Constantin Orǎsan
About
In The Last Decade
Constantin Orǎsan
72 papers receiving 687 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 754
- Information Systems 111
- Computer Vision and Pattern Recognition 35
- Language and Linguistics 32
- Social Psychology 31
Countries citing papers authored by Constantin Orǎsan
This map shows the geographic impact of Constantin Orǎsan'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 Constantin Orǎsan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constantin Orǎsan more than expected).
Fields of papers citing papers by Constantin Orǎsan
This network shows the impact of papers produced by Constantin Orǎsan. 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 Constantin Orǎsan. The network helps show where Constantin Orǎsan may publish in the future.
Co-authorship network of co-authors of Constantin Orǎsan
This figure shows the co-authorship network connecting the top 25 collaborators of Constantin Orǎsan. A scholar is included among the top collaborators of Constantin Orǎsan 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 Constantin Orǎsan. Constantin Orǎsan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | RGCL at GermEval 2019: Offensive Language Detection with Deep Learning. | 4 |
| 4 | 27 | |
| 5 | Aggressive Language Identification Using Word Embeddings and Sentiment Features. | 15 |
| 6 | Barbecued Opakapaka: Using Semantic Preferences for Ontology Population | 2 |
| 7 | A Tagging Approach to Identify Complex Constituents for Text Simplification | 6 |
| 8 | CLCM - A Linguistic Resource for Effective Simplification of Instructions in the Crisis Management Domain and its Evaluations | 2 |
| 9 | Annotating Near-Identity from Coreference Disagreements | 14 |
| 10 | Anaphora Resolution Exercise: An overview | 15 |
| 11 | 0 | |
| 12 | Transferring Coreference Chains through Word Alignment. | 25 |
| 13 | Computer-aided summarisation – what the user really wants | 6 |
| 14 | NPs for Events: Experiments in Coreference Annotation | 20 |
| 15 | Annotation of anaphoric expressions in an aligned bilingual corpus | 1 |
| 16 | A Comparison of Summarisation Methods Based on Term Specificity Estimation | 25 |
| 17 | PALinkA: A highly customisable tool for discourse annotation | 30 |
| 18 | Assessing the difficulty of finding people in texts. | 1 |
| 19 | CLinkA A Coreferential Links Annotator | 13 |
| 20 | An Open Architecture for the Construction and Administration of Corpora. | 2 |
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.