Marta Tatu
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 12
- Semantic Web and Ontologies 12
- Topic Modeling 11
- Speech and dialogue systems 3
- Advanced Text Analysis Techniques 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Dan Moldovan (14 shared papers)Roxana Gîrju (2 shared papers)Adriana Badulescu (1 shared paper)Munirathnam Srikanth (1 shared paper)Mitchell Bowden (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Computer Speech & Language (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Marta Tatu
15 papers receiving 338 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 373
- Information Systems 43
- Signal Processing 17
- Language and Linguistics 15
- Management Science and Operations Research 12
Countries citing papers authored by Marta Tatu
This map shows the geographic impact of Marta Tatu'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 Marta Tatu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Tatu more than expected).
Fields of papers citing papers by Marta Tatu
This network shows the impact of papers produced by Marta Tatu. 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 Marta Tatu. The network helps show where Marta Tatu may publish in the future.
Co-authors
The 5 scholars most cited alongside Marta Tatu, 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 | 2005 | 100 | |
| 2 | 2004 | 87 | |
| 3 | 2005 | 58 | |
| 4 | 2007 | 39 | |
| 5 | 2008 | 31 | |
| 6 | 2006 | 20 | |
| 7 | A Temporally-Enhanced PowerAnswer in TREC 2006 | 2006 | 14 |
| 8 | 2016 | 9 | |
| 9 | 2010 | 8 | |
| 10 | 2005 | 8 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 4 | |
| 14 | A Semantic Question Answering Framework for Large Data Sets | 2016 | 4 |
| 15 | Intentions in text and semantic calculus | 2007 | 1 |
| 16 | 2020 | 0 |
About Marta Tatu
Marta Tatu is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Signal Processing and Management Science and Operations Research, having authored 16 papers that have together received 392 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (12 papers), Topic Modeling (11 papers), Speech and dialogue systems (3 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (2 papers), Data Quality and Management (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (373 citations), Information Systems (43 citations), Signal Processing (17 citations), Language and Linguistics (15 citations) and Management Science and Operations Research (12 citations). Marta Tatu has collaborated with scholars based in United States and Russia. Frequent co-authors include Dan Moldovan, Roxana Gîrju, Adriana Badulescu, Munirathnam Srikanth and Mitchell Bowden. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language and Text REtrieval Conference.
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.