Pablo Azar

About

Pablo Azar is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Pablo Azar has authored 25 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 8 papers in Artificial Intelligence and 8 papers in Economics and Econometrics. Recurrent topics in Pablo Azar’s work include Consumer Market Behavior and Pricing (5 papers), Auction Theory and Applications (5 papers) and Financial Markets and Investment Strategies (4 papers). Pablo Azar is often cited by papers focused on Consumer Market Behavior and Pricing (5 papers), Auction Theory and Applications (5 papers) and Financial Markets and Investment Strategies (4 papers). Pablo Azar collaborates with scholars based in United States, United Kingdom and Türkiye. Pablo Azar's co-authors include Andrew W. Lo, Daron Acemoğlu, Silvio Micali, Venkatesh Shankar, Matthew B. Fuller, Jennifer Gregan‐Paxton, Jonathan D. Hibbard, Frédéric F. Brunel, S. Matthew Weinberg and Constantinos Daskalakis and has published in prestigious journals such as Econometrica, Marketing Science and Psychology and Marketing.

In The Last Decade

Co-authorship network of co-authors of Pablo Azar i

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Fields of papers citing papers by Pablo Azar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Azar

Since Specialization

Citations

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