Sean Owen
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Cloud Computing and Resource Management
- Data Mining Algorithms and Applications
- Artificial Intelligence top 10%
- Data Stream Mining Techniques
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
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- Big Data and Business Intelligence 1
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- Recommender Systems and Techniques 2
In The Last Decade
Sean Owen
3 papers receiving 211 citations
Peers
Comparison fields: 5 of 47
- Information Systems 125
- Artificial Intelligence 121
- Signal Processing 35
- Computer Networks and Communications 66
- Information Systems and Management 16
Countries citing papers authored by Sean Owen
This map shows the geographic impact of Sean Owen'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 Sean Owen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Owen more than expected).
Fields of papers citing papers by Sean Owen
This network shows the impact of papers produced by Sean Owen. 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 Sean Owen. The network helps show where Sean Owen may publish in the future.
Co-authors
The 4 scholars most cited alongside Sean Owen, 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 | Advanced Analytics with Spark: Patterns for Learning from Data at Scale | 2015 | 39 |
| 2 | Collaborative Filtering with Apache Mahout | 2012 | 19 |
| 3 | Mahout in Action | 2011 | 171 |
About Sean Owen
Sean Owen is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 229 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (2 papers), Recommender Systems and Techniques (2 papers), Privacy-Preserving Technologies in Data (1 paper), Big Data and Business Intelligence (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Information Systems (125 citations), Artificial Intelligence (121 citations), Signal Processing (35 citations), Computer Networks and Communications (66 citations) and Information Systems and Management (16 citations). Frequent co-authors include Ted Dunning, Uri Laserson, Sebastian Schelter and Josh Wills.
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.