Bryan Keller

520 citations
29 papers · 391 · h-index 11

Impact in

    • Advanced Causal Inference Techniques
    • Statistical Methods and Bayesian Inference
  • Food Science top 10%
    • Probiotics and Fermented Foods
    • Proteins in Food Systems

Papers in

    • Advanced Causal Inference Techniques 8
    • Statistical Methods and Bayesian Inference 8
    • Statistical Methods and Inference 4
    • Statistical Methods in Clinical Trials 3
    • School Choice and Performance 4

Bryan Keller

28 papers receiving 372 citations

Peers

Bryan Keller
Comparison fields: 5 of 100
  • Statistics and Probability 59
  • Food Science 84
  • Applied Psychology 12
  • Pathology and Forensic Medicine 41
  • Computer Science Applications 13
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Citations per field
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Citations per year

Countries citing papers authored by Bryan Keller

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197481
2 201640
3 201735
4 201128
5 201625
6 201825
7 201918
8 202115
9 201612
10 201212
11 201512
12 201310
13 20189
14 19939
15 20198
16 20178
17 20137
18 20246
19 20246
20 20196

About Bryan Keller

Bryan Keller is a scholar working on Statistics and Probability, Education, Computer Networks and Communications, Experimental and Cognitive Psychology and Management Science and Operations Research, having authored 29 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (4 papers), School Choice and Performance (4 papers), Psychometric Methodologies and Testing (3 papers), Statistical Methods in Clinical Trials (3 papers), Innovative Teaching and Learning Methods (2 papers) and Poverty, Education, and Child Welfare (2 papers). The work is most often cited by research in Statistics and Probability (59 citations), Food Science (84 citations), Applied Psychology (12 citations), Pathology and Forensic Medicine (41 citations) and Computer Science Applications (13 citations). Bryan Keller has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include N.F. Olson, T. Richardson, Sonali Rajan, David Kaplan, Elizabeth Tipton, Jessica Hopkins, Steven P. Schinke, Traci M. Schwinn, Jee‐Seon Kim and Peter M. Steiner. Their work appears in journals such as Journal of Educational and Behavioral Statistics, Asia Pacific Education Review, Measurement in Physical Education and Exercise Science, Addictive Behaviors and Contemporary Educational Psychology.

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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