Vivek V. Datla
Impact in
- Toxicology top 10%
- Pharmacovigilance and Adverse Drug Reactions
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 5
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 2
-
- Biomedical Text Mining and Ontologies 9
- Co-authors
- Kathy Lee (12 shared papers)Sadid A. Hasan (14 shared papers)Joey Liu (14 shared papers)Ashequl Qadir (13 shared papers)Oladimeji Farri (13 shared papers)Qishi Wu (2 shared papers)Aaditya Prakash (7 shared papers)Charles D. Ellis (1 shared paper)
- Journals
- Cognitive Science (1 paper)Text REtrieval Conference (5 papers)CLEF (Working Notes) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesFinlandIndia
In The Last Decade
Vivek V. Datla
22 papers receiving 273 citations
Peers
Comparison fields: 5 of 71
- Toxicology 24
- Artificial Intelligence 179
- Computer Networks and Communications 61
- Information Systems 49
- Information Systems and Management 13
Countries citing papers authored by Vivek V. Datla
This map shows the geographic impact of Vivek V. Datla'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 Vivek V. Datla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek V. Datla more than expected).
Fields of papers citing papers by Vivek V. Datla
This network shows the impact of papers produced by Vivek V. Datla. 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 Vivek V. Datla. The network helps show where Vivek V. Datla may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivek V. Datla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2010 | 42 | |
| 3 | LIDA: A Computational Model of Global Workspace Theory and Developmental Learning. | 2007 | 32 |
| 4 | 2017 | 22 | |
| 5 | Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study | 2017 | 18 |
| 6 | Neural Clinical Paraphrase Generation with Attention | 2016 | 16 |
| 7 | 2011 | 16 | |
| 8 | Social Networks are Encoded in Language | 2012 | 10 |
| 9 | Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning | 2017 | 10 |
| 10 | 2017 | 10 | |
| 11 | PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks. | 2017 | 9 |
| 12 | From Head to Toe: Embodiment Through Statistical Linguistic Frequencies | 2012 | 6 |
| 13 | Building an Intelligent PAL from the Tutor.com Session Database Phase 1: Data Mining. | 2014 | 5 |
| 14 | Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification. | 2018 | 5 |
| 15 | Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph. | 2016 | 4 |
| 16 | Discourse, Health and Well-Being of Military Populations Through the Social Media Lens. | 2016 | 3 |
| 17 | Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity. | 2016 | 3 |
| 18 | 2012 | 3 | |
| 19 | Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing. | 2017 | 2 |
| 20 | A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. | 2017 | 2 |
About Vivek V. Datla
Vivek V. Datla is a scholar working on Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Social Psychology and Information Systems, having authored 23 papers that have together received 292 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Biomedical Text Mining and Ontologies (9 papers), Natural Language Processing Techniques (8 papers), Machine Learning in Healthcare (5 papers), Advanced Text Analysis Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Complex Network Analysis Techniques (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Toxicology (24 citations), Artificial Intelligence (179 citations), Computer Networks and Communications (61 citations), Information Systems (49 citations) and Information Systems and Management (13 citations). Vivek V. Datla has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Kathy Lee, Sadid A. Hasan, Joey Liu, Ashequl Qadir, Oladimeji Farri, Qishi Wu, Aaditya Prakash, Charles D. Ellis, Sajjan G. Shiva and Sankardas Roy. Their work appears in journals such as Cognitive Science, Text REtrieval Conference, CLEF (Working Notes), Proceedings of the AAAI Conference on Artificial Intelligence and International Joint Conference on Artificial Intelligence.
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.