Suresh Rajendran
About
In The Last Decade
Suresh Rajendran
80 papers receiving 855 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 378
- Ocean Engineering 320
- Computational Mechanics 250
- Signal Processing 158
- Mechanical Engineering 119
Countries citing papers authored by Suresh Rajendran
This map shows the geographic impact of Suresh Rajendran'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 Suresh Rajendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh Rajendran more than expected).
Fields of papers citing papers by Suresh Rajendran
This network shows the impact of papers produced by Suresh Rajendran. 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 Suresh Rajendran. The network helps show where Suresh Rajendran may publish in the future.
Co-authorship network of co-authors of Suresh Rajendran
This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Rajendran. A scholar is included among the top collaborators of Suresh Rajendran 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 Suresh Rajendran. Suresh Rajendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | Dependency resolution and semantic mining using Tree Adjoining Grammars for Tamil Language | 1 |
| 10 | AMRITA@ FIRE-2014: Morpheme Extraction for Tamil using Machine Learning (Working notes) | 1 |
| 11 | Tamil word sense disambiguation using support vector machines with rich features | 8 |
| 12 | Factored statistical machine translation system for English to Tamil language | 17 |
| 13 | 55 | |
| 14 | Morphological analyzer for Malayalam using machine learning | 1 |
| 15 | A novel approach to morphological generator for Tamil | 1 |
| 16 | Impacts of climate, topography and weathering profile on hydrogeology and water resources assessment in semiarid terrain. Using earth observation-1 ALI, ASTER-DEM and GIS techniques. | 0 |
| 17 | 4 | |
| 18 | A Common Parts-of-Speech Tagset Framework for Indian Languages. | 23 |
| 19 | 10 | |
| 20 | 0 |
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.