Hamsa Bastani

1.4k citations
28 papers · 440 indexed · h-index 11
Topics
Advanced Bandit Algorithms Research (10 papers)Auction Theory and Applications (5 papers)Machine Learning and Algorithms (4 papers)

In The Last Decade

Hamsa Bastani

27 papers receiving 421 citations

Peers

Hamsa Bastani
Comparison fields: 5 of 94
  • Management Science and Operations Research 173
  • Artificial Intelligence 107
  • Economics and Econometrics 78
  • Marketing 55
  • Management Information Systems 52
Replace Nicolas Lambert with:
Nicolas Lambert United States
Simone D. Grose Australia
Peter Morgan United Kingdom
Kimon Drakopoulos United States
Leonard J. Tashman United States
Hamed M. Zolbanin United States
Osman Y. Özaltın United States
Martin B. Haugh United States
Doris A. Behrens Austria
Marie‐Anne Guerry Belgium
Hamsa Bastani relative to Nicolas Lambert United States Nicolas Lambert's profile →
Citations per field
00.5×2.6×
Nicolas Lambert · 1×
Citations per year

Countries citing papers authored by Hamsa Bastani

Since Specialization
Citations

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

Fields of papers citing papers by Hamsa Bastani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamsa Bastani

This figure shows the co-authorship network connecting the top 25 collaborators of Hamsa Bastani. A scholar is included among the top collaborators of Hamsa Bastani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hamsa Bastani. Hamsa Bastani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 1
3 1
4 0
5 3
6 17
7 52
8 39
9 9
10 11
11 5
12
Meta Dynamic Pricing: Learning Across Experiments
2
13 110
14 3
15 2
16 2
17 42
18 6
19 4
20 56

About Hamsa Bastani

Hamsa Bastani is a scholar working on Management Science and Operations Research, Health Informatics and Statistics and Probability, having authored 28 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (10 papers), Auction Theory and Applications (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Management Science and Operations Research (173 citations), Marketing (55 citations) and Management Information Systems (52 citations). Hamsa Bastani has collaborated with scholars based in United States, Greece and Canada. Frequent co-authors include Mohsen Bayati, Joel Goh, David Simchi‐Levi, Ruihao Zhu, So‐Min Cheong, Kris Sankaran, Kimon Drakopoulos, Παγώνα Λάγιου, Christos Hadjichristodoulou and Vishal Gupta. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Management Science.

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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