Howard Bloom
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Safety Research top 10%
- Poverty, Education, and Child Welfare
Papers in
-
- Advanced Causal Inference Techniques 3
- Statistical Methods and Inference 1
- Statistical Methods and Bayesian Inference 1
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- School Choice and Performance 2
- Co-authors
- Robin Jacob (3 shared papers)Pei Zhu (3 shared papers)Marie‐Andrée Somers (3 shared papers)Johannes M. Bos (1 shared paper)Lisa A. Gennetian (1 shared paper)Pamela Morris (1 shared paper)Francis Fukuyama (1 shared paper)Andrew Bell (1 shared paper)
- Journals
- Journal of Research on Educational Effectiveness (1 paper)Foreign Affairs (1 paper)Evaluation Review (1 paper)MDRC (2 papers)
- Partner nations
- United States
In The Last Decade
Howard Bloom
7 papers receiving 222 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 42
- Safety Research 30
- Economics and Econometrics 52
- Education 55
- Gender Studies 17
Countries citing papers authored by Howard Bloom
This map shows the geographic impact of Howard Bloom'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 Howard Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Bloom more than expected).
Fields of papers citing papers by Howard Bloom
This network shows the impact of papers produced by Howard Bloom. 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 Howard Bloom. The network helps show where Howard Bloom may publish in the future.
Co-authors
The 8 scholars most cited alongside Howard Bloom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Practical Guide to Regression Discontinuity | 2012 | 142 |
| 2 | The Validity and Precision of the Comparative Interrupted Time Series Design and the Difference-in-Difference Design in Educational Evaluation | 2013 | 35 |
| 3 | 2016 | 30 | |
| 4 | Using Instrumental Variables Analysis to Learn More from Social Policy Experiments | 2002 | 22 |
| 5 | The Open-Source Everything Manifesto: Transparency, Truth, and Trust | 2012 | 7 |
| 6 | 1995 | 7 | |
| 7 | 2020 | 2 |
About Howard Bloom
Howard Bloom is a scholar working on Statistics and Probability, Education, General Economics, Econometrics and Finance, Soil Science and Gender Studies, having authored 7 papers that have together received 245 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), School Choice and Performance (2 papers), Agricultural risk and resilience (1 paper), Statistical Methods and Inference (1 paper), Monetary Policy and Economic Impact (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Gender, Labor, and Family Dynamics (1 paper). The work is most often cited by research in Statistics and Probability (42 citations), Safety Research (30 citations), Economics and Econometrics (52 citations), Education (55 citations) and Gender Studies (17 citations). Howard Bloom has collaborated with scholars based in United States. Frequent co-authors include Robin Jacob, Pei Zhu, Marie‐Andrée Somers, Johannes M. Bos, Lisa A. Gennetian, Pamela Morris, Francis Fukuyama and Andrew Bell. Their work appears in journals such as Journal of Research on Educational Effectiveness, Foreign Affairs, Evaluation Review and MDRC.
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.