Danielle Booth

1.3k total citations
14 papers, 829 citations indexed

About

Danielle Booth is a scholar working on Information Systems, Information Systems and Management and Developmental and Educational Psychology. According to data from OpenAlex, Danielle Booth has authored 14 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 3 papers in Information Systems and Management and 3 papers in Developmental and Educational Psychology. Recurrent topics in Danielle Booth's work include Information Retrieval and Search Behavior (10 papers), Web Data Mining and Analysis (6 papers) and Educational Strategies and Epistemologies (3 papers). Danielle Booth is often cited by papers focused on Information Retrieval and Search Behavior (10 papers), Web Data Mining and Analysis (6 papers) and Educational Strategies and Epistemologies (3 papers). Danielle Booth collaborates with scholars based in United States and Australia. Danielle Booth's co-authors include Bernard J. Jansen, Amanda Spink, Brian Smith, Z. Ihara, Mimi Zhang and Ying Zhang and has published in prestigious journals such as Information Processing & Management, European Urology Focus and Proceedings of the American Society for Information Science and Technology.

In The Last Decade

Danielle Booth

14 papers receiving 776 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle Booth United States 9 512 288 119 82 79 14 829
Michael Jugovac Germany 11 518 1.0× 309 1.1× 148 1.2× 41 0.5× 38 0.5× 17 691
Don Turnbull United States 9 355 0.7× 148 0.5× 86 0.7× 107 1.3× 55 0.7× 15 641
Jürgen Koenemann United States 10 523 1.0× 317 1.1× 138 1.2× 72 0.9× 71 0.9× 17 817
Judy Bateman United States 10 702 1.4× 315 1.1× 83 0.7× 117 1.4× 132 1.7× 12 936
Rishabh Mehrotra United Kingdom 14 548 1.1× 579 2.0× 165 1.4× 34 0.4× 129 1.6× 53 1.1k
Daniel E. Rose United States 10 641 1.3× 472 1.6× 85 0.7× 89 1.1× 108 1.4× 18 1.1k
Toine Bogers Denmark 15 671 1.3× 446 1.5× 128 1.1× 98 1.2× 39 0.5× 91 1.0k
Ching‐man Au Yeung United Kingdom 12 243 0.5× 306 1.1× 287 2.4× 79 1.0× 37 0.5× 27 700
Corinna Breitinger Germany 12 526 1.0× 509 1.8× 74 0.6× 42 0.5× 36 0.5× 26 884
Inbal Ronen Israel 15 654 1.3× 298 1.0× 227 1.9× 72 0.9× 53 0.7× 29 1.0k

Countries citing papers authored by Danielle Booth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Booth

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Booth. A scholar is included among the top collaborators of Danielle Booth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Booth. Danielle Booth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Booth, Danielle & Bernard J. Jansen. (2011). A Review of Methodologies for Analyzing Websites. IGI Global eBooks. 1 indexed citations
3.
Booth, Danielle & Bernard J. Jansen. (2011). A Review of Methodologies for Analyzing Websites. IGI Global eBooks. 145–166. 11 indexed citations
4.
Jansen, Bernard J. & Danielle Booth. (2010). Classifying web queries by topic and user intent. 4285–4290. 32 indexed citations
5.
Jansen, Bernard J., Danielle Booth, & Amanda Spink. (2009). Predicting query reformulation during web searching. 27. 3907–3912. 5 indexed citations
6.
Jansen, Bernard J., et al.. (2009). To what degree can log data profile a web searcher?. Proceedings of the American Society for Information Science and Technology. 46(1). 1–19. 3 indexed citations
7.
Jansen, Bernard J., Danielle Booth, & Amanda Spink. (2009). Patterns of query reformulation during Web searching. Journal of the American Society for Information Science and Technology. 60(7). 1358–1371. 55 indexed citations
8.
Booth, Danielle. (2009). A Review of Methodologies for Analyzing Websites. IGI Global eBooks. 143–164. 24 indexed citations
9.
Jansen, Bernard J., Danielle Booth, & Brian Smith. (2009). Using the taxonomy of cognitive learning to model online searching. Information Processing & Management. 45(6). 643–663. 114 indexed citations
10.
Booth, Danielle, Bernard J. Jansen, & Amanda Spink. (2008). Determining the informational, navigational and transactional intent of web queries. 133 indexed citations
11.
Jansen, Bernard J., Danielle Booth, & Amanda Spink. (2007). Determining the informational, navigational, and transactional intent of Web queries. Information Processing & Management. 44(3). 1251–1266. 308 indexed citations
12.
Jansen, Bernard J., Brian Smith, & Danielle Booth. (2007). Understanding web search via a learning paradigm. 1207–1208. 3 indexed citations
13.
Jansen, Bernard J., Danielle Booth, & Amanda Spink. (2007). Determining the user intent of web search engine queries. 1149–1150. 120 indexed citations
14.
Jansen, Bernard J., Brian Smith, & Danielle Booth. (2007). Viewing online searching within a learning paradigm. 859–860. 2 indexed citations

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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