Ashudeep Singh

1.1k citations
7 papers · 106 · h-index 4

Impact in

Papers in

Journals
Scholar Commons (Santa Clara University) (1 paper)arXiv (Cornell University) (3 papers)

In The Last Decade

Ashudeep Singh

6 papers receiving 104 citations

Peers

Ashudeep Singh
Comparison fields: 5 of 37
  • Management Science and Operations Research 50
  • Computer Science Applications 14
  • Information Systems 57
  • Artificial Intelligence 58
  • Safety Research 13
Replace Masoud Mansoury with:
Masoud Mansoury Netherlands
Yuta Saito United States
Kamrun Naher Keya United States
Seth Neel United States
Mahyar Salek United States
Xiaoyuan Wang China
A Subaveerapandiyan India
Xiaojie Mao United States
Damien Desfontaines Switzerland
Xiyou Zhou United States
Ashudeep Singh relative to Masoud Mansoury Netherlands Masoud Mansoury's profile →
Citations per field
00.5×
Masoud Mansoury · 1×
Citations per year

Countries citing papers authored by Ashudeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ashudeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Ashudeep Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashudeep Singh Line = papers co-authored together Ashudeep Singh links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201669
2
Policy Learning for Fairness in Ranking
201922
3 20216
4 20234
5 20243
6
PREDICTIVE MEAN NEIGHBORHOOD IMPUTATION WITH APPLICATION TO THE PERSON-PAIR DATA OF THE NATIONAL HOUSEHOLD SURVEY ON DRUG ABUSE
20012
7 20240

About Ashudeep Singh

Ashudeep Singh is a scholar working on Information Systems, Sociology and Political Science, Management Science and Operations Research, Economics and Econometrics and Statistics and Probability, having authored 7 papers that have together received 106 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Game Theory and Voting Systems (2 papers), Advanced Bandit Algorithms Research (2 papers), Census and Population Estimation (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Blockchain Technology Applications and Security (1 paper), Privacy, Security, and Data Protection (1 paper) and Auction Theory and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (50 citations), Computer Science Applications (14 citations), Information Systems (57 citations), Artificial Intelligence (58 citations) and Safety Research (13 citations). Ashudeep Singh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thorsten Joachims, Tobias Schnabel, Adith Swaminathan, Nadia Fawaz and Zhiqiang Tao. Their work appears in journals such as Scholar Commons (Santa Clara University) and arXiv (Cornell University).

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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