FA Steele
Impact in
- Gender Studies top 5%
- Demographic Trends and Gender Preferences
- Health top 10%
- Health disparities and outcomes
Papers in
-
- Census and Population Estimation 1
- Advanced Causal Inference Techniques 1
-
- Urban, Neighborhood, and Segregation Studies 1
- Co-authors
- JR Rasbash (2 shared papers)William J. Browne (1 shared paper)Ilysa Diamond (1 shared paper)Kim Sk (1 shared paper)Ian Diamond (1 shared paper)Harvey Goldstein (1 shared paper)Raymond L. Chambers (1 shared paper)
- Journals
- UTS ePRESS (University of Technology Sydney) (1 paper)Explore Bristol Research (1 paper)London School of Economics and Political Science Research Online (London School of Economics and Political Science) (1 paper)Bristol Research (University of Bristol) (2 papers)
In The Last Decade
FA Steele
7 papers receiving 519 citations
Peers
Comparison fields: 5 of 114
- Gender Studies 99
- Health 53
- Pediatrics, Perinatology and Child Health 84
- Safety Research 42
- Statistics and Probability 36
Countries citing papers authored by FA Steele
This map shows the geographic impact of FA Steele'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 FA Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FA Steele more than expected).
Fields of papers citing papers by FA Steele
This network shows the impact of papers produced by FA Steele. 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 FA Steele. The network helps show where FA Steele may publish in the future.
Co-authors
The 7 scholars most cited alongside FA Steele, 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 User's Guide to MLwiN version 2.0 | 2004 | 397 |
| 2 | Too Young to Die: Genes or Gender? | 1999 | 101 |
| 3 | Module 5: Introduction to Multilevel Modelling (Concepts) | 2008 | 33 |
| 4 | Son Preference, Family Building Process and Child Mortality | 1999 | 27 |
| 5 | REALCOM: methodology for realistically complex multilevel modelling | 2008 | 5 |
| 6 | A Donor Imputation System to Create a Census Database Fully Adjusted for Underenumeration | 1999 | 1 |
| 7 | Retraining teachers to teach science: is it good? | 2004 | 1 |
About FA Steele
FA Steele is a scholar working on Statistics and Probability, Sociology and Political Science, Management Science and Operations Research, Gender Studies and Geography, Planning and Development, having authored 7 papers that have together received 565 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (1 paper), Geographic Information Systems Studies (1 paper), Census and Population Estimation (1 paper), Demographic Trends and Gender Preferences (1 paper), Urban, Neighborhood, and Segregation Studies (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Gender Studies (99 citations), Health (53 citations), Pediatrics, Perinatology and Child Health (84 citations), Safety Research (42 citations) and Statistics and Probability (36 citations). Frequent co-authors include JR Rasbash, William J. Browne, Ilysa Diamond, Kim Sk, Ian Diamond, Harvey Goldstein and Raymond L. Chambers. Their work appears in journals such as UTS ePRESS (University of Technology Sydney), Explore Bristol Research, London School of Economics and Political Science Research Online (London School of Economics and Political Science) and Bristol Research (University of Bristol).
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.