Michael Tanenblatt
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Speech and dialogue systems
- Machine Learning in Healthcare
- Speech Recognition and Synthesis
-
- Electronic Health Records Systems
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 4
- Speech Recognition and Synthesis 3
- Speech and dialogue systems 2
- Advanced Text Analysis Techniques 1
-
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Anni Coden (6 shared papers)Piet C. de Groen (1 shared paper)James Masanz (1 shared paper)Guergana Savova (1 shared paper)Wei Guan (1 shared paper)Kathleen McKeown (2 shared papers)Jacques Robin (2 shared papers)Dorée Duncan Seligmann (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (1 paper)Journal of Biomedical Informatics (1 paper)IBM Journal of Research and Development (1 paper)Language Resources and Evaluation (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Tanenblatt
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 236
- Health Information Management 28
- Molecular Biology 161
- Health Informatics 3
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Michael Tanenblatt
This map shows the geographic impact of Michael Tanenblatt'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 Michael Tanenblatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tanenblatt more than expected).
Fields of papers citing papers by Michael Tanenblatt
This network shows the impact of papers produced by Michael Tanenblatt. 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 Michael Tanenblatt. The network helps show where Michael Tanenblatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tanenblatt, 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 | 2008 | 149 | |
| 2 | 2010 | 69 | |
| 3 | 2012 | 31 | |
| 4 | Generating cross-references for multimedia explanation | 1992 | 31 |
| 5 | 1993 | 23 | |
| 6 | 2006 | 21 | |
| 7 | 1997 | 16 | |
| 8 | A markup language for text-to-speech synthesis. | 1997 | 12 |
| 9 | 2016 | 6 | |
| 10 | Fifth European Conference on Speech Communication and Technology, EUROSPEECH 1997, Rhodes, Greece, September 22-25, 1997 | 1997 | 5 |
| 11 | 2009 | 4 | |
| 12 | 1997 | 2 |
About Michael Tanenblatt
Michael Tanenblatt is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Health Information Management, having authored 12 papers that have together received 369 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers), Speech Recognition and Synthesis (3 papers), Biomedical Text Mining and Ontologies (3 papers), Video Analysis and Summarization (2 papers), Speech and dialogue systems (2 papers), Data Visualization and Analytics (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (236 citations), Health Information Management (28 citations), Molecular Biology (161 citations), Health Informatics (3 citations) and Computer Vision and Pattern Recognition (27 citations). Michael Tanenblatt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anni Coden, Piet C. de Groen, James Masanz, Guergana Savova, Wei Guan, Kathleen McKeown, Jacques Robin, Dorée Duncan Seligmann, Daniel Gruhl and Steven Feiner. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of Biomedical Informatics, IBM Journal of Research and Development, Language Resources and Evaluation and National 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.