Steve MacFeely
Impact in
- Health Informatics top 10%
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- Digital Transformation in Industry
Papers in
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- Census and Population Estimation 6
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- Sustainable Development and Environmental Policy 5
- Co-authors
- Hossein Hassani (8 shared papers)Xu Huang (4 shared papers)Dilek Fraisl (3 shared papers)Linda See (3 shared papers)John R. Wilmoth (1 shared paper)Diana Estevez (1 shared paper)Olha Danylo (1 shared paper)Ian McCallum (2 shared papers)
- Journals
- Big Data and Cognitive Computing (4 papers)Statistics Education Research Journal (2 papers)Statistical Journal of the IAOS (16 papers)Frontiers in Public Health (1 paper)Environmental Science & Policy (1 paper)
- Partner nations
- SwitzerlandIrelandAustria
In The Last Decade
Steve MacFeely
36 papers receiving 648 citations
Peers
Comparison fields: 5 of 115
- Health Informatics 20
- Industrial and Manufacturing Engineering 109
- Ecological Modeling 36
- Management Information Systems 53
- Management, Monitoring, Policy and Law 67
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 21 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2019 | 95 | |
| 3 | 2021 | 80 | |
| 4 | 2022 | 44 | |
| 5 | 2020 | 38 | |
| 6 | 2019 | 38 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2023 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2023 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2013 | 7 |
About Steve MacFeely
Steve MacFeely is a scholar working on Statistics and Probability, Management, Monitoring, Policy and Law, Sociology and Political Science, Information Systems and Management and Economics and Econometrics, having authored 44 papers that have together received 681 indexed citations. Recurring topics across this work include Income, Poverty, and Inequality (8 papers), Census and Population Estimation (6 papers), Sustainable Development and Environmental Policy (5 papers), Digital Transformation in Industry (4 papers), Data Quality and Management (4 papers), Privacy-Preserving Technologies in Data (4 papers), Privacy, Security, and Data Protection (3 papers) and Big Data Technologies and Applications (3 papers). The work is most often cited by research in Health Informatics (20 citations), Industrial and Manufacturing Engineering (109 citations), Ecological Modeling (36 citations), Management Information Systems (53 citations) and Management, Monitoring, Policy and Law (67 citations). Steve MacFeely has collaborated with scholars based in Switzerland, Ireland and Austria. Frequent co-authors include Hossein Hassani, Xu Huang, Dilek Fraisl, Linda See, John R. Wilmoth, Diana Estevez, Olha Danylo, Ian McCallum, Jillian Campbell and Inian Moorthy. Their work appears in journals such as Big Data and Cognitive Computing, Statistics Education Research Journal, Statistical Journal of the IAOS, Frontiers in Public Health and Environmental Science & 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.