Kate Lockwood

792 total citations
16 papers, 462 citations indexed

About

Kate Lockwood is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Science Applications. According to data from OpenAlex, Kate Lockwood has authored 16 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 4 papers in Computer Science Applications. Recurrent topics in Kate Lockwood's work include Speech and dialogue systems (5 papers), Categorization, perception, and language (3 papers) and Teaching and Learning Programming (3 papers). Kate Lockwood is often cited by papers focused on Speech and dialogue systems (5 papers), Categorization, perception, and language (3 papers) and Teaching and Learning Programming (3 papers). Kate Lockwood collaborates with scholars based in United States and United Kingdom. Kate Lockwood's co-authors include Kenneth D. Forbus, Jeffrey Usher, Richard Zeckhauser, John Swanson, Paul Resnick, Andrew Lovett, Jon Wetzel, Stefan Priebe, Mark Savill and Christina Katsakou and has published in prestigious journals such as PLoS ONE, AI Magazine and Topics in Cognitive Science.

In The Last Decade

Kate Lockwood

15 papers receiving 392 citations

Peers

Kate Lockwood
Stefan Oppl Austria
Kate Lockwood
Citations per year, relative to Kate Lockwood Kate Lockwood (= 1×) peers Stefan Oppl

Countries citing papers authored by Kate Lockwood

Since Specialization
Citations

This map shows the geographic impact of Kate Lockwood'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 Kate Lockwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Lockwood more than expected).

Fields of papers citing papers by Kate Lockwood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Lockwood. 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 Kate Lockwood. The network helps show where Kate Lockwood may publish in the future.

Co-authorship network of co-authors of Kate Lockwood

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Lockwood. A scholar is included among the top collaborators of Kate Lockwood 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 Kate Lockwood. Kate Lockwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Hawes, Nick, et al.. (2021). Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 200–206.
2.
Barr, Valerie, et al.. (2017). Computer Science Topics in First- and Second- Year Seminar Courses. 643–644. 1 indexed citations
3.
Lockwood, Kate, et al.. (2016). Hackathons as Community-Based Learning: a Case Study. TechTrends. 60(5). 486–495. 49 indexed citations
4.
Friedman, Scott & Kate Lockwood. (2016). Qualitative Reasoning: Everyday, Pervasive, and Moving Forward — A Report on QR‐15. AI Magazine. 37(2). 95–96. 3 indexed citations
5.
Heines, Jesse M., et al.. (2015). Panel on Flipped Classrooms. 174–175. 4 indexed citations
6.
Lockwood, Kate, et al.. (2013). The inverted classroom and the CS curriculum. 113–118. 53 indexed citations
7.
Lockwood, Kate, et al.. (2013). Implementing the inverted classroom (abstract only). 763–763. 1 indexed citations
8.
Katsakou, Christina, et al.. (2012). Recovery in Borderline Personality Disorder (BPD): A Qualitative Study of Service Users' Perspectives. PLoS ONE. 7(5). e36517–e36517. 82 indexed citations
9.
Forbus, Kenneth D., Jeffrey Usher, Andrew Lovett, Kate Lockwood, & Jon Wetzel. (2011). CogSketch: Sketch Understanding for Cognitive Science Research and for Education. Topics in Cognitive Science. 3(4). 648–666. 112 indexed citations
10.
Forbus, Kenneth D., Kate Lockwood, Abhishek Sharma, & Emmett Tomai. (2009). Steps towards a second generation learning by Reading system. National Conference on Artificial Intelligence. 36–43. 3 indexed citations
11.
Lockwood, Kate & Ken Forbus. (2009). Multimodal knowledge capture from text and diagrams. 65–72. 12 indexed citations
12.
Lovett, Andrew, Kate Lockwood, & Kenneth D. Forbus. (2008). A Computational Model of the Visual Oddity Task. eScholarship (California Digital Library). 30(30). 4 indexed citations
13.
Forbus, Kenneth D., et al.. (2006). Automatic Categorization of Spatial Prepositions. eScholarship (California Digital Library). 28(28). 10 indexed citations
14.
Forbus, Ken, Kate Lockwood, & Jeffrey Usher. (2005). SpaceCase: A Model of Spatial Preposition Use. eScholarship (California Digital Library). 27(27). 4 indexed citations
15.
Forbus, Kenneth D., Kate Lockwood, Matthew Klenk, Emmett Tomai, & Jeffrey Usher. (2004). Open-Domain Sketch Understanding: The nuSketch Approach.. National Conference on Artificial Intelligence. 58–63. 18 indexed citations
16.
Resnick, Paul, Richard Zeckhauser, John Swanson, & Kate Lockwood. (2003). The Value of Reputation on eBay: A Controlled Experiment. SSRN Electronic Journal. 106 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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