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.
Generating query substitutions
2006422 citationsRosie Jones, Omid Madani et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Omid Madani'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 Omid Madani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Madani more than expected).
This network shows the impact of papers produced by Omid Madani. 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 Omid Madani. The network helps show where Omid Madani may publish in the future.
Co-authorship network of co-authors of Omid Madani
This figure shows the co-authorship network connecting the top 25 collaborators of Omid Madani.
A scholar is included among the top collaborators of Omid Madani 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 Omid Madani. Omid Madani is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Madani, Omid, Manfred Georg, & David A. Ross. (2012). On Using Nearly-Independent Feature Families for High Precision and Confidence. Asian Conference on Machine Learning. 269–284.3 indexed citations
Madani, Omid, Michael Connor, & W. Greiner. (2009). Learning When Concepts Abound. Journal of Machine Learning Research. 10(89). 2571–2613.6 indexed citations
5.
Madani, Omid, Hung Bui, & Eric Yeh. (2009). Efficient online learning and prediction of users' desktop actions. International Joint Conference on Artificial Intelligence. 1457–1462.10 indexed citations
6.
Madani, Omid. (2007). Prediction Games in Infinitely Rich Worlds. National Conference on Artificial Intelligence. 54–55.5 indexed citations
7.
Madani, Omid, W. Greiner, David Kempe, & Mohammad R. Salavatipour. (2007). Recall Systems: Effcient Learning and Use of Category Indices. International Conference on Artificial Intelligence and Statistics. 307–314.10 indexed citations
8.
Madani, Omid. (2007). Exploring Massive Learning via a Prediction System.. National Conference on Artificial Intelligence. 46–53.4 indexed citations
9.
Raghavan, Hema, Omid Madani, & Rosie Jones. (2006). Active Learning with Feedback on Features and Instances. Journal of Machine Learning Research. 7(61). 1655–1686.120 indexed citations
10.
Raghavan, Hema, Omid Madani, & Rosie Jones. (2005). InterActive feature selection. International Joint Conference on Artificial Intelligence. 841–846.43 indexed citations
Madani, Omid, David M. Pennock, & Gary William Flake. (2004). Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. Neural Information Processing Systems. 17. 873–880.12 indexed citations
13.
Madani, Omid, Daniel J. Lizotte, & Russell Greiner. (2004). Active model selection. arXiv (Cornell University). 357–365.32 indexed citations
Madani, Omid. (2002). Polynomial value iteration algorithms for deterministic MDPs. Uncertainty in Artificial Intelligence. 311–318.16 indexed citations
17.
Lizotte, Daniel J., Omid Madani, & Russell Greiner. (2002). Budgeted learning of nailve-bayes classifiers. arXiv (Cornell University). 378–385.60 indexed citations
18.
Madani, Omid, Steve Hanks, & Anne Condon. (1999). On the undecidability of probabilistic planning and infinite-horizon partially observable Markov decision problems. National Conference on Artificial Intelligence. 541–548.128 indexed citations
19.
Etzioni, Oren, et al.. (1997). Fast and intuitive clustering of web documents. Knowledge Discovery and Data Mining. 287–290.178 indexed citations
20.
Etzioni, Oren, Steve Hanks, Tao Jiang, et al.. (1996). Efficient Information Gathering on the Internet (Extended Abstract).1 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.