Baharak Rastegari

762 total citations
22 papers, 391 citations indexed

About

Baharak Rastegari is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Baharak Rastegari has authored 22 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 13 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. Recurrent topics in Baharak Rastegari's work include Game Theory and Voting Systems (12 papers), Auction Theory and Applications (10 papers) and Consumer Market Behavior and Pricing (5 papers). Baharak Rastegari is often cited by papers focused on Game Theory and Voting Systems (12 papers), Auction Theory and Applications (10 papers) and Consumer Market Behavior and Pricing (5 papers). Baharak Rastegari collaborates with scholars based in United Kingdom, Canada and Australia. Baharak Rastegari's co-authors include Anne Condon, Holger H. Hoos, Jihong Ren, Kevin Leyton‐Brown, Nicole Immorlica, Finbarr Tarrant, David F. Manlove, Haris Aziz, Piotr Krysta and Ronald de Haan and has published in prestigious journals such as Artificial Intelligence, RNA and Theoretical Computer Science.

In The Last Decade

Baharak Rastegari

21 papers receiving 380 citations

Peers

Baharak Rastegari
Comparison fields: 5 of 45
  • Molecular Biology 232
  • Management Science and Operations Research 115
  • Economics and Econometrics 113
  • Marketing 37
  • Artificial Intelligence 31
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Citations per field, relative to Baharak Rastegari
Baharak Rastegari · 1×
Citations per year, relative to Baharak Rastegari
Baharak Rastegari · 1×

Countries citing papers authored by Baharak Rastegari

Since Specialization
Citations

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

Fields of papers citing papers by Baharak Rastegari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baharak Rastegari

This figure shows the co-authorship network connecting the top 25 collaborators of Baharak Rastegari. A scholar is included among the top collaborators of Baharak Rastegari 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 Baharak Rastegari. Baharak Rastegari 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
# Work Indexed citations
1 1
2 1
3 3
4 6
5
0
6 8
7 13
8 8
9 17
10 23
11 10
12 16
13 4
14 2
15
Revenue monotonicity in combinatorial auctions
21
16 18
17 12
18 175
19 44
20
Motif-grasp and motif-ils: two new stochastic local search algorithms for motif finding
1

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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