The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mohammad Mahdian sits on this spectrum.
This scientist: 149 publications — 26th percentile
26% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mohammad Mahdian sits on this spectrum.
This scientist: 58 D-Index — 75th percentile
75% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mohammad Mahdian is a researcher affiliated with Google in the United States, with a primary focus on computer science. Their scholarly work spans 31 publications, contributing extensively to various subfields including artificial intelligence, management science and operations research, signal processing, marketing, and computer networks and communications.
Their research topics encompass a wide range of areas, notably data management and algorithms, auction theory and applications, privacy-preserving technologies in data, consumer market behavior and pricing, complexity and algorithms in graphs, advanced clustering algorithms, and advanced bandit algorithms.
Mahdian's recent publications illustrate the thematic breadth and interdisciplinary nature of their work:
Throughout their career, Mahdian has regularly published in venues such as arXiv (Cornell University), ACM SIGecom Exchanges, Operations Research, and Mathematics of Operations Research. Their body of work includes 13 publications in arXiv, reflecting an active engagement with open-access scholarly dissemination.
In collaborative research, Mahdian frequently coauthors with several scholars, including:
This extensive collaboration network supports research spanning multiple dimensions of computer science and operations research. Mahdian's work addresses theoretical and applied aspects in areas such as auctions, clustering algorithms, and privacy technologies, contributing to an understanding of consumer markets and algorithmic complexity.
Aris Anagnostopoulos;Ravi Kumar;Mohammad Mahdian
Kamal Jain;Mohammad Mahdian;Evangelos Markakis;Amin Saberi
Kamal Jain;Mohammad Mahdian;Amin Saberi
Nicole Immorlica;Mohammad Mahdian;Vahab S. Mirrokni
Nicole Immorlica;Mohammad Mahdian
Ronald Fagin;Ravi Kumar;Mohammad Mahdian;D. Sivakumar
Christian Borgs;Jennifer Chayes;Nicole Immorlica;Kamal Jain
Mohammad Mahdian;Yinyu Ye;Jiawei Zhang
Mohammad Mahdian;Qiqi Yan
L. Fleischer;K. Jain;M. Mahdian
Kamal Jain;Mohammad Mahdian;Mohammad R. Salavatipour
Christian Borgs;Jennifer Chayes;Nicole Immorlica;Mohammad Mahdian
Mohammad Mahdian;Yinyu Ye;Jiawei Zhang
Malcolm Slaney;Alex Jaffe;Shanmugasundaram Ravikumar;Aris Anagnostopoulos
David Kempe;Mohammad Mahdian
Ronald Fagin;Ravi Kumar;Mohammad Mahdian;D. Sivakumar
Mohammad Mahdian;Hamid Nazerzadeh;Amin Saberi
Mohammad T. Hajiaghayi
R. Chandra;Lili Qiu;K. Jain;M. Mahdian
Nicole Immorlica;Kamal Jain;Mohammad Mahdian;Kunal Talwar
Ravi Kumar;Mohammad Mahdian;Mary McGlohon
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