John Crowley

1.1k citations
11 papers · 696 · h-index 6

Impact in

    • Statistical Methods and Inference
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
    • Statistical Methods in Clinical Trials
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

John Crowley

10 papers receiving 562 citations

Peers

John Crowley
Comparison fields: 5 of 105
  • Statistics and Probability 417
  • Hematology 132
  • Statistics, Probability and Uncertainty 56
  • Artificial Intelligence 126
  • Management Science and Operations Research 34
Replace Zheng Yuan with:
Zheng Yuan United States
S. Chambers United Kingdom
Murray D. Burke Canada
Jared C. Foster United States
Yunming Mu United States
Dal Ho Kim South Korea
Bernard Asselain France
Aris Angelis United Kingdom
Anwar M. Hossain United States
Pabak Mukhopadhyay United States
John Crowley relative to Zheng Yuan United States Zheng Yuan's profile →
Citations per field
00.5×4.9×
Zheng Yuan · 1×
Citations per year

Countries citing papers authored by John Crowley

Since Specialization
Citations

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

Fields of papers citing papers by John Crowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside John Crowley, 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 John Crowley Line = papers co-authored together John Crowley links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1974483
2 1984144
3 199923
4 199923
5 199010
6 20056
7 20193
8
A Leadership Role for Teacher-Librarians.
19952
9
A Leadership Role for Library Media Specialists.
19951
10 20021
11 20000

About John Crowley

John Crowley is a scholar working on Political Science and International Relations, Sociology and Political Science, Economics and Econometrics, History and Philosophy of Science and Marketing, having authored 11 papers that have together received 696 indexed citations. Recurring topics across this work include European Political History Analysis (1 paper), Acute Myeloid Leukemia Research (1 paper), Historical Studies and Socio-cultural Analysis (1 paper), Historical Economic and Social Studies (1 paper), Canadian Identity and History (1 paper), American History and Culture (1 paper), Political Systems and Governance (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Statistics and Probability (417 citations), Hematology (132 citations), Statistics, Probability and Uncertainty (56 citations), Artificial Intelligence (126 citations) and Management Science and Operations Research (34 citations). John Crowley has collaborated with scholars based in Canada and United States. Frequent co-authors include N. E. Breslow, MA Cheever, S Dahlberg, Reginald A. Clift and A Fefer. Their work appears in journals such as The American Historical Review, Canadian Historical Review, Annals of Internal Medicine, The Historical Journal and The Annals of Statistics.

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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