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M. Ghodsi

28 papers hereh-index 211.7k citations184 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author6
  • middle author7
  • last author12

Across the 26 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CG16
  • cs.GT4
  • cs.DS3
  • cs.CC1
  • cs.CE1
  • cs.IR1
same name
  • M. Ghodsi — 4 papers, h 2
  • M. Ghodsi — 1 paper, h 7
  • M. Ghodsi — 1 paper, h 18
  • M. Ghodsi — 1 paper, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedLP-rounding algorithms for facility-location problems

23 citations · 51 across the 26 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

cs.GT2018

On the Distortion Value of the Elections with Abstention

Mohammad Ghodsi, Mohamad Latifian, Masoud Seddighin

In Spatial Voting Theory, distortion is a measure of how good the winner is. It is proved that no deterministic voting mechanism can guarantee a distortion better than 3, even fo…

cs.GT2018★ 2 cited

Fair Allocation of Indivisible Items With Externalities

Mohammad Ghodsi, Hamed Saleh, Masoud Seddighin

One of the important yet insufficiently studied subjects in fair allocation is the externality effect among agents. For a resource allocation problem, externalities imply that a bu…

cs.GT2017

Fair Allocation of Indivisible Goods to Asymmetric Agents

Alireza Farhadi, Mohammad Ghodsi, MohammadTaghi Hajiaghayi +5

We study fair allocation of indivisible goods to agents with unequal entitlements. Fair allocation has been the subject of many studies in both divisible and indivisible settings.…

cs.GT2017★ 19 cited

Fair Allocation of Indivisible Goods: Improvement and Generalization

Mohammad Ghodsi, MohammadTaghi Hajiaghayi, Masoud Seddighin +2

We study the problem of fair allocation for indivisible goods. We use the the maxmin share paradigm introduced by Budish as a measure for fairness. Procaccia and Wang (EC'14) were…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.