This map shows the geographic impact of Jesús Giménez'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 Jesús Giménez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Giménez more than expected).
This network shows the impact of papers produced by Jesús Giménez. 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 Jesús Giménez. The network helps show where Jesús Giménez may publish in the future.
Co-authorship network of co-authors of Jesús Giménez
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Giménez.
A scholar is included among the top collaborators of Jesús Giménez 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 Jesús Giménez. Jesús Giménez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Amigó, Enrique, Jesús Giménez, Julio Gonzalo, & Felisa Verdejo. (2012). UNED: Improving Text Similarity Measures without Human Assessments. Joint Conference on Lexical and Computational Semantics. 454–460.2 indexed citations
9.
Giménez, Jesús, et al.. (2012). A Graphical Interface for MT Evaluation and Error Analysis. Meeting of the Association for Computational Linguistics. 139–144.16 indexed citations
10.
Amigó, Enrique, Julio Gonzalo, Jesús Giménez, & Felisa Verdejo. (2011). Corroborating Text Evaluation Results with Heterogeneous Measures. Empirical Methods in Natural Language Processing. 455–466.3 indexed citations
11.
Giménez, Jesús, et al.. (2010). Document-Level Automatic MT Evaluation based on Discourse Representations. Workshop on Statistical Machine Translation. 333–338.17 indexed citations
12.
Specia, Lucia & Jesús Giménez. (2010). Combining Confidence Estimation and Reference-based Metrics for Segment-level MT Evaluation. Conference of the Association for Machine Translation in the Americas.16 indexed citations
Giménez, Jesús & Lluı́s Màrquez. (2008). Heterogeneous Automatic MT Evaluation Through Non-Parametric Metric Combinations. International Joint Conference on Natural Language Processing. 319–326.10 indexed citations
15.
Giménez, Jesús & Lluı́s Màrquez. (2008). Towards Heterogeneous Automatic MT Error Analysis.. Language Resources and Evaluation.7 indexed citations
16.
Giménez, Jesús & Enrique Amigó. (2006). IQmt: A Framework for Automatic Machine Translation Evaluation.. Language Resources and Evaluation. 685–690.16 indexed citations
17.
Castell, Núria, et al.. (2004). LC-STAR: XML-coded Phonetic Lexica and Bilingual corpora for Speech-to-Speech Translation. International Conference on Computational Linguistics.4 indexed citations
18.
Castell, Núria, et al.. (2004). Bilingual Connections for Trilingual Corpora: An XML Approach. Language Resources and Evaluation.1 indexed citations
19.
Giménez, Jesús & Lluı́s Màrquez. (2004). SVMTool: A general POS Tagger Generator Based on Support Vector Machines. Language Resources and Evaluation.218 indexed citations
20.
Giménez, Jesús & Lluı́s Màrquez. (2003). Fast and accurate part-of-speech tagging: The SVM approach revisited.. Recent Advances in Natural Language Processing. 153–163.63 indexed citations
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.