Paul Morǎrescu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Signal Processing
- Co-authors
- Sanda M. HarabagiuDan MoldovanMihai SurdeanuRada MihalceaVasile RusRăzvan BunescuMarius PaşcaCorina R Girju
- Topics
- Natural Language Processing Techniques (9 papers)Topic Modeling (8 papers)Semantic Web and Ontologies (6 papers)
- Journals
- Language Resources and EvaluationInstitutional Research Information System (Università degli Studi di Trento)Meeting of the Association for Computational Linguistics
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Paul Morǎrescu
11 papers receiving 369 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 449
- Information Systems 119
- Molecular Biology 32
- Computer Vision and Pattern Recognition 19
- Signal Processing 13
Countries citing papers authored by Paul Morǎrescu
This map shows the geographic impact of Paul Morǎrescu'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 Paul Morǎrescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Morǎrescu more than expected).
Fields of papers citing papers by Paul Morǎrescu
This network shows the impact of papers produced by Paul Morǎrescu. 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 Paul Morǎrescu. The network helps show where Paul Morǎrescu may publish in the future.
Co-authorship network of co-authors of Paul Morǎrescu
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Morǎrescu. A scholar is included among the top collaborators of Paul Morǎrescu 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 Paul Morǎrescu. Paul Morǎrescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Processing spatial information from text | 1 |
| 2 | Principles for annotating and reasoning with spatial information | 1 |
| 3 | Shallow semantics for relation extraction | 33 |
| 4 | Semantic parsing based on FrameNet | 5 |
| 5 | NameNet: a Self-Improving Resource for Name Classification. | 0 |
| 6 | Open Domain Information Extraction via Automatic Semantic Labeling | 30 |
| 7 | 106 | |
| 8 | Multidocument Summarization with GISTexter. | 15 |
| 9 | Automatic Discovery of Linguistic Patterns for Information Extraction | 1 |
| 10 | Answering complex, list and context questions with LCC's Question-Answering Server | 49 |
| 11 | 55 | |
| 12 | FALCON: Boosting Knowledge for Answer Engines | 173 |
About Paul Morǎrescu
Paul Morǎrescu is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing, having authored 12 papers that have together received 469 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (449 citations), Information Systems (119 citations) and Signal Processing (13 citations). Paul Morǎrescu has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Sanda M. Harabagiu, Dan Moldovan, Mihai Surdeanu, Rada Mihalcea, Vasile Rus, Răzvan Bunescu, Marius Paşca, Corina R Girju, Roxana Gîrju and Adriana Badulescu. Their work appears in journals such as Language Resources and Evaluation, Institutional Research Information System (Università degli Studi di Trento) and Meeting of the Association for Computational Linguistics.
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.