Sankaranarayanan Ananthakrishnan
About
In The Last Decade
Sankaranarayanan Ananthakrishnan
37 papers receiving 495 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 431
- Experimental and Cognitive Psychology 235
- Signal Processing 200
- Computer Vision and Pattern Recognition 62
- Computer Networks and Communications 41
Countries citing papers authored by Sankaranarayanan Ananthakrishnan
This map shows the geographic impact of Sankaranarayanan Ananthakrishnan'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 Sankaranarayanan Ananthakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sankaranarayanan Ananthakrishnan more than expected).
Fields of papers citing papers by Sankaranarayanan Ananthakrishnan
This network shows the impact of papers produced by Sankaranarayanan Ananthakrishnan. 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 Sankaranarayanan Ananthakrishnan. The network helps show where Sankaranarayanan Ananthakrishnan may publish in the future.
Co-authorship network of co-authors of Sankaranarayanan Ananthakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Sankaranarayanan Ananthakrishnan. A scholar is included among the top collaborators of Sankaranarayanan Ananthakrishnan 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 Sankaranarayanan Ananthakrishnan. Sankaranarayanan Ananthakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | Interactive Error Resolution Strategies for Speech-to-Speech Translation Systems | 1 |
| 3 | Incremental Topic-Based Translation Model Adaptation for Conversational Spoken Language Translation | 13 |
| 4 | 16 | |
| 5 | Active error detection and resolution for speech-to-speech translation. | 9 |
| 6 | Ensemble of SVM trees for multimodal emotion recognition | 71 |
| 7 | 4 | |
| 8 | System Combination Using Discriminative Cross-Adaptation | 2 |
| 9 | On-line Language Model Biasing for Statistical Machine Translation | 4 |
| 10 | A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation | 6 |
| 11 | Discriminative Sample Selection for Statistical Machine Translation | 10 |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 98 | |
| 17 | 1 | |
| 18 | 27 | |
| 19 | The Transonics Spoken Dialogue Translator: An aid for English-Persian Doctor-Patient interviews | 12 |
| 20 | 25 |
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.