This map shows the geographic impact of Mark G. Core'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 Mark G. Core with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Core more than expected).
This network shows the impact of papers produced by Mark G. Core. 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 Mark G. Core. The network helps show where Mark G. Core may publish in the future.
Co-authorship network of co-authors of Mark G. Core
This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Core.
A scholar is included among the top collaborators of Mark G. Core 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 Mark G. Core. Mark G. Core 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.
Gainer, Alesia, Ron Artstein, Mark G. Core, et al.. (2023). DIVIS. 1–2.1 indexed citations
Hays, Matthew, et al.. (2011). Interpersonal and Leadership Skills: Using Virtual Humans to Teach New Officers.15 indexed citations
5.
Lane, H. Chad, et al.. (2009). Using Written and Behavioral Data to Detect Evidence of Continuous Lear ning.1 indexed citations
6.
Lane, H. Chad, et al.. (2009). Pedagogical Experience Manipulation for Cultural Learning.8 indexed citations
7.
Core, Mark G., et al.. (2008). An Intelligent Tutoring Architecture for Simulation-based Training. The Florida AI Research Society. 447–448.1 indexed citations
Core, Mark G., et al.. (2005). Toward Question Answering for Simulations. International Joint Conference on Artificial Intelligence.2 indexed citations
10.
Core, Mark G. & Johanna D. Moore. (2004). Robustness versus Fidelity in Natural Language Understanding. Defense Technical Information Center (DTIC). 1–8.2 indexed citations
11.
Core, Mark G., Johanna Moore, & Claus Zinn. (2003). 10th Conference of the European Chapter of the Association for Computational Linguistics.60 indexed citations
Core, Mark G. & Lenhart K. Schubert. (2002). Handling Speech Repairs and Other Disruptions Through Parser Metarules.1 indexed citations
14.
Core, Mark G., et al.. (2001). In Proceedings of the NAACL Workshop Adaption in Dialogue Systems.1 indexed citations
15.
Core, Mark G., et al.. (2001). Initiative Management for Tutorial Dialogue. Edinburgh Research Explorer (University of Edinburgh).1 indexed citations
16.
Core, Mark G. & Lenhart K. Schubert. (2000). Dialog Parsing: From Speech Repairs to Speech Acts. UR Research (University of Rochester).3 indexed citations
17.
Zinn, Claus, Johanna D. Moore, Mark G. Core, & Sebastian Varges. (2000). The BE&E Tutorial Learning Environment (BEETLE).3 indexed citations
18.
Core, Mark G. & Lenhart K. Schubert. (1999). A Model of Speech Repairs and Other Disruptions.9 indexed citations
Core, Mark G. & Lenhart K. Schubert. (1998). Implementing Parser Metarules that Handle Speech Repairs and Other Disruptions. The Florida AI Research Society. 283–288.3 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.