Bryan S. Graham

3.2k citations
46 papers · 1.4k · h-index 20

Impact in

Papers in

Bryan S. Graham

43 papers receiving 1.3k citations

Peers

Bryan S. Graham
Comparison fields: 5 of 121
  • Statistics and Probability 244
  • Economics and Econometrics 542
  • General Economics, Econometrics and Finance 103
  • Virology 44
  • Safety Research 72
Replace Kaushik Kalyanaraman with:
Kaushik Kalyanaraman India
Jeffrey E. Harris United States
Alyssa Bilinski United States
Langche Zeng United States
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David L. Weakliem United States
Robert Andersen Canada
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Citations per field
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Citations per year

Countries citing papers authored by Bryan S. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Bryan S. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan S. Graham. 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 Bryan S. Graham. The network helps show where Bryan S. Graham may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan S. Graham, 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 Bryan S. Graham Line = papers co-authored together Bryan S. Graham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003220
2 2008186
3 2017106
4 200599
5 201291
6 200673
7 200565
8 201264
9 199361
10 201557
11 200155
12 201839
13 201828
14
Identifying Social Interactions through Excess Variance Contrasts
200526
15 201125
16 201523
17 200423
18
Explaining Regional Disparities of China's Economic Growth: Geography, Policy and Infrastructure
201323
19 199720
20 200920

About Bryan S. Graham

Bryan S. Graham is a scholar working on Economics and Econometrics, Statistics and Probability, Education, Sociology and Political Science and Management Science and Operations Research, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include School Choice and Performance (10 papers), Statistical Methods and Inference (8 papers), Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (6 papers), Urban, Neighborhood, and Segregation Studies (5 papers), Income, Poverty, and Inequality (5 papers), Spatial and Panel Data Analysis (5 papers) and Economic Growth and Productivity (4 papers). The work is most often cited by research in Statistics and Probability (244 citations), Economics and Econometrics (542 citations), General Economics, Econometrics and Finance (103 citations), Virology (44 citations) and Safety Research (72 citations). Bryan S. Graham has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include David E. Bloom, David Canning, James L. Powell, Jonathan Temple, Jinyong Hahn, Cristine Campos de Xavier Pinto, Daniel Egel, R. Stokes Peebles, Daphne B. Mitchell and Koichi Hashimoto. Their work appears in journals such as Econometrica, Journal of Business and Economic Statistics, Journal of Econometrics, Economics Letters and The Journal of Infectious Diseases.

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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