Steve MacFeely
Impact in
- Health Informatics top 10%
-
- Digital Transformation in Industry
Papers in
-
- Income, Poverty, and Inequality 7
-
- Census and Population Estimation 6
- Statistics Education and Methodologies 3
- Co-authors
- Hossein Hassani (7 shared papers)Xu Huang (4 shared papers)Linda See (2 shared papers)John R. Wilmoth (1 shared paper)Dilek Fraisl (2 shared papers)Anne Bowser (1 shared paper)Inian Moorthy (1 shared paper)Diana Estevez (1 shared paper)
- Journals
- Big Data and Cognitive Computing (4 papers)Statistics Education Research Journal (2 papers)Statistical Journal of the IAOS (15 papers)International Planning Studies (1 paper)Global Policy (1 paper)
- Partner nations
- IrelandSwitzerlandAustria
In The Last Decade
Steve MacFeely
32 papers receiving 526 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 15
- Industrial and Manufacturing Engineering 92
- Ecological Modeling 31
- Management, Monitoring, Policy and Law 62
- Modeling and Simulation 19
Countries citing papers authored by Steve MacFeely
This map shows the geographic impact of Steve MacFeely'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 Steve MacFeely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve MacFeely more than expected).
Fields of papers citing papers by Steve MacFeely
This network shows the impact of papers produced by Steve MacFeely. 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 Steve MacFeely. The network helps show where Steve MacFeely may publish in the future.
Co-authors
The 19 scholars most cited alongside Steve MacFeely, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 108 | |
| 2 | 2019 | 87 | |
| 3 | 2021 | 63 | |
| 4 | 2022 | 35 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2023 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2022 | 5 |
About Steve MacFeely
Steve MacFeely is a scholar working on Sociology and Political Science, Statistics and Probability, Economics and Econometrics, Management, Monitoring, Policy and Law and Artificial Intelligence, having authored 38 papers that have together received 545 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (7 papers), Census and Population Estimation (6 papers), Sustainable Development and Environmental Policy (5 papers), Privacy-Preserving Technologies in Data (4 papers), Digital Transformation in Industry (3 papers), Data Quality and Management (3 papers), Economic, financial, and policy analysis (3 papers) and Statistics Education and Methodologies (3 papers). The work is most often cited by research in Health Informatics (15 citations), Industrial and Manufacturing Engineering (92 citations), Ecological Modeling (31 citations), Management, Monitoring, Policy and Law (62 citations) and Modeling and Simulation (19 citations). Steve MacFeely has collaborated with scholars based in Ireland, Switzerland and Austria. Frequent co-authors include Hossein Hassani, Xu Huang, Linda See, John R. Wilmoth, Dilek Fraisl, Anne Bowser, Inian Moorthy, Diana Estevez, Tobias Sturn and Jillian Campbell. Their work appears in journals such as Big Data and Cognitive Computing, Statistics Education Research Journal, Statistical Journal of the IAOS, International Planning Studies and Global Policy.
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.