Mark Dras
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Authorship Attribution and Profiling
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Linguistics and Language top 5%
Papers in
-
- Natural Language Processing Techniques 83
- Topic Modeling 59
- Authorship Attribution and Profiling 20
- Text Readability and Simplification 18
- Speech and dialogue systems 14
- Semantic Web and Ontologies 7
- Advanced Text Analysis Techniques 7
-
- Syntax, Semantics, Linguistic Variation 7
- Co-authors
- Shervin Malmasi (21 shared papers)Sze-Meng Jojo Wong (6 shared papers)Robert Dale (13 shared papers)Stephen Wan (11 shared papers)Cécile Paris (9 shared papers)Mark Johnson (6 shared papers)Eshrag Refaee (1 shared paper)Annabelle McIver (3 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Natural Language Engineering (2 papers)International Journal of Medical Informatics (2 papers)Computational Linguistics (2 papers)Ampersand (1 paper)
- Partner nations
- AustraliaUnited StatesIreland
In The Last Decade
Mark Dras
124 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 1.3k
- Linguistics and Language 91
- Health Informatics 20
- Language and Linguistics 156
- Experimental and Cognitive Psychology 96
Countries citing papers authored by Mark Dras
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).
Fields of papers citing papers by Mark Dras
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-authors
The 25 scholars most cited alongside Mark Dras, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase | 2006 | 112 |
| 2 | Exploiting Parse Structures for Native Language Identification | 2011 | 60 |
| 3 | 2016 | 57 | |
| 4 | 2019 | 52 | |
| 5 | Contrastive Analysis and Native Language Identification | 2009 | 52 |
| 6 | 2022 | 47 | |
| 7 | Language identification using classifier ensembles | 2015 | 46 |
| 8 | Statistical Machine Translation of Australian Aboriginal Languages: Morphological Analysis with Languages of Differing Morphological Richness | 2007 | 44 |
| 9 | 2023 | 43 | |
| 10 | GLEU: Automatic Evaluation of Sentence-Level Fluency | 2007 | 42 |
| 11 | 2015 | 39 | |
| 12 | Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading | 2017 | 35 |
| 13 | Agent-Based Modeling Of The Evolution Of Vowel Harmony | 2002 | 34 |
| 14 | 2023 | 34 | |
| 15 | 2016 | 30 | |
| 16 | 2014 | 30 | |
| 17 | 2016 | 30 | |
| 18 | Exploring Adaptor Grammars for Native Language Identification | 2012 | 27 |
| 19 | 2018 | 26 | |
| 20 | 2014 | 26 |
About Mark Dras
Mark Dras is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 134 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (83 papers), Topic Modeling (59 papers), Authorship Attribution and Profiling (20 papers), Text Readability and Simplification (18 papers), Speech and dialogue systems (14 papers), Syntax, Semantics, Linguistic Variation (7 papers), Semantic Web and Ontologies (7 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Linguistics and Language (91 citations), Health Informatics (20 citations), Language and Linguistics (156 citations) and Experimental and Cognitive Psychology (96 citations). Mark Dras has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include Shervin Malmasi, Sze-Meng Jojo Wong, Robert Dale, Stephen Wan, Cécile Paris, Mark Johnson, Eshrag Refaee, Annabelle McIver, Marcos Zampieri and Natasha Fernandes. Their work appears in journals such as Language Resources and Evaluation, Natural Language Engineering, International Journal of Medical Informatics, Computational Linguistics and Ampersand.
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.