Declan Groves
About
In The Last Decade
Declan Groves
27 papers receiving 267 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 258
- Language and Linguistics 38
- Computer Vision and Pattern Recognition 30
- Orthodontics 28
- Information Systems 27
Countries citing papers authored by Declan Groves
This map shows the geographic impact of Declan Groves'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 Declan Groves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Declan Groves more than expected).
Fields of papers citing papers by Declan Groves
This network shows the impact of papers produced by Declan Groves. 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 Declan Groves. The network helps show where Declan Groves may publish in the future.
Co-authorship network of co-authors of Declan Groves
This figure shows the co-authorship network connecting the top 25 collaborators of Declan Groves. A scholar is included among the top collaborators of Declan Groves 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 Declan Groves. Declan Groves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | Automatic Translation for Software with Safe Velocity. | 4 |
| 4 | IJCNLP-2017 Task 4: Customer Feedback Analysis. | 6 |
| 5 | Perception vs. reality: measuring machine translation post-editing productivity | 21 |
| 6 | Mapping the industry I: Findings on translation technologies and quality assessment | 9 |
| 7 | A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena | 1 |
| 8 | TMTprime: A Recommender System for MT and TM Integration | 4 |
| 9 | 18 | |
| 10 | 2 | |
| 11 | Identification and Analysis of Post-Editing Patterns for MT | 13 |
| 12 | Wrapper Syntax for Example-Based Machine Translation | 3 |
| 13 | Example-Based Machine Translation of the Basque Language | 19 |
| 14 | 11 | |
| 15 | 23 | |
| 16 | 23 | |
| 17 | Final Report of the 2005 Language Engineering Workshop on Statistical Machine Translation by Parsing | 11 |
| 18 | Bivariate J-function and other graphical statistical methods help select the best predictor variables as inputs for a neural network method of mineral prospectivity mapping | 5 |
| 19 | 14 | |
| 20 | 24 |
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.