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.
This map shows the geographic impact of Ben Taskar'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 Ben Taskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Taskar more than expected).
This network shows the impact of papers produced by Ben Taskar. 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 Ben Taskar. The network helps show where Ben Taskar may publish in the future.
Co-authorship network of co-authors of Ben Taskar
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Taskar.
A scholar is included among the top collaborators of Ben Taskar 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 Ben Taskar. Ben Taskar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chen, Tianqi, Sameer Singh, Ben Taskar, & Carlos Guestrin. (2015). {Efficient Second-Order Gradient Boosting for Conditional Random Fields}. International Conference on Artificial Intelligence and Statistics. 147–155.12 indexed citations
2.
London, Ben, Bert Huang, Ben Taskar, & Lise Getoor. (2014). {PAC-Bayesian Collective Stability}. International Conference on Artificial Intelligence and Statistics. 585–594.7 indexed citations
3.
Kulesza, Alex, et al.. (2013). Nystrom Approximation for Large-Scale Determinantal Processes. International Conference on Artificial Intelligence and Statistics. 85–98.18 indexed citations
4.
Fox, Emily B., et al.. (2013). Approximate Inference in Continuous Determinantal Processes. Neural Information Processing Systems. 26. 1430–1438.21 indexed citations
5.
Li, Shen, Joäo Graça, & Ben Taskar. (2012). Wiki-ly Supervised Part-of-Speech Tagging. Empirical Methods in Natural Language Processing. 1389–1398.55 indexed citations
6.
Gillenwater, Jennifer, Kuzman Ganchev, Joäo Graça, Fernando Pereira, & Ben Taskar. (2011). Posterior Sparsity in Unsupervised Dependency Parsing. Journal of Machine Learning Research. 12(14). 455–490.26 indexed citations
Kulesza, Alex & Ben Taskar. (2011). k-DPPs: Fixed-Size Determinantal Point Processes. International Conference on Machine Learning. 1193–1200.87 indexed citations
9.
Weiss, David J. & Ben Taskar. (2010). Stuctured Predictions Cascades. ScholarlyCommons (University of Pennsylvania).1 indexed citations
10.
Ganchev, Kuzman, Joäo Graça, Jennifer Gillenwater, & Ben Taskar. (2010). Posterior Regularization for Structured Latent Variable Models. Journal of Machine Learning Research. 11(67). 2001–2049.254 indexed citations
11.
Kulesza, Alex & Ben Taskar. (2010). Structured Determinantal Point Processes. ScholarlyCommons (University of Pennsylvania). 23. 1171–1179.62 indexed citations
Taskar, Ben, Simon Lacoste-Julien, & Michael I. Jordan. (2005). Structured Prediction via the Extragradient Method. Neural Information Processing Systems. 18. 1345–1352.39 indexed citations
16.
Taskar, Ben, Dan Klein, Michael J. Collins, Daphne Koller, & Christopher D. Manning. (2004). Max-Margin Parsing. Empirical Methods in Natural Language Processing. 1–8.144 indexed citations
17.
Bartlett, Peter L., Michael Collins, Ben Taskar, & David McAllester. (2004). Exponentiated Gradient Algorithms for Large-margin Structured Classification. QUT ePrints (Queensland University of Technology). 17. 113–120.45 indexed citations
18.
Taskar, Ben, et al.. (2003). Learning on the test data: leveraging Unseen features. International Conference on Machine Learning. 744–751.16 indexed citations
19.
Taskar, Ben, et al.. (2003). Link Prediction in Relational Data. Neural Information Processing Systems. 16. 659–666.262 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.