Kareem Amin
About
In The Last Decade
Kareem Amin
20 papers receiving 256 citations
Peers
Comparison fields: 5 of 37
- Management Science and Operations Research 136
- Artificial Intelligence 126
- Computer Networks and Communications 92
- Marketing 55
- Information Systems 36
Countries citing papers authored by Kareem Amin
This map shows the geographic impact of Kareem Amin'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 Kareem Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kareem Amin more than expected).
Fields of papers citing papers by Kareem Amin
This network shows the impact of papers produced by Kareem Amin. 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 Kareem Amin. The network helps show where Kareem Amin may publish in the future.
Co-authorship network of co-authors of Kareem Amin
This figure shows the co-authorship network connecting the top 25 collaborators of Kareem Amin. A scholar is included among the top collaborators of Kareem Amin 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 Kareem Amin. Kareem Amin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Pan-Private Uniformity Testing | 1 |
| 3 | 1 | |
| 4 | Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy | 20 |
| 5 | Differentially Private Covariance Estimation | 8 |
| 6 | Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning | 5 |
| 7 | 4 | |
| 8 | 8 | |
| 9 | Building an Integrated CBR-Big Data Oriented Architecture for Case-Based Reasoning Systems. | 1 |
| 10 | Threshold Bandits, With and Without Censored Feedback | 6 |
| 11 | Gradient methods for stackelberg security games | 6 |
| 12 | 47 | |
| 13 | 15 | |
| 14 | Repeated Contextual Auctions with Strategic Buyers | 32 |
| 15 | Learning from Contagion (Without Timestamps) | 14 |
| 16 | Large-Scale Bandit Problems and KWIK Learning | 5 |
| 17 | 35 | |
| 18 | 7 | |
| 19 | 26 | |
| 20 | Bandits, Query Learning, and the Haystack Dimension | 11 |
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.