Elizabeth Sherly
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Radiology, Nuclear Medicine and Imaging
- Experimental and Cognitive Psychology
- Co-authors
- Navya JoseBharathi Raja ChakravarthiJohn P. McCraeShardul SuryawanshiRuba PriyadharshiniVigneshwaran MuralidaranRobert MathewJosé Carlos R. Alcantud
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (7 papers)Speech Recognition and Synthesis (5 papers)
- Partner nations
- IndiaIrelandUnited Kingdom
In The Last Decade
Elizabeth Sherly
47 papers receiving 426 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 345
- Computer Vision and Pattern Recognition 81
- Information Systems 55
- Radiology, Nuclear Medicine and Imaging 35
- Experimental and Cognitive Psychology 32
Countries citing papers authored by Elizabeth Sherly
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).
Fields of papers citing papers by Elizabeth Sherly
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.
Co-authorship network of co-authors of Elizabeth Sherly
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Sherly. A scholar is included among the top collaborators of Elizabeth Sherly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth Sherly. Elizabeth Sherly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 50 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | Isolated Word Recognition System for Malayalam using Machine Learning | 3 |
| 15 | A Study on Divergence in Malayalam and Tamil Language in Machine Translation Perceptive | 1 |
| 16 | 2 | |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Morph Analyser for Malayalam Language: A suffix stripping approach | 4 |
About Elizabeth Sherly
Elizabeth Sherly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 52 papers that have together received 507 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (345 citations), Computer Vision and Pattern Recognition (81 citations) and Communication (27 citations). Elizabeth Sherly has collaborated with scholars based in India, Ireland and United Kingdom. Frequent co-authors include Navya Jose, Bharathi Raja Chakravarthi, John P. McCrae, Shardul Suryawanshi, Ruba Priyadharshini, Vigneshwaran Muralidaran, Robert Mathew, José Carlos R. Alcantud, Prasanna Kumar Kumaresan and Thomas Mandl. Their work appears in journals such as IEEE Access, Pattern Recognition and Language Resources and Evaluation.
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.