Jamie Morgenstern
About
In The Last Decade
Jamie Morgenstern
28 papers receiving 317 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 195
- Management Science and Operations Research 119
- Safety Research 92
- Economics and Econometrics 49
- Sociology and Political Science 39
Countries citing papers authored by Jamie Morgenstern
This map shows the geographic impact of Jamie Morgenstern'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 Jamie Morgenstern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Morgenstern more than expected).
Fields of papers citing papers by Jamie Morgenstern
This network shows the impact of papers produced by Jamie Morgenstern. 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 Jamie Morgenstern. The network helps show where Jamie Morgenstern may publish in the future.
Co-authorship network of co-authors of Jamie Morgenstern
This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Morgenstern. A scholar is included among the top collaborators of Jamie Morgenstern 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 Jamie Morgenstern. Jamie Morgenstern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Large language models that replace human participants can harmfully misportray and flatten identity groups breakdown → | 20 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 4 | |
| 8 | Learning Auctions with Robust Incentive Guarantees | 4 |
| 9 | Fair k-Center Clustering for Data Summarization | 3 |
| 10 | The Price of Fair PCA: One Extra dimension | 11 |
| 11 | 2 | |
| 12 | 11 | |
| 13 | Learning Simple Auctions | 5 |
| 14 | Fair Learning in Markovian Environments. | 7 |
| 15 | Fairness in learning: classic and contextual bandits | 21 |
| 16 | 6 | |
| 17 | On the Pseudo-Dimension of Nearly Optimal Auctions | 35 |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 23 |
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.