Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Testing for the consecutive ones property, interval graphs, and graph planarity using PQ-tree algorithms
1976779 citationsKellogg S. Booth, George S. LuekerJournal of Computer and System Sciencesprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Kellogg S. Booth
Since
Specialization
Citations
This map shows the geographic impact of Kellogg S. 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 Kellogg S. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kellogg S. Booth more than expected).
Fields of papers citing papers by Kellogg S. Booth
This network shows the impact of papers produced by Kellogg S. 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 Kellogg S. Booth. The network helps show where Kellogg S. Booth may publish in the future.
Co-authorship network of co-authors of Kellogg S. Booth
This figure shows the co-authorship network connecting the top 25 collaborators of Kellogg S. Booth.
A scholar is included among the top collaborators of Kellogg S. 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 Kellogg S. Booth. Kellogg S. Booth is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Shoemaker, Garth, et al.. (2009). Mid-air text input techniques for very large wall displays. Graphics Interface. 231–238.43 indexed citations
2.
Lanir, Joel & Kellogg S. Booth. (2007). Understanding Instructors' use of visual aids in classroom setting. EdMedia: World Conference on Educational Media and Technology. 2007(1). 788–794.3 indexed citations
3.
Po, Barry A., et al.. (2006). The importance of accurate VR head registration on skilled motor performance. Graphics Interface. 131–137.17 indexed citations
4.
Swindells, Colin, Karon E. MacLean, Kellogg S. Booth, & Michael J. Meitner. (2006). A case-study of affect measurement tools for physical user interface design. Graphics Interface. 243–250.16 indexed citations
Baecker, Ronald M., Kellogg S. Booth, & Joanna McGrenere. (2002). The design and evaluation of multiple interfaces: a solution for complex software.24 indexed citations
Collie, Kate, Davor Čubranić, & Kellogg S. Booth. (1998). Participatory Design of a System for Computer-supported Distance Art Therapy. Participatory Design Conference. 29–36.4 indexed citations
Inkpen, Kori, Joanna McGrenere, Kellogg S. Booth, & Maria Klawe. (1997). Turn-Taking Protocols for Mouse-Driven Collaborative Environments.10 indexed citations
13.
Booth, Kellogg S., et al.. (1994). Reasoning about Video: Knowledge-based Transcription and Presentation. Hawaii International Conference on System Sciences. 599–608.3 indexed citations
Booth, Kellogg S. & George S. Lueker. (1976). Testing for the consecutive ones property, interval graphs, and graph planarity using PQ-tree algorithms. Journal of Computer and System Sciences. 13(3). 335–379.779 indexed citations breakdown →
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.