Sheila Castilho
About
In The Last Decade
Sheila Castilho
37 papers receiving 541 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 501
- Language and Linguistics 149
- Computer Vision and Pattern Recognition 78
- Information Systems 69
- General Health Professions 28
Countries citing papers authored by Sheila Castilho
This map shows the geographic impact of Sheila Castilho'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 Sheila Castilho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheila Castilho more than expected).
Fields of papers citing papers by Sheila Castilho
This network shows the impact of papers produced by Sheila Castilho. 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 Sheila Castilho. The network helps show where Sheila Castilho may publish in the future.
Co-authorship network of co-authors of Sheila Castilho
This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Castilho. A scholar is included among the top collaborators of Sheila Castilho 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 Sheila Castilho. Sheila Castilho 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 | 7 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Towards document-level human MT evaluation: On the Issues of annotator agreement, effort and misevaluation | 6 |
| 6 | DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues | 2 |
| 7 | On Context Span Needed for Machine Translation Evaluation. | 8 |
| 8 | 27 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | Large-scale machine translation evaluation of the iADAATPA project | 3 |
| 14 | Improving Machine Translation of Educational Content via Crowdsourcing | 2 |
| 15 | 7 | |
| 16 | TraMOOC - Translation for Massive Open Online Courses: Recent Developments in Machine Translation | 1 |
| 17 | 117 | |
| 18 | Evaluating the impact of light post-editing on usability | 4 |
| 19 | 45 | |
| 20 | PET: a Tool for Post-editing and Assessing Machine Translation | 88 |
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.