This map shows the geographic impact of Mark Dras'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 Dras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dras more than expected).
This network shows the impact of papers produced by Mark Dras. 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 Dras. The network helps show where Mark Dras may publish in the future.
Co-authorship network of co-authors of Mark Dras
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Dras.
A scholar is included among the top collaborators of Mark Dras 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 Dras. Mark Dras is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hamey, Len, et al.. (2018). Deep Learning for Domain Adaption: Engagement Recognition.. arXiv (Cornell University).4 indexed citations
10.
Foster, Jennifer, et al.. (2017). Morphological features of the Irish universal dependency treebank. IEEE Transactions on Learning Technologies. 1779. 111–122.3 indexed citations
11.
Malmasi, Shervin, et al.. (2015). Norwegian Native Language Identification. Recent Advances in Natural Language Processing. 404–412.5 indexed citations
Wong, Sze-Meng Jojo, Mark Dras, & Mark Johnson. (2012). Exploring Adaptor Grammars for Native Language Identification. Empirical Methods in Natural Language Processing. 699–709.24 indexed citations
14.
Wong, Sze-Meng Jojo & Mark Dras. (2011). Exploiting Parse Structures for Native Language Identification. Empirical Methods in Natural Language Processing. 1600–1610.55 indexed citations
15.
Baldwin, Timothy, Mark Dras, Julia Hockenmaier, Tracy Holloway King, & Gertjan van Noord. (2007). ACL 2007 Workshop on Deep Linguistic Processing. Meeting of the Association for Computational Linguistics.
16.
Dras, Mark, Manolya Kavakli, & Deborah Richards. (2005). Training for High Risk Situations. Adaptive Agents and Multi-Agents Systems. 35–41.4 indexed citations
17.
Dras, Mark & David C. Harrison. (2002). Emergent Behaviour in Phonological Pattern Change. 390–393.6 indexed citations
18.
Harrison, K. David, et al.. (2002). Agent-Based Modeling Of The Evolution Of Vowel Harmony. Scholarworks (University of Massachusetts Amherst). 1(1). 217.17 indexed citations
19.
Dras, Mark & Michael T. Johnson. (1996). Death and lightness: using a demographic model to find support verbs. arXiv (Cornell University).6 indexed citations
20.
Dras, Mark, et al.. (1994). A Probabilistic Model of Compound Nouns. arXiv (Cornell University). 474–481.11 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.