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.
Countries citing papers authored by Johanna D. Moore
Since
Specialization
Citations
This map shows the geographic impact of Johanna D. Moore'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 Johanna D. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna D. Moore more than expected).
Fields of papers citing papers by Johanna D. Moore
This network shows the impact of papers produced by Johanna D. Moore. 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 Johanna D. Moore. The network helps show where Johanna D. Moore may publish in the future.
Co-authorship network of co-authors of Johanna D. Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Johanna D. Moore.
A scholar is included among the top collaborators of Johanna D. Moore 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 Johanna D. Moore. Johanna D. Moore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Farrow, Elaine, et al.. (2013). Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications Atlanta, Georgia, June 13 2013.1 indexed citations
5.
Dzikovska, Myroslava O., Peter Bell, Amy Isard, & Johanna D. Moore. (2012). Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system. Edinburgh Research Explorer (University of Edinburgh). 471–481.9 indexed citations
6.
Dzikovska, Myroslava O., Johanna D. Moore, Natalie B. Steinhauser, et al.. (2010). Beetle II: A System for Tutoring and Computational Linguistics Experimentation. Edinburgh Research Explorer (University of Edinburgh). 13–18.30 indexed citations
7.
Dzikovska, Myroslava O., Johanna D. Moore, Natalie B. Steinhauser, & Gwendolyn E. Campbell. (2010). The Impact of Interpretation Problems on Tutorial Dialogue. Edinburgh Research Explorer (University of Edinburgh). 43–48.4 indexed citations
8.
Georgila, Kallirroi, Maria Wolters, & Johanna D. Moore. (2010). Learning Dialogue Strategies from Older and Younger Simulated Users. ERA. 103–106.10 indexed citations
9.
Georgila, Kallirroi, Maria Wolters, Vasilis Karaiskos, et al.. (2008). A Fully Annotated Corpus for Studying the Effect of Cognitive Ageing on Users' Interactions with Spoken Dialogue Systems. Language Resources and Evaluation. 938–944.12 indexed citations
10.
Hsueh, Pei-Yun & Johanna D. Moore. (2007). Combining Multiple Knowledge Sources for Dialogue Segmentation in Multimedia Archives. ERA. 1016–1023.16 indexed citations
11.
Dzikovska, Myroslava O., Charles Callaway, Matthew Stone, & Johanna D. Moore. (2006). Understanding student input for tutorial dialogue in procedural domains. publish.UP (University of Potsdam).2 indexed citations
12.
Murray, Gabriel, Steve Renals, Jean Carletta, & Johanna D. Moore. (2005). Evaluating Automatic Summaries of Meeting Recordings. ERA. 33–40.48 indexed citations
Core, Mark G. & Johanna D. Moore. (2004). Robustness versus Fidelity in Natural Language Understanding. Defense Technical Information Center (DTIC). 1–8.2 indexed citations
15.
Whittaker, Steve, Marilyn Walker, & Johanna D. Moore. (2002). Fish or fowl: a Wizard of Oz evaluation of dialogue strategies in the restaurant domain. Language Resources and Evaluation.22 indexed citations
16.
Moore, Johanna D., et al.. (2001). Artificial intelligence in education : AI-ED in the wired and wireless future.39 indexed citations
17.
Rosé, Carolyn Penstein, Johanna D. Moore, Kurt VanLehn, & David Allbritton. (2001). A comparative evaluation of socratic versus didactic tutoring. eScholarship (California Digital Library). 23(23). 869–874.53 indexed citations
18.
Carenini, Giuseppe & Johanna D. Moore. (1999). Proceedings of the Seventh International Conference on User Modeling.16 indexed citations
19.
Young, R. Michael, Martha E. Pollack, & Johanna D. Moore. (1994). Decomposition and causality in partial-order planning. Edinburgh Research Explorer (University of Edinburgh). 188–193.73 indexed citations
20.
Moore, Johanna D. & William Swartout. (1990). Pointing: a way toward explanation dialogue. National Conference on Artificial Intelligence. 457–464.47 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.