Ashesh Rambachan

1.6k citations
10 papers · 610 indexed · 1 hit paper · h-index 4

Impact in

Papers in

Ashesh Rambachan

9 papers receiving 593 citations

Hit Papers

A More Credible Approach to Parallel Trends 2023 · 405 citations
4052023202620242025100200300400

Peers

Ashesh Rambachan
Comparison fields: 5 of 108
  • Health Informatics 15
  • Safety Research 89
  • Economics and Econometrics 256
  • Statistics and Probability 39
  • Accounting 53
Replace Kerstin Schneider with:
Kerstin Schneider Germany
Adam B. Cox United States
Anders Frederiksen Denmark
Teresa D. Harrison United States
Marc Sangnier France
Allen Wilhite United States
Sylvain Chassang United States
Bruno Ferman Brazil
Gonzalo Vázquez-Baré United States
Michał Brzeziński Poland
Ashesh Rambachan relative to Kerstin Schneider Germany Kerstin Schneider's profile →
Citations per field
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Kerstin Schneider · 1×
Citations per year

Countries citing papers authored by Ashesh Rambachan

Since Specialization
Citations

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

Fields of papers citing papers by Ashesh Rambachan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Ashesh Rambachan, 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 Ashesh Rambachan Line = papers co-authored together Ashesh Rambachan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown

About Ashesh Rambachan

Ashesh Rambachan is a scholar working on Statistics and Probability, Safety Research, General Economics, Econometrics and Finance, Management Science and Operations Research and Economics and Econometrics, having authored 10 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers), Ethics and Social Impacts of AI (2 papers), Statistical Methods and Bayesian Inference (1 paper), Bayesian Modeling and Causal Inference (1 paper), Qualitative Comparative Analysis Research (1 paper), Law, Economics, and Judicial Systems (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (15 citations), Safety Research (89 citations), Economics and Econometrics (256 citations), Statistics and Probability (39 citations) and Accounting (53 citations). Ashesh Rambachan has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Jonathan Roth, Sendhil Mullainathan, Jens Ludwig, Jon Kleinberg, Neil Shephard and Justin Chen. Their work appears in journals such as The Quarterly Journal of Economics, The Review of Economic Studies, Journal of the American Statistical Association, SSRN Electronic Journal and AEA Papers and Proceedings.

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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