This map shows the geographic impact of Alnur Ali'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 Alnur Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alnur Ali more than expected).
This network shows the impact of papers produced by Alnur Ali. 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 Alnur Ali. The network helps show where Alnur Ali may publish in the future.
Co-authorship network of co-authors of Alnur Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Alnur Ali.
A scholar is included among the top collaborators of Alnur Ali 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 Alnur Ali. Alnur Ali is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ali, Alnur, Edgar Dobriban, & Ryan J. Tibshirani. (2020). The Implicit Regularization of Stochastic Gradient Flow for Least Squares. International Conference on Machine Learning. 1. 233–244.3 indexed citations
6.
Ali, Alnur, J. Zico Kolter, & Ryan J. Tibshirani. (2018). A Continuous-Time View of Early Stopping for Least Squares Regression. arXiv (Cornell University). 1370–1378.10 indexed citations
7.
Ali, Alnur, et al.. (2018). A Study on Information Retrieval Methods in Text Mining. 2(15).2 indexed citations
Ali, Alnur, J. Zico Kolter, Steven Diamond, & Stephen Boyd. (2015). Disciplined convex stochastic programming: a new framework for stochastic optimization. Uncertainty in Artificial Intelligence. 62–71.6 indexed citations
11.
Ali, Alnur, Rich Caruana, & Ashish Kapoor. (2014). Active Learning with Model Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1).16 indexed citations
Ali, Alnur, Thomas Brendan Murphy, Marina Meilă, & Harr Chen. (2010). Preferences in college applications - a nonparametric Bayesian analysis of top-10 rankings. Arrow@dit (Dublin Institute of Technology).
15.
Ali, Alnur & Christopher Meek. (2009). Predictive Models of Form Filling.8 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.