This map shows the geographic impact of Dan Moldovan'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 Dan Moldovan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Moldovan more than expected).
This network shows the impact of papers produced by Dan Moldovan. 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 Dan Moldovan. The network helps show where Dan Moldovan may publish in the future.
Co-authorship network of co-authors of Dan Moldovan
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Moldovan.
A scholar is included among the top collaborators of Dan Moldovan 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 Dan Moldovan. Dan Moldovan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moldovan, Dan, et al.. (2020). Joint Learning of Syntactic Features Helps Discourse Segmentation. Language Resources and Evaluation. 1073–1080.
3.
Zhang, Linrui & Dan Moldovan. (2019). Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning.. The Florida AI Research Society. 92–97.2 indexed citations
Moldovan, Dan, et al.. (2013). Lexical Chains on WordNet and Extensions. The Florida AI Research Society.8 indexed citations
6.
Moldovan, Dan & Eduardo Blanco. (2012). Polaris: Lymba's Semantic Parser. Language Resources and Evaluation. 66–72.13 indexed citations
7.
Blanco, Eduardo & Dan Moldovan. (2012). Fine-Grained Focus for Pinpointing Positive Implicit Meaning from Negated Statements. North American Chapter of the Association for Computational Linguistics. 456–465.5 indexed citations
8.
Moldovan, Dan, et al.. (2006). A Temporally-Enhanced PowerAnswer in TREC 2006. Text REtrieval Conference.14 indexed citations
9.
Harabagiu, Sanda M., et al.. (2005). Employing two question answering systems in TREC-2005. Text REtrieval Conference.48 indexed citations
10.
Mohammed, Altaf, et al.. (2004). Senseval-3 logic forms: A system and possible improvements.. Meeting of the Association for Computational Linguistics. 163–166.2 indexed citations
11.
Mihalcea, Rada & Dan Moldovan. (2001). eXtended WordNet: progress report. University of North Texas Digital Library (University of North Texas).58 indexed citations
12.
Mihalcea, Rada & Dan Moldovan. (2001). Pattern Learning and Active Feature Selection for Word Sense Disambiguation. Meeting of the Association for Computational Linguistics. 127–130.16 indexed citations
13.
Mihalcea, Rada & Dan Moldovan. (2001). EZ.WordNet: Principles for Automatic Generation of a Coarse Grained WordNet. The Florida AI Research Society. 454–458.20 indexed citations
14.
Harabagiu, Sanda M., Dan Moldovan, Marius Paşca, et al.. (2000). FALCON: Boosting Knowledge for Answer Engines. University of North Texas Digital Library (University of North Texas).173 indexed citations
15.
Mihalcea, Rada & Dan Moldovan. (2000). An Iterative Approach to Word Sense Disambiguation. University of North Texas Digital Library (University of North Texas). 219–223.35 indexed citations
16.
Harabagiu, Sanda M. & Dan Moldovan. (2000). Enriching the WordNet taxonomy with contextual knowledge acquired from text. MIT Press eBooks. 301–333.14 indexed citations
17.
Moldovan, Dan & Rada Mihalcea. (1999). Improving the Search on the Internet by Using WordNet and Lexical Operators. IEEE Internet Computing. 14(1).13 indexed citations
18.
Moldovan, Dan & Rada Mihalcea. (1998). A WordNet-Based Interface to Internet Search Engines. University of North Texas Digital Library (University of North Texas). 275–279.7 indexed citations
19.
Mihalcea, Rada & Dan Moldovan. (1998). Word Sense Disambiguation based on Semantic Density. University of North Texas Digital Library (University of North Texas).19 indexed citations
20.
Moldovan, Dan, et al.. (1990). The design of a marker passing architecture for knowledge processing. National Conference on Artificial Intelligence. 59–64.11 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.