Mark Dras
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Speech Recognition and Synthesis
- Health Informatics top 5%
Papers in
-
- Natural Language Processing Techniques 63
- Authorship Attribution and Profiling 17
- Topic Modeling 10
- Adversarial Robustness in Machine Learning 7
- Advanced Text Analysis Techniques 6
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- Syntax, Semantics, Linguistic Variation 9
- Co-authors
- Shervin Malmasi (21 shared papers)Stephen Wan (15 shared papers)Sze-Meng Jojo Wong (6 shared papers)Robert Dale (13 shared papers)Cécile L. Paris (12 shared papers)Omid Mohamad Nezami (8 shared papers)Mark S. Johnson (7 shared papers)Annabelle K. McIver (3 shared papers)
- Journals
- Computational Linguistics (3 papers)Language Resources and Evaluation (3 papers)International Journal of Medical Informatics (2 papers)Natural Language Engineering (2 papers)Suicide and Life-Threatening Behavior (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Mark Dras
127 papers receiving 1.7k citations
Mark Dras's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 1.3k
- Health Informatics 49
- Computer Science Applications 54
- Experimental and Cognitive Psychology 140
- Language and Linguistics 111
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 139 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 | 115 |
| 2 | 2020 | 89 | |
| 3 | 2019 | 68 | |
| 4 | Exploiting Parse Structures for Native Language Identification | 2011 | 59 |
| 5 | Elemental psychopathology: distilling constituent symptoms and patterns of repetition in the diagnostic criteria of the DSM-5 Hit paper breakdown → | 2023 | 59 |
| 6 | 2016 | 58 | |
| 7 | Contrastive Analysis and Native Language Identification | 2009 | 52 |
| 8 | 2022 | 51 | |
| 9 | Statistical Machine Translation of Australian Aboriginal Languages: Morphological Analysis with Languages of Differing Morphological Richness | 2007 | 47 |
| 10 | Language identification using classifier ensembles | 2015 | 46 |
| 11 | GLEU: Automatic Evaluation of Sentence-Level Fluency | 2007 | 44 |
| 12 | 2023 | 41 | |
| 13 | 2015 | 39 | |
| 14 | Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading | 2017 | 38 |
| 15 | Agent-Based Modeling Of The Evolution Of Vowel Harmony | 2002 | 35 |
| 16 | 2016 | 33 | |
| 17 | 2016 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2014 | 28 | |
| 20 | Exploring Adaptor Grammars for Native Language Identification | 2012 | 27 |
About Mark Dras
Mark Dras is a scholar working on Artificial Intelligence, Language and Linguistics, Social Psychology, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (63 papers), Authorship Attribution and Profiling (17 papers), Topic Modeling (10 papers), Syntax, Semantics, Linguistic Variation (9 papers), Adversarial Robustness in Machine Learning (7 papers), Team Dynamics and Performance (6 papers), Advanced Text Analysis Techniques (6 papers) and Ethics and Social Impacts of AI (4 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Informatics (49 citations), Computer Science Applications (54 citations), Experimental and Cognitive Psychology (140 citations) and Language and Linguistics (111 citations). Mark Dras has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Shervin Malmasi, Stephen Wan, Sze-Meng Jojo Wong, Robert Dale, Cécile L. Paris, Omid Mohamad Nezami, Mark S. Johnson, Annabelle K. McIver, Deborah Richards and Len Hamey. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation, International Journal of Medical Informatics, Natural Language Engineering and Suicide and Life-Threatening Behavior.
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.