Peter Bailey
- Information Systems top 0.5%
- Information Retrieval and Search Behavior 32
- Web Data Mining and Analysis 12
- Expert finding and Q&A systems 6
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- Mobile Crowdsensing and Crowdsourcing 6
- Artificial Intelligence top 2%
- Topic Modeling 11
- Advanced Text Analysis Techniques 6
- Signal Processing top 5%
- Data Management and Algorithms 7
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- Personal Information Management and User Behavior 8
Peter Bailey
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Information Systems 1.2k
- Computer Science Applications 205
- Artificial Intelligence 687
- Signal Processing 172
- Information Systems and Management 93
Countries citing papers authored by Peter Bailey
This map shows the geographic impact of Peter Bailey'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 Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bailey more than expected).
Fields of papers citing papers by Peter Bailey
This network shows the impact of papers produced by Peter Bailey. 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 Bailey. The network helps show where Peter Bailey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Bailey, 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 | 2025 | 1 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 24 | |
| 4 | 2020 | 20 | |
| 5 | TREC 2017 Tasks Track Overview. | 2017 | 1 |
| 6 | 2017 | 67 | |
| 7 | 2017 | 20 | |
| 8 | Overview of the TREC Tasks Track 2016. | 2016 | 3 |
| 9 | 2014 | 24 | |
| 10 | User task understanding: a web search engine perspective | 2012 | 17 |
| 11 | 2010 | 16 | |
| 12 | Overview of the TREC 2008 Enterprise Track | 2008 | 51 |
| 13 | Overview of the TREC 2007 Enterprise Track. | 2007 | 52 |
| 14 | Does brandname influence perceived search result quality? Yahoo! | 2007 | 10 |
| 15 | TREC 2007 Enterprise track at CSIRO | 2007 | 3 |
| 16 | 2007 | 36 | |
| 17 | Characteristics of .au Websites: An Analysis of Large-Scale Web Crawl Data from 2005 | 2007 | 4 |
| 18 | 2006 | 6 | |
| 19 | 2003 | 99 | |
| 20 | An Extension of ML for Distributed Memory Multicomputers | 1993 | 1 |
About Peter Bailey
Peter Bailey is a scholar working on Information Systems, Information Systems and Management and Computer Science Applications, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (32 papers), Web Data Mining and Analysis (12 papers), Topic Modeling (11 papers), Personal Information Management and User Behavior (8 papers), Data Management and Algorithms (7 papers), Expert finding and Q&A systems (6 papers), Advanced Text Analysis Techniques (6 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Science Applications (205 citations) and Artificial Intelligence (687 citations). Peter Bailey has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nick Craswell, David Hawking, Paul Thomas, Ryen W. White, Falk Scholer, Alistair Moffat, Liwei Chen, Arjen P. de Vries, Ian Soboroff and Paul N. Bennett. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, ACM SIGPLAN Notices, ACM Transactions on the Web and Information Processing & Management.
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.