K Saravanan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Molecular Biology
- Biomedical Engineering
- Co-authors
- A. KumaranRaghavendra UdupaJagadeesh JagarlamudiSandhiya ViswanathanSuresh RajendranMonojit ChoudhuryPushpak BhattacharyyaΚ. V. Subbarao
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (8 papers)Network Security and Intrusion Detection (5 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
K Saravanan
24 papers receiving 233 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 36
- Information Systems 33
- Molecular Biology 30
- Biomedical Engineering 26
Countries citing papers authored by K Saravanan
This map shows the geographic impact of K Saravanan'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 K Saravanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Saravanan more than expected).
Fields of papers citing papers by K Saravanan
This network shows the impact of papers produced by K Saravanan. 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 K Saravanan. The network helps show where K Saravanan may publish in the future.
Co-authorship network of co-authors of K Saravanan
This figure shows the co-authorship network connecting the top 25 collaborators of K Saravanan. A scholar is included among the top collaborators of K Saravanan 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 K Saravanan. K Saravanan 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 | 3 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | An Empirical Study of the Occurrence and Co-Occurrence of Named Entities in Natural Language Corpora | 2 |
| 14 | 9 | |
| 15 | Crosslingual Information Retrieval System Enhanced with Transliteration Generation and Mining | 11 |
| 16 | 1 | |
| 17 | A Common Parts-of-Speech Tagset Framework for Indian Languages. | 23 |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 16 |
About K Saravanan
K Saravanan is a scholar working on Artificial Intelligence, Hardware and Architecture and Communication, having authored 28 papers that have together received 270 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Communication (20 citations) and Computer Vision and Pattern Recognition (36 citations). K Saravanan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include A. Kumaran, Raghavendra Udupa, Jagadeesh Jagarlamudi, Sandhiya Viswanathan, Suresh Rajendran, Monojit Choudhury, Pushpak Bhattacharyya, Κ. V. Subbarao, Kalika Bali and Thirunavukkarasu Palaniyandi. Their work appears in journals such as Clinica Chimica Acta, Language Resources and Evaluation and Pathology - Research and Practice.
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.