Peter Bailey

2.4k citations
52 papers · 1.8k · h-index 22

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 1.7k citations

Peers

Peter Bailey
Comparison fields: 5 of 70
  • Information Systems 1.4k
  • Computer Science Applications 232
  • Artificial Intelligence 820
  • Signal Processing 203
  • Information Systems and Management 113
Replace Milad Shokouhi with:
Milad Shokouhi United Kingdom
Omar Alonso United States
Daniel E. Rose United States
Sean M. McNee United States
Lorraine McGinty Ireland
Benjamin Piwowarski France
Georges Dupret United States
Kirsten Swearingen United States
Toine Bogers Denmark
Dawn Lawrie United States
Peter Bailey relative to Milad Shokouhi United Kingdom Milad Shokouhi's profile →
Citations per field
00.5×1.5×2.1×
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 2012230
2 2009159
3 2001156
4 2008151
5 2003119
6 201786
7 200081
8 201474
9 201667
10
Overview of the TREC 2007 Enterprise Track.
200765
11 201564
12
Overview of the TREC 2008 Enterprise Track
200861
13 200745
14 201744
15 200732
16 202130
17 201429
18 201028
19 201526
20 202025

About Peter Bailey

Peter Bailey is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Signal Processing and Computer Science Applications, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (33 papers), Web Data Mining and Analysis (12 papers), Topic Modeling (11 papers), Personal Information Management and User Behavior (8 papers), Data Management and Algorithms (8 papers), Expert finding and Q&A systems (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Information Systems (1.4k citations), Computer Science Applications (232 citations), Artificial Intelligence (820 citations), Signal Processing (203 citations) and Information Systems and Management (113 citations). Peter Bailey has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nick Craswell, Paul Thomas, David Hawking, Ryen W. White, Falk Scholer, Alistair Moffat, Arjen P. de Vries, Ian M. Soboroff, Li-Wei Chen and Emine Yılmaz. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on the Web, Information Processing & Management, ACM SIGIR Forum and International Journal of Human-Computer Studies.

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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