Marta Tatu
- Artificial Intelligence top 5%
- Information Systems
- Molecular Biology
- Signal Processing
- Language and Linguistics
- Topics
- Natural Language Processing Techniques (12 papers)Semantic Web and Ontologies (12 papers)Topic Modeling (11 papers)
- Journals
- Language Resources and EvaluationComputer Speech & LanguageText REtrieval Conference
- Partner nations
- United StatesRussia
In The Last Decade
Marta Tatu
15 papers receiving 339 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 375
- Information Systems 43
- Molecular Biology 30
- Signal Processing 17
- Language and Linguistics 15
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-authorship network of co-authors of Marta Tatu
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Tatu. A scholar is included among the top collaborators of Marta Tatu 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 Marta Tatu. Marta Tatu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | A Semantic Question Answering Framework for Large Data Sets | 4 |
| 7 | Semi-Automatic Domain Ontology Creation from Text Resources | 8 |
| 8 | 31 | |
| 9 | 39 | |
| 10 | Intentions in text and semantic calculus | 1 |
| 11 | A Temporally-Enhanced PowerAnswer in TREC 2006 | 14 |
| 12 | 20 | |
| 13 | 8 | |
| 14 | 58 | |
| 15 | 100 | |
| 16 | 89 |
About Marta Tatu
Marta Tatu is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (12 papers) and Topic Modeling (11 papers). The work is most often cited by research in Artificial Intelligence (375 citations), Information Systems (43 citations) and Signal Processing (17 citations). Marta Tatu has collaborated with scholars based in United States and Russia. Frequent co-authors include Dan Moldovan, Roxana Gîrju, Adriana Badulescu and Munirathnam Srikanth. 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.