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.
Design challenges and misconceptions in named entity recognition
This map shows the geographic impact of Dan Roth'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 Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Roth more than expected).
This network shows the impact of papers produced by Dan Roth. 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 Roth. The network helps show where Dan Roth may publish in the future.
Co-authorship network of co-authors of Dan Roth
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Roth.
A scholar is included among the top collaborators of Dan Roth 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 Roth. Dan Roth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tsai, Chen-Tse, et al.. (2016). Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016.. Theory and applications of categories.1 indexed citations
Sammons, Mark, Haoruo Peng, Yangqiu Song, et al.. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Theory and applications of categories.9 indexed citations
8.
Roth, Dan, et al.. (2013). End-to-end coreference resolution for clinical narratives. International Joint Conference on Artificial Intelligence. 2106–2112.4 indexed citations
9.
Rozovskaya, Alla, Mark Sammons, & Dan Roth. (2012). The UI System in the HOO 2012 Shared Task on Error Correction. North American Chapter of the Association for Computational Linguistics. 272–280.24 indexed citations
10.
Ratinov, Lev & Dan Roth. (2012). Learning-based Multi-Sieve Co-reference Resolution with Knowledge. Empirical Methods in Natural Language Processing. 1234–1244.31 indexed citations
11.
Lu, Wei & Dan Roth. (2012). Automatic Event Extraction with Structured Preference Modeling. Meeting of the Association for Computational Linguistics. 1. 835–844.31 indexed citations
12.
Goldwasser, Dan & Dan Roth. (2011). Learning from natural instructions. International Joint Conference on Artificial Intelligence. 1794–1800.26 indexed citations
13.
Wang, Dong, Tarek Abdelzaher, Hossein Ahmadi, et al.. (2011). On Bayesian interpretation of fact-finding in information networks. International Conference on Information Fusion. 1–8.39 indexed citations
14.
Pasternack, Jeff & Dan Roth. (2010). Knowing What to Believe (when you already know something). International Conference on Computational Linguistics. 877–885.173 indexed citations
15.
Wang, Mingwei, et al.. (2010). Integer Linear Programming in NLP - Constrained Conditional Models. North American Chapter of the Association for Computational Linguistics. 9–14.1 indexed citations
16.
Roth, Dan & Wen-tau Yih. (2004). A Linear Programming Formulation for Global Inference in Natural Language Tasks. Defense Technical Information Center (DTIC). 1–8.290 indexed citations
17.
Garg, Ashutosh, Sariel Har-Peled, & Dan Roth. (2002). On generalization bounds, projection profile, and margin distribution. International Conference on Machine Learning. 171–178.14 indexed citations
Grove, Adam J. & Dan Roth. (1997). Linear Concepts and Hidden Variables: An Empirical Study. Neural Information Processing Systems. 10. 500–506.2 indexed citations
20.
Roth, Dan. (1996). A connectionist framework for reasoning: reasoning with examples. National Conference on Artificial Intelligence. 1256–1261.4 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.