Citations per year, relative to Marjorie McShane Marjorie McShane (= 1×)
peers
van Gerardus Noord
Countries citing papers authored by Marjorie McShane
Since
Specialization
Citations
This map shows the geographic impact of Marjorie McShane'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 Marjorie McShane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjorie McShane more than expected).
Fields of papers citing papers by Marjorie McShane
This network shows the impact of papers produced by Marjorie McShane. 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 Marjorie McShane. The network helps show where Marjorie McShane may publish in the future.
Co-authorship network of co-authors of Marjorie McShane
This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie McShane.
A scholar is included among the top collaborators of Marjorie McShane 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 Marjorie McShane. Marjorie McShane is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nirenburg, Sergei & Marjorie McShane. (2016). Natural Language Processing. Oxford University Press eBooks.3 indexed citations
3.
McShane, Marjorie & Sergei Nirenburg. (2015). OntoAgents Gauge Their Confidence In Language Understanding.. National Conference on Artificial Intelligence. 22–28.2 indexed citations
4.
McShane, Marjorie, et al.. (2015). Sentence Trimming in Service of Verb Phrase Ellipsis Resolution..4 indexed citations
Nirenburg, Sergei, et al.. (2011). A cognitive architecture for simulating bodies and minds.. PubMed Central.3 indexed citations
8.
McShane, Marjorie, Sergei Nirenburg, & Stephen Beale. (2011). Reference-Related Memory Management in Intelligent Agents Emulating Humans. National Conference on Artificial Intelligence.4 indexed citations
9.
Nirenburg, Sergei, Marjorie McShane, & Stephen Beale. (2010). Aspects of Metacognitive Self-Awareness in Maryland Virtual Patient. National Conference on Artificial Intelligence.2 indexed citations
10.
McShane, Marjorie, Sergei Nirenburg, Bruce E. Jarrell, Stephen Beale, & George T. Fantry. (2009). Maryland virtual patient: a knowledge-based, language-enabled simulation and training system. Bio-Algorithms and Med-Systems. 5(9). 57–63.5 indexed citations
11.
Nirenburg, Sergei, Stephen Beale, Marjorie McShane, Bruce E. Jarrell, & George T. Fantry. (2008). Language Understanding in Maryland Virtual Patient. International Conference on Computational Linguistics. 36–39.4 indexed citations
12.
McShane, Marjorie, Sergei Nirenburg, & Stephen Beale. (2008). Two Kinds of Paraphrase in Modeling Embodied Cognitive Agents. National Conference on Artificial Intelligence. 87–94.8 indexed citations
13.
McShane, Marjorie, Bruce E. Jarrell, George T. Fantry, et al.. (2008). Revealing the conceptual substrate of biomedical cognitive models to the wider community.. PubMed. 132. 281–6.11 indexed citations
14.
Nirenburg, Sergei, et al.. (2006). Cognitive Simulation in Virtual Patients.. The Florida AI Research Society. 174–175.
15.
Nirenburg, Sergei, Marjorie McShane, & Stephen Beale. (2004). The Rationale for Building an Ontology Expressly for NLP. Language Resources and Evaluation.8 indexed citations
16.
McShane, Marjorie, Stephen Beale, & Sergei Nirenburg. (2004). Some Meaning Procedures of Ontological Semantics.. Language Resources and Evaluation.8 indexed citations
McShane, Marjorie. (1998). Ellipsis in Slavic : the syntax-discourse interface.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.