Danielle Booth
Impact in
- Information Systems top 1%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Expert finding and Q&A systems
- Recommender Systems and Techniques
Papers in ⓘ
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- Information Retrieval and Search Behavior 10
- Web Data Mining and Analysis 6
- Expert finding and Q&A systems 2
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- Technology Adoption and User Behaviour 2
- Co-authors
- Bernard J. Jansen (12 shared papers)Amanda Spink (5 shared papers)Brian Smith (3 shared papers)Z. Ihara (1 shared paper)Ying Zhang (1 shared paper)Mimi Zhang (1 shared paper)
- Journals
- Information Processing & Management (2 papers)Proceedings of the American Society for Information Science and Technology (1 paper)European Urology Focus (1 paper)Journal of the American Society for Information Science and Technology (1 paper)IGI Global eBooks (3 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Danielle Booth
14 papers receiving 776 citations
Peers
Comparison fields: 5 of 69
- Information Systems 512
- Computer Science Applications 74
- Information Systems and Management 82
- Artificial Intelligence 288
- Signal Processing 79
Countries citing papers authored by Danielle Booth
This map shows the geographic impact of Danielle Booth'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 Danielle Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Booth more than expected).
Fields of papers citing papers by Danielle Booth
This network shows the impact of papers produced by Danielle Booth. 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 Danielle Booth. The network helps show where Danielle Booth may publish in the future.
Co-authors
The 6 scholars most cited alongside Danielle Booth, 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 | 2007 | 308 | |
| 2 | Determining the informational, navigational and transactional intent of web queries | 2008 | 133 |
| 3 | 2007 | 120 | |
| 4 | 2009 | 114 | |
| 5 | 2009 | 55 | |
| 6 | 2010 | 32 | |
| 7 | 2009 | 24 | |
| 8 | 2016 | 18 | |
| 9 | 2011 | 11 | |
| 10 | 2009 | 5 | |
| 11 | 2007 | 3 | |
| 12 | 2009 | 3 | |
| 13 | 2007 | 2 | |
| 14 | 2011 | 1 |
About Danielle Booth
Danielle Booth is a scholar working on Information Systems, Information Systems and Management, Communication, Developmental and Educational Psychology and Organizational Behavior and Human Resource Management, having authored 14 papers that have together received 829 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (10 papers), Web Data Mining and Analysis (6 papers), Educational Strategies and Epistemologies (3 papers), Expert finding and Q&A systems (2 papers), Customer Service Quality and Loyalty (2 papers), Technology Adoption and User Behaviour (2 papers), Digital Marketing and Social Media (2 papers) and Wikis in Education and Collaboration (2 papers). The work is most often cited by research in Information Systems (512 citations), Computer Science Applications (74 citations), Information Systems and Management (82 citations), Artificial Intelligence (288 citations) and Signal Processing (79 citations). Danielle Booth has collaborated with scholars based in United States and Australia. Frequent co-authors include Bernard J. Jansen, Amanda Spink, Brian Smith, Z. Ihara, Ying Zhang and Mimi Zhang. Their work appears in journals such as Information Processing & Management, Proceedings of the American Society for Information Science and Technology, European Urology Focus, Journal of the American Society for Information Science and Technology and IGI Global eBooks.
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.