Countries citing papers authored by Barbara Di Eugenio
Since
Specialization
Citations
This map shows the geographic impact of Barbara Di Eugenio'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 Barbara Di Eugenio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Di Eugenio more than expected).
Fields of papers citing papers by Barbara Di Eugenio
This network shows the impact of papers produced by Barbara Di Eugenio. 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 Barbara Di Eugenio. The network helps show where Barbara Di Eugenio may publish in the future.
Co-authorship network of co-authors of Barbara Di Eugenio
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Di Eugenio.
A scholar is included among the top collaborators of Barbara Di Eugenio 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 Barbara Di Eugenio. Barbara Di Eugenio is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Abhinav, et al.. (2020). Intelligent Assistant for Exploring Data Visualizations.. The Florida AI Research Society. 538–543.3 indexed citations
6.
Eugenio, Barbara Di, et al.. (2020). Detecting Preposition Errors to Target Interlingual Errors in Second Language Writing.. The Florida AI Research Society. 290–293.2 indexed citations
7.
Eugenio, Barbara Di, et al.. (2020). Goal Summarization for Human-Human Health Coaching Dialogues. The Florida AI Research Society. 317–322.3 indexed citations
8.
Eugenio, Barbara Di, et al.. (2017). Collaborative Intelligent Tutoring Systems: Comparing Learner Outcomes Across Varying Collaboration Feedback Strategies.. Computer Supported Collaborative Learning.3 indexed citations
Eugenio, Barbara Di, et al.. (2013). Multimodality and Dialogue Act Classification in the RoboHelper Project. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 183–192.8 indexed citations
11.
Eugenio, Barbara Di & Susan McRoy. (2012). INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference.4 indexed citations
12.
Lin, Chen & Barbara Di Eugenio. (2010). A Lucene and Maximum Entropy Model Based Hedge Detection System. 114–119.1 indexed citations
13.
Eugenio, Barbara Di, et al.. (2010). Generating Fine-Grained Reviews of Songs from Album Reviews. Meeting of the Association for Computational Linguistics. 1376–1385.10 indexed citations
14.
Fossati, Davide & Barbara Di Eugenio. (2008). I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes. Language Resources and Evaluation. 896–901.18 indexed citations
Subba, Rajen, et al.. (2006). Building lexical resources for PrincPar, a large coverage parser that generates principled semantic representations.. Language Resources and Evaluation. 327–332.2 indexed citations
17.
Haller, Susan & Barbara Di Eugenio. (2003). Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems.. The Florida AI Research Society. 382–386.4 indexed citations
18.
Eugenio, Barbara Di, Michael Glass, & Michael J. Scott. (2002). The binomial cumulative distribution function, or, is my system better than yours?. Language Resources and Evaluation. 281–286.2 indexed citations
19.
Dale, Robert, Donia Scott, & Barbara Di Eugenio. (1998). Introduction to the special issue on natural language generation. The COCOON platform (University of Paris). 24(3). 346–353.12 indexed citations
20.
Eugenio, Barbara Di & Leonardo Lesmo. (1987). Representation and interpretation of determiners in natural language. International Joint Conference on Artificial Intelligence. 648–654.5 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.