Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A shortest path dependency kernel for relation extraction
2005590 citationsRăzvan Bunescu, Raymond J. Mooneyprofile →
Countries citing papers authored by Răzvan Bunescu
Since
Specialization
Citations
This map shows the geographic impact of Răzvan Bunescu'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 Răzvan Bunescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Răzvan Bunescu more than expected).
This network shows the impact of papers produced by Răzvan Bunescu. 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 Răzvan Bunescu. The network helps show where Răzvan Bunescu may publish in the future.
Co-authorship network of co-authors of Răzvan Bunescu
This figure shows the co-authorship network connecting the top 25 collaborators of Răzvan Bunescu.
A scholar is included among the top collaborators of Răzvan Bunescu 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 Răzvan Bunescu. Răzvan Bunescu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bunescu, Răzvan, et al.. (2019). Learning to Surprise: A Composer-Audience Architecture.. ICCC. 41–48.6 indexed citations
6.
Marling, Cindy & Răzvan Bunescu. (2018). The OhioT1DM Dataset For Blood Glucose Level Prediction.. International Joint Conference on Artificial Intelligence. 60–63.72 indexed citations
7.
Chen, Charles & Răzvan Bunescu. (2017). An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering. International Joint Conference on Natural Language Processing. 2. 442–447.2 indexed citations
8.
Bunescu, Răzvan, et al.. (2014). A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management. National Conference on Artificial Intelligence.80 indexed citations
9.
Shen, Hui, Răzvan Bunescu, & Rada Mihalcea. (2013). Coarse to Fine Grained Sense Disambiguation in Wikipedia. Joint Conference on Lexical and Computational Semantics. 1. 22–31.14 indexed citations
10.
Mihalcea, Rada, et al.. (2012). Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia. Joint Conference on Lexical and Computational Semantics. 1. 30–37.3 indexed citations
11.
Shen, Hui, Răzvan Bunescu, & Rada Mihalcea. (2012). Sense and Reference Disambiguation in Wikipedia. International Conference on Computational Linguistics. 1111–1120.
12.
Bunescu, Răzvan. (2012). Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models. Joint Conference on Lexical and Computational Semantics. 11–19.1 indexed citations
13.
Mohler, Michael, Răzvan Bunescu, & Rada Mihalcea. (2011). Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. Meeting of the Association for Computational Linguistics. 752–762.189 indexed citations
14.
Bunescu, Răzvan, et al.. (2010). Learning the Relative Usefulness of Questions in Community QA. Empirical Methods in Natural Language Processing. 97–107.10 indexed citations
15.
Bunescu, Răzvan, et al.. (2010). A Utility-Driven Approach to Question Ranking in Social QA. International Conference on Computational Linguistics. 125–133.6 indexed citations
16.
Bunescu, Răzvan & Raymond J. Mooney. (2007). Learning to Extract Relations from the Web using Minimal Supervision. Meeting of the Association for Computational Linguistics. 576–583.165 indexed citations
Mooney, Raymond J. & Răzvan Bunescu. (2005). Subsequence Kernels for Relation Extraction. Neural Information Processing Systems. 18. 171–178.318 indexed citations
19.
Bunescu, Răzvan. (2003). Associative Anaphora Resolution: A Web-Based Approach. Conference of the European Chapter of the Association for Computational Linguistics.31 indexed citations
20.
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
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.