Nanda Kambhatla
- Artificial Intelligence top 2%
- Information Systems top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Salim RoukosHongyan JingAbe IttycheriahTodd K. LeenXiaoqiang LuoWlodek ZadroznyJoyce ChaiNicolas Nicolov
- Topics
- Speech and dialogue systems (10 papers)Topic Modeling (8 papers)Natural Language Processing Techniques (8 papers)
- Journals
- AI MagazineInternational Journal of Speech TechnologyMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Nanda Kambhatla
25 papers receiving 803 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 792
- Information Systems 151
- Molecular Biology 99
- Computer Vision and Pattern Recognition 76
- Management Science and Operations Research 62
Countries citing papers authored by Nanda Kambhatla
This map shows the geographic impact of Nanda Kambhatla'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 Nanda Kambhatla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanda Kambhatla more than expected).
Fields of papers citing papers by Nanda Kambhatla
This network shows the impact of papers produced by Nanda Kambhatla. 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 Nanda Kambhatla. The network helps show where Nanda Kambhatla may publish in the future.
Co-authorship network of co-authors of Nanda Kambhatla
This figure shows the co-authorship network connecting the top 25 collaborators of Nanda Kambhatla. A scholar is included among the top collaborators of Nanda Kambhatla 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 Nanda Kambhatla. Nanda Kambhatla 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 | 3 | |
| 3 | Extracting Problem and Resolution Information from Online Discussion Forums | 14 |
| 4 | 5 | |
| 5 | 1 | |
| 6 | Extracting Social Networks and Biographical Facts From Conversational Speech Transcripts | 17 |
| 7 | 24 | |
| 8 | 6 | |
| 9 | Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction | 71 |
| 10 | 150 | |
| 11 | 28 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | Natural Language Sales Assistant - A Web-Based Dialog System for Online Sales | 20 |
| 16 | DMML: An XML Language for Interacting with Multi-Modal Dialog Systems | 1 |
| 17 | 4 | |
| 18 | Conversation machines for transaction processing | 11 |
| 19 | 3 | |
| 20 | Fast Non-Linear Dimension Reduction | 70 |
About Nanda Kambhatla
Nanda Kambhatla is a scholar working on Artificial Intelligence, Information Systems and Marketing, having authored 25 papers that have together received 902 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (792 citations), Information Systems (151 citations) and Management Science and Operations Research (62 citations). Nanda Kambhatla has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Salim Roukos, Hongyan Jing, Abe Ittycheriah, Todd K. Leen, Xiaoqiang Luo, Wlodek Zadrozny, Joyce Chai, Nicolas Nicolov, Catherine De Wolf and Yiming Ye. Their work appears in journals such as AI Magazine, International Journal of Speech Technology and Meeting 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.