John Shafer
Impact in
- Information Systems top 2%
- Data Mining Algorithms and Applications
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Algorithms and Data Compression 4
- Evolutionary Algorithms and Applications 2
-
- Advanced Database Systems and Queries 5
- Co-authors
- Rakesh Agrawal (7 shared papers)Manish Mehta (2 shared papers)Ramakrishnan Srikant (1 shared paper)Andreas Arning (1 shared paper)Alexandros Ntoulas (2 shared papers)Hady W. Lauw (2 shared papers)Stelios Paparizos (1 shared paper)Anitha Kannan (3 shared papers)
- Journals
- The VLDB Journal (1 paper)Computer Networks (1 paper)IEEE Internet Computing (1 paper)Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) (1 paper)The EDUCAUSE quarterly/EDUCAUSE quarterly (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John Shafer
13 papers receiving 616 citations
Peers
Comparison fields: 5 of 84
- Information Systems 438
- Signal Processing 194
- Artificial Intelligence 415
- Computational Theory and Mathematics 170
- Computer Networks and Communications 156
Countries citing papers authored by John Shafer
This map shows the geographic impact of John Shafer'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 John Shafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shafer more than expected).
Fields of papers citing papers by John Shafer
This network shows the impact of papers produced by John Shafer. 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 John Shafer. The network helps show where John Shafer may publish in the future.
Co-authors
The 24 scholars most cited alongside John Shafer, 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 | SPRINT: A Scalable Parallel Classifier for Data Mining | 1996 | 494 |
| 2 | The Quest Data mining System | 1996 | 106 |
| 3 | 2010 | 36 | |
| 4 | 2009 | 18 | |
| 5 | 2009 | 14 | |
| 6 | 2000 | 14 | |
| 7 | Parallel Algorithms for High-dimensional Similarity Joins for Data Mining Applications | 1997 | 12 |
| 8 | 1996 | 11 | |
| 9 | Symphony: Enabling Search-Driven Applications | 2009 | 4 |
| 10 | 2011 | 4 | |
| 11 | 2012 | 2 | |
| 12 | A Parallel Genetic Algorithm Scheme of the One-Dimension Cutting Stock Optimization Problem. | 2005 | 1 |
| 13 | Arts Go the Distance: Creating a Low-Budget, Long-Distance Collaboration. | 2005 | 1 |
| 14 | The Propel Distributed Services Platform | 2001 | 1 |
| 15 | 2005 | 1 |
About John Shafer
John Shafer is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Signal Processing, having authored 15 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (5 papers), Algorithms and Data Compression (4 papers), Data Quality and Management (3 papers), Data Management and Algorithms (3 papers), Data Mining Algorithms and Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers), Evolutionary Algorithms and Applications (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Information Systems (438 citations), Signal Processing (194 citations), Artificial Intelligence (415 citations), Computational Theory and Mathematics (170 citations) and Computer Networks and Communications (156 citations). John Shafer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rakesh Agrawal, Manish Mehta, Ramakrishnan Srikant, Andreas Arning, Alexandros Ntoulas, Hady W. Lauw, Stelios Paparizos, Anitha Kannan, Shivakumar Venkataraman and Rakesh Agrawal. Their work appears in journals such as The VLDB Journal, Computer Networks, IEEE Internet Computing, Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) and The EDUCAUSE quarterly/EDUCAUSE quarterly.
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.