Shachi Dave
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Hate Speech and Cyberbullying Detection
- Algorithms and Data Compression
- Language and Linguistics top 10%
- Translation Studies and Practices
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Hate Speech and Cyberbullying Detection 2
- Semantic Web and Ontologies 1
- Speech and dialogue systems 1
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- Multimodal Machine Learning Applications 1
- Co-authors
- Pushpak Bhattacharyya (2 shared papers)Sunipa Dev (5 shared papers)Vinodkumar Prabhakaran (5 shared papers)Partha Talukdar (3 shared papers)Chandan K. Reddy (2 shared papers)Anthony R. Davis (1 shared paper)Nitish Gupta (1 shared paper)Jaya Goyal (1 shared paper)
- Partner nations
- United StatesIndia
In The Last Decade
Shachi Dave
10 papers receiving 125 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 134
- Language and Linguistics 21
- Computer Vision and Pattern Recognition 25
- Human-Computer Interaction 6
- Health Informatics 1
Countries citing papers authored by Shachi Dave
This map shows the geographic impact of Shachi Dave'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 Shachi Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shachi Dave more than expected).
Fields of papers citing papers by Shachi Dave
This network shows the impact of papers produced by Shachi Dave. 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 Shachi Dave. The network helps show where Shachi Dave may publish in the future.
Co-authors
The 15 scholars most cited alongside Shachi Dave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 94 | |
| 2 | 2001 | 14 | |
| 3 | 2005 | 9 | |
| 4 | 2024 | 9 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 |
About Shachi Dave
Shachi Dave is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Sociology and Political Science and Speech and Hearing, having authored 10 papers that have together received 152 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Hate Speech and Cyberbullying Detection (2 papers), Semantic Web and Ontologies (1 paper), Multimodal Machine Learning Applications (1 paper), Speech and dialogue systems (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Social and Intergroup Psychology (1 paper). The work is most often cited by research in Artificial Intelligence (134 citations), Language and Linguistics (21 citations), Computer Vision and Pattern Recognition (25 citations), Human-Computer Interaction (6 citations) and Health Informatics (1 citation). Shachi Dave has collaborated with scholars based in United States and India. Frequent co-authors include Pushpak Bhattacharyya, Sunipa Dev, Vinodkumar Prabhakaran, Partha Talukdar, Chandan K. Reddy, Anthony R. Davis, Nitish Gupta, Jaya Goyal, Sunita Sarawagi and Emily Denton. Their work appears in journals such as Machine Translation and IETE Technical Review.
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.