Ali Makhdoumi
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- Optimization and Search Problems 4
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 8
- Marketing top 10%
- Consumer Market Behavior and Pricing 9
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing 4
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- Auction Theory and Applications 12
- Game Theory and Applications 5
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- Digital Platforms and Economics 6
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- Supply Chain and Inventory Management 6
- Co-authors
- Asuman OzdaglarMuriel MédardAzarakhsh MalekianNadia FawazMansour MashreghiFlávio P. CalmonDaron AcemoğluHossein Eshghi
- Journals
- Operations Research (3 papers)Management Science (2 papers)Materials Science and Engineering C (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Ali Makhdoumi
39 papers receiving 562 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 217
- Artificial Intelligence 202
- Marketing 51
- Computer Science Applications 23
- Management Science and Operations Research 52
Countries citing papers authored by Ali Makhdoumi
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).
Fields of papers citing papers by Ali Makhdoumi
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.
Co-authorship network
The 25 scholars most cited alongside Ali Makhdoumi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 29 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 1 | |
| 13 | Characterization of Psychrophilic and Psychrotolerant Cultivable Bacteria in Alpine Soil in Iran | 2021 | 1 |
| 14 | 2020 | 42 | |
| 15 | Isolation of Enterococcus sp. 7C37 with high probiotic potentials from Qaeni cheese, a diary fermented product in South Khorasan | 2020 | 1 |
| 16 | 2020 | 2 | |
| 17 | 2018 | 3 | |
| 18 | Convergence Rate of Distributed ADMM over Networks | 2017 | 126 |
| 19 | 2015 | 38 | |
| 20 | Halopenitus malekzadehii sp. nov., a novel extremely halophilic archaeon from a salt lake | 2013 | 2 |
About Ali Makhdoumi
Ali Makhdoumi is a scholar working on Management Science and Operations Research, Marketing and Computer Science Applications, having authored 43 papers that have together received 581 indexed citations. Recurring topics across this work include Auction Theory and Applications (12 papers), Consumer Market Behavior and Pricing (9 papers), Privacy-Preserving Technologies in Data (8 papers), Digital Platforms and Economics (6 papers), Supply Chain and Inventory Management (6 papers), Game Theory and Applications (5 papers), Optimization and Search Problems (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Computer Networks and Communications (217 citations), Artificial Intelligence (202 citations) and Marketing (51 citations). Ali Makhdoumi has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Asuman Ozdaglar, Muriel Médard, Azarakhsh Malekian, Nadia Fawaz, Mansour Mashreghi, Flávio P. Calmon, Daron Acemoğlu, Hossein Eshghi, Ken R. Duffy and Saeed Alaei. Their work appears in journals such as Operations Research, Management Science, Materials Science and Engineering C, Games and Economic Behavior and International Journal of Pharmaceutics.
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.