Ali Makhdoumi

41 papers and 816 indexed citations i.

About

Ali Makhdoumi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Marketing. According to data from OpenAlex, Ali Makhdoumi has authored 41 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 8 papers in Marketing. Recurrent topics in Ali Makhdoumi’s work include Auction Theory and Applications (11 papers), Privacy-Preserving Technologies in Data (10 papers) and Consumer Market Behavior and Pricing (8 papers). Ali Makhdoumi is often cited by papers focused on Auction Theory and Applications (11 papers), Privacy-Preserving Technologies in Data (10 papers) and Consumer Market Behavior and Pricing (8 papers). Ali Makhdoumi collaborates with scholars based in United States, Canada and Brazil. Ali Makhdoumi's co-authors include Asuman Ozdaglar, Azarakhsh Malekian, Muriel Médard, Daron Acemoğlu, Nadia Fawaz, Salman Salamatian, Asu Ozdaglar, Flávio P. Calmon, Mansour Mashreghi and Ken R. Duffy and has published in prestigious journals such as Econometrica, Management Science and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Ali Makhdoumi i

Fields of papers citing papers by Ali Makhdoumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ali Makhdoumi

Since Specialization
Citations

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