Peter Bailey

2.4k citations
52 papers · 1.5k · h-index 21

Impact in

    • Information Retrieval and Search Behavior
    • Web Data Mining and Analysis
    • Recommender Systems and Techniques
    • Expert finding and Q&A systems
    • Mobile Crowdsensing and Crowdsourcing

Papers in

Peter Bailey

50 papers receiving 1.4k citations

Peers

Peter Bailey
Comparison fields: 5 of 72
  • Information Systems 1.2k
  • Computer Science Applications 205
  • Artificial Intelligence 687
  • Signal Processing 172
  • Information Systems and Management 93
Replace Milad Shokouhi with:
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Paul Thomas Australia
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Jon Herlocker United States
Gabriella Kazai United Kingdom
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Peter Bailey relative to Milad Shokouhi United Kingdom Milad Shokouhi's profile →
Citations per field
00.5×1.5×
Milad Shokouhi · 1×
Citations per year

Countries citing papers authored by Peter Bailey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2009149
3 2001134
4 2008133
5 200399
6 200079
7 201767
8
Overview of the TREC 2007 Enterprise Track.
200752
9
Overview of the TREC 2008 Enterprise Track
200851
10 201651
11 201450
12 201546
13 200736
14 201735
15 200730
16 202124
17 201424
18 201922
19 201021
20 202020

About Peter Bailey

Peter Bailey is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Signal Processing and Management Science and Operations Research, 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), Mobile Crowdsensing and Crowdsourcing (6 papers), Advanced Text Analysis Techniques (6 papers) and Expert finding and Q&A systems (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Computer Science Applications (205 citations), Artificial Intelligence (687 citations), Signal Processing (172 citations) and Information Systems and Management (93 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, Ian Soboroff, Arjen P. de Vries and Paul N. Bennett. Their work appears in journals such as ACM Transactions on Information Systems, ACM SIGPLAN Notices, ACM Transactions on the Web, Information Processing & Management and ACM SIGIR Forum.

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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