae, Shardul Suryawanshi, Navya Jose, Vigneshwaran Muralidaran, Ruba Priyadharshini, José Carlos R. Alcantud, Robert Mathew, Jemal Abawajy and Jimson Mathew and has published in prestigious journals such as IEEE Access, Pattern Recognition and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Elizabeth Sherly i

Fields of papers citing papers by Elizabeth Sherly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elizabeth Sherly

Since Specialization
Citations

This map shows the geographic impact of Elizabeth Sherly'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 Elizabeth Sherly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Sherly 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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2025