Peter Christen

152 papers receiving 6.5k citations

Peter Christen's Hit Papers

Sensing as a service model for smart cities supported by Internet of Things 2013 · 608 citations
6080+5+10Years since publication50010001.5k

Peers

Peter Christen
Comparison fields: 5 of 194
  • Management Science and Operations Research 2.6k
  • Computer Networks and Communications 2.3k
  • Information Systems 1.9k
  • Artificial Intelligence 2.4k
  • Computer Vision and Pattern Recognition 1.2k
Replace Zhong Ming with:
Zhong Ming China
Rong Pan United States
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Weinan Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Peter Christen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Peter Christen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Christen Line = papers co-authored together Peter Christen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Context Aware Computing for The Internet of Things: A Survey
Hit paper breakdown →
20131782
2
Sensing as a service model for smart cities supported by Internet of Things
Hit paper breakdown →
2013608
3
A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication
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2011400
4
Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
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2012356
5
Data Matching
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2012349
6 2005250
7
A Comparison of Fast Blocking Methods for Record Linkage
2003207
8 2006187
9 2012181
10 2017159
11 2013136
12 2008109
13 200898
14 201493
15 200492
16 198892
17 202382
18 200276
19 201269
20
Febrl: a freely available record linkage system with a graphical user interface
200860

About Peter Christen

Peter Christen is a scholar working on Management Science and Operations Research, Artificial Intelligence, Information Systems, Computer Networks and Communications and Epidemiology, having authored 164 papers that have together received 6.9k indexed citations. Recurring topics across this work include Data Quality and Management (87 papers), Privacy-Preserving Technologies in Data (54 papers), Cryptography and Data Security (18 papers), Data Mining Algorithms and Applications (16 papers), Data-Driven Disease Surveillance (16 papers), Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (8 papers) and Cloud Data Security Solutions (8 papers). The work is most often cited by research in Management Science and Operations Research (2.6k citations), Computer Networks and Communications (2.3k citations), Information Systems (1.9k citations), Artificial Intelligence (2.4k citations) and Computer Vision and Pattern Recognition (1.2k citations). Peter Christen has collaborated with scholars based in Australia, Germany and Switzerland. Frequent co-authors include Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Tim Churches, Dinusha Vatsalan, David J. Hand, Vassilios S. Verykios, Rohan A. Baxter, Thilina Ranbaduge and Rainer Schnell. Their work appears in journals such as International Journal for Population Data Science, Journal of Data and Information Quality, Information Systems, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Knowledge Discovery from Data.

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.

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