Stephen Macke
Impact in
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- Scientific Computing and Data Management
Papers in
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- Scientific Computing and Data Management 4
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- Software Engineering Research 2
- Software Engineering Techniques and Practices 2
- Cloud Computing and Resource Management 1
- Research Data Management Practices 1
- Co-authors
- Aditya Parameswaran (8 shared papers)Doris Xin (5 shared papers)Jialin Liu (2 shared papers)Silu Huang (2 shared papers)Andrew Head (2 shared papers)Angela Hao-Chun Lee (1 shared paper)Anthony D. Joseph (1 shared paper)Joseph M. Hellerstein (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (5 papers)Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)PubMed (1 paper)Proceedings - International Conference on Data Engineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Stephen Macke
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 47
- Information Systems and Management 59
- Health Informatics 8
- Computer Networks and Communications 68
- Artificial Intelligence 104
- Information Systems 64
Countries citing papers authored by Stephen Macke
This map shows the geographic impact of Stephen Macke'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 Stephen Macke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Macke more than expected).
Fields of papers citing papers by Stephen Macke
This network shows the impact of papers produced by Stephen Macke. 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 Stephen Macke. The network helps show where Stephen Macke may publish in the future.
Co-authors
The 20 scholars most cited alongside Stephen Macke, 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 | 2018 | 90 | |
| 2 | 2020 | 62 | |
| 3 | 2018 | 40 | |
| 4 | A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. | 2019 | 38 |
| 5 | 2021 | 28 | |
| 6 | 2018 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2012 | 6 | |
| 9 | 2018 | 4 | |
| 10 | 2021 | 3 |
About Stephen Macke
Stephen Macke is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Artificial Intelligence and Software, having authored 10 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (4 papers), Scientific Computing and Data Management (4 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers), Machine Learning and Data Classification (2 papers), Privacy-Preserving Technologies in Data (1 paper), Cloud Computing and Resource Management (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Information Systems and Management (59 citations), Health Informatics (8 citations), Computer Networks and Communications (68 citations), Artificial Intelligence (104 citations) and Information Systems (64 citations). Stephen Macke has collaborated with scholars based in United States and China. Frequent co-authors include Aditya Parameswaran, Doris Xin, Jialin Liu, Silu Huang, Andrew Head, Angela Hao-Chun Lee, Anthony D. Joseph, Joseph M. Hellerstein, Joseph E. Gonzalez and Yiming Zhang. Their work appears in journals such as Proceedings of the VLDB Endowment, Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign), IEEE Data(base) Engineering Bulletin, PubMed and Proceedings - International Conference on Data Engineering.
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.