T. V. Geetha
- Artificial Intelligence top 5%
- Information Systems top 10%
- Computer Science Applications top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- T. MalaS. SaraswathiJ. BalajiRajeswari SridharNirosha J. MuruganM. SenthilvelanS. SendhilkumarG. Aghila
- Topics
- Topic Modeling (24 papers)Natural Language Processing Techniques (22 papers)Advanced Text Analysis Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial Intelligence ReviewEngineering Applications of Artificial Intelligence
In The Last Decade
T. V. Geetha
61 papers receiving 324 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 226
- Information Systems 73
- Computer Science Applications 54
- Computer Vision and Pattern Recognition 39
- Signal Processing 37
Countries citing papers authored by T. V. Geetha
This map shows the geographic impact of T. V. Geetha'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 T. V. Geetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. V. Geetha more than expected).
Fields of papers citing papers by T. V. Geetha
This network shows the impact of papers produced by T. V. Geetha. 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 T. V. Geetha. The network helps show where T. V. Geetha may publish in the future.
Co-authorship network of co-authors of T. V. Geetha
This figure shows the co-authorship network connecting the top 25 collaborators of T. V. Geetha. A scholar is included among the top collaborators of T. V. Geetha 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 T. V. Geetha. T. V. Geetha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Impact of rearing of mulberry silkworm (Bombyx mori L) on thrips (Pseudodendrothrips mori Niwa) infested mulberry leaves. | 1 |
| 4 | 57 | |
| 5 | Language Models for Tamil Speech Recognition System | 0 |
| 6 | 2 | |
| 7 | Two-Stage Bootstrapping for Anaphora Resolution | 5 |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | Anaphora Resolution in Tamil using Universal Networking Language. | 4 |
| 12 | UNL based Context Clustering for News Event Detection. | 1 |
| 13 | 2 | |
| 14 | 2 | |
| 15 | An Evaluation of Personalized Web Search for an Individual User. | 2 |
| 16 | Named Entity Recognition in Tamil using Context-cues and the E-M algorithm. | 2 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 2 |
About T. V. Geetha
T. V. Geetha is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 69 papers that have together received 361 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (22 papers) and Advanced Text Analysis Techniques (16 papers). The work is most often cited by research in Computer Science Applications (54 citations), Artificial Intelligence (226 citations) and Signal Processing (37 citations). T. V. Geetha has collaborated with scholars based in India, Singapore and Canada. Frequent co-authors include T. Mala, S. Saraswathi, J. Balaji, Rajeswari Sridhar, Nirosha J. Murugan, M. Senthilvelan, S. Sendhilkumar, G. Aghila, K. Mahalakshmi and C. N. Subalalitha. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Engineering Applications of Artificial Intelligence.
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.