Sharid Loáiciga
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Language and Linguistics
- Experimental and Cognitive Psychology
- Molecular Biology
- Co-authors
- Christian HardmeierLiane GuillouEkaterina Lapshinova‐KoltunskiÉric WehrliJörg TiedemannAndréi Popescu-BelisThomas MeyerSara Stymne
- Topics
- Natural Language Processing Techniques (19 papers)Topic Modeling (17 papers)Text Readability and Simplification (7 papers)
- Journals
- Language Resources and EvaluationEdinburgh Research Explorer (University of Edinburgh)Edinburgh Research Explorer
- Partner nations
- SwedenSwitzerlandUnited Kingdom
In The Last Decade
Sharid Loáiciga
19 papers receiving 113 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 119
- Computer Vision and Pattern Recognition 19
- Language and Linguistics 13
- Experimental and Cognitive Psychology 4
- Molecular Biology 3
Countries citing papers authored by Sharid Loáiciga
This map shows the geographic impact of Sharid Loáiciga'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 Sharid Loáiciga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharid Loáiciga more than expected).
Fields of papers citing papers by Sharid Loáiciga
This network shows the impact of papers produced by Sharid Loáiciga. 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 Sharid Loáiciga. The network helps show where Sharid Loáiciga may publish in the future.
Co-authorship network of co-authors of Sharid Loáiciga
This figure shows the co-authorship network connecting the top 25 collaborators of Sharid Loáiciga. A scholar is included among the top collaborators of Sharid Loáiciga 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 Sharid Loáiciga. Sharid Loáiciga 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 | 2 | |
| 3 | Exploiting Cross-Lingual Hints to Discover Event Pronouns | 1 |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 9 | |
| 13 | Discontinuous Verb Phrases in Parsing and Machine Translation of English and German | 1 |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | English-French Verb Phrase Alignment in Europarl for Tense Translation Modeling | 15 |
| 19 | Improving machine translation of null subjects in Italian and Spanish | 5 |
| 20 | Italian and Spanish Null Subjects. A Case Study Evaluation in an MT Perspective. | 5 |
About Sharid Loáiciga
Sharid Loáiciga is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology, having authored 20 papers that have together received 123 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (17 papers) and Text Readability and Simplification (7 papers). The work is most often cited by research in Artificial Intelligence (119 citations), Language and Linguistics (13 citations) and Computer Vision and Pattern Recognition (19 citations). Sharid Loáiciga has collaborated with scholars based in Sweden, Switzerland and United Kingdom. Frequent co-authors include Christian Hardmeier, Liane Guillou, Ekaterina Lapshinova‐Koltunski, Éric Wehrli, Jörg Tiedemann, Andréi Popescu-Belis, Thomas Meyer, Sara Stymne, Yves Scherrer and Hannah Rohde. Their work appears in journals such as Language Resources and Evaluation, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.
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.