Peter Christen
About
In The Last Decade
Peter Christen
152 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Management Science and Operations Research 2.6k
- Artificial Intelligence 2.4k
- Computer Networks and Communications 2.3k
- Information Systems 1.9k
- Computer Vision and Pattern Recognition 1.2k
Countries citing papers authored by Peter Christen
This map shows the geographic impact of Peter Christen'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 Peter Christen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Christen more than expected).
Fields of papers citing papers by Peter Christen
This network shows the impact of papers produced by Peter Christen. 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 Peter Christen. The network helps show where Peter Christen may publish in the future.
Co-authorship network of co-authors of Peter Christen
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Christen. A scholar is included among the top collaborators of Peter Christen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Christen. Peter Christen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | Linking Sensitive Data: Methods and Techniques for Practical Privacy-Preserving Information Sharing | 2 |
| 5 | An Anonymiser Tool for Sensitive Graph Data. | 0 |
| 6 | 2 | |
| 7 | 10 | |
| 8 | Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage | 4 |
| 9 | An iterative two-party protocol for scalable privacy-preserving record linkage | 12 |
| 10 | AusDM 11 : Proceedings of the Ninth Australasian Data Mining Conference | 0 |
| 11 | An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage | 14 |
| 12 | New frontiers in applied data mining : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27 - 30, 2009 : revised selected papers | 3 |
| 13 | Proceedings of the Eighth Australasian Data Mining Conference - Volume 101 | 10 |
| 14 | Evaluation of a graduate level data mining course with industry participants | 1 |
| 15 | Exploratory multilevel hot spot analysis: Australian taxation office case study | 6 |
| 16 | A two-step classification approach to unsupervised record linkage | 19 |
| 17 | 8 | |
| 18 | Assessing Deduplication and Data Linkage Quality: What to Measure? | 6 |
| 19 | How fast is -fast? Performance analysis of KDD applications using hardware performance counters on UltraSPARC-III | 4 |
| 20 | Parallel Data Mining on a Beowulf Cluster | 1 |
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.