Vamshi Ambati
- Artificial Intelligence top 10%
- Computer Science Applications top 2%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Stephan VogelJaime CarbonellAlon LavieJonathan H. ClarkRaj ReddyMadhavi K. GanapathirajuNguyễn BáchQin Gao
- Topics
- Natural Language Processing Techniques (16 papers)Topic Modeling (15 papers)Machine Learning and Algorithms (7 papers)
- Journals
- Language Resources and EvaluationFigshareNorth American Chapter of the Association for Computational Linguistics
- Partner nations
- United StatesIndia
In The Last Decade
Vamshi Ambati
20 papers receiving 263 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 193
- Computer Science Applications 137
- Information Systems 73
- Management Science and Operations Research 39
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Vamshi Ambati
This map shows the geographic impact of Vamshi Ambati'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 Vamshi Ambati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vamshi Ambati more than expected).
Fields of papers citing papers by Vamshi Ambati
This network shows the impact of papers produced by Vamshi Ambati. 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 Vamshi Ambati. The network helps show where Vamshi Ambati may publish in the future.
Co-authorship network of co-authors of Vamshi Ambati
This figure shows the co-authorship network connecting the top 25 collaborators of Vamshi Ambati. A scholar is included among the top collaborators of Vamshi Ambati 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 Vamshi Ambati. Vamshi Ambati 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 | 25 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Active learning and crowdsourcing for machine translation in low resource scenarios | 18 |
| 8 | 46 | |
| 9 | CMU Haitian Creole-English Translation System for WMT 2011 | 4 |
| 10 | Towards task recommendation in micro-task markets | 73 |
| 11 | Active Learning-Based Elicitation for Semi-Supervised Word Alignment | 2 |
| 12 | Can Crowds Build parallel corpora for Machine Translation Systems | 44 |
| 13 | 8 | |
| 14 | 2 | |
| 15 | Improving Syntax-Driven Translation Models by Re-structuring Divergent and Nonisomorphic Parse Tree Structures. | 5 |
| 16 | 34 | |
| 17 | 4 | |
| 18 | A Hybrid Approach to Example based Machine Translation for Indian Languages | 6 |
| 19 | Digital Library of India: a testbed for Indian language research | 5 |
| 20 | 1 |
About Vamshi Ambati
Vamshi Ambati is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 291 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Computer Science Applications (137 citations), Artificial Intelligence (193 citations) and Information Systems (73 citations). Vamshi Ambati has collaborated with scholars based in United States and India. Frequent co-authors include Stephan Vogel, Jaime Carbonell, Alon Lavie, Jonathan H. Clark, Raj Reddy, Madhavi K. Ganapathiraju, Nguyễn Bách, Qin Gao, Erik Peterson and Jaime G. Carbonell. Their work appears in journals such as Language Resources and Evaluation, Figshare and North American Chapter of the Association for Computational Linguistics.
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.