Alex Kulesza

About

Alex Kulesza is a scholar working on Artificial Intelligence, Information Systems and Statistics and Probability. According to data from OpenAlex, Alex Kulesza has authored 32 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Statistics and Probability. Recurrent topics in Alex Kulesza’s work include Machine Learning and Algorithms (11 papers), Bayesian Methods and Mixture Models (4 papers) and Stochastic processes and statistical mechanics (4 papers). Alex Kulesza is often cited by papers focused on Machine Learning and Algorithms (11 papers), Bayesian Methods and Mixture Models (4 papers) and Stochastic processes and statistical mechanics (4 papers). Alex Kulesza collaborates with scholars based in United States, Israel and Canada. Alex Kulesza's co-authors include Koby Crammer, Fernando Pereira, John Blitzer, Jennifer Wortman Vaughan, Shai Ben-David, Ben Taskar, Mark Dredze, Jennifer R. Wortman, Simona Gandrabur and Erin Fitzgerald and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and Linear Algebra and its Applications.

In The Last Decade

Co-authorship network of co-authors of Alex Kulesza i

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Fields of papers citing papers by Alex Kulesza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Kulesza. 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 Alex Kulesza. The network helps show where Alex Kulesza may publish in the future.

Countries citing papers authored by Alex Kulesza

Since Specialization

Citations

This map shows the geographic impact of Alex Kulesza'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 Alex Kulesza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Kulesza more than expected).

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.

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