Brian Roark

5.2k total citations
127 papers, 3.4k citations indexed

About

Brian Roark is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Brian Roark has authored 127 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 16 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Brian Roark's work include Natural Language Processing Techniques (93 papers), Topic Modeling (74 papers) and Speech Recognition and Synthesis (32 papers). Brian Roark is often cited by papers focused on Natural Language Processing Techniques (93 papers), Topic Modeling (74 papers) and Speech Recognition and Synthesis (32 papers). Brian Roark collaborates with scholars based in United States, United Kingdom and Türkiye. Brian Roark's co-authors include Michael Collins, Murat Saraçlar, Kristy Hollingshead, Michiel Bacchiani, Margaret Mitchell, Cyril Allauzen, Mark Johnson, Eugene Charniak, Melanie Fried‐Oken and Emily Prud’hommeaux and has published in prestigious journals such as Journal of Neural Engineering, Neurorehabilitation and neural repair and Computational Linguistics.

In The Last Decade

Brian Roark

125 papers receiving 3.0k citations

Peers

Brian Roark
Comparison fields: 5 of 99
  • Artificial Intelligence 2.6k
  • Cognitive Neuroscience 678
  • Signal Processing 296
  • Developmental and Educational Psychology 233
  • Computer Vision and Pattern Recognition 183
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Citations per field, relative to Brian Roark
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Citations per year, relative to Brian Roark
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Countries citing papers authored by Brian Roark

Since Specialization
Citations

This map shows the geographic impact of Brian Roark'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 Brian Roark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Roark more than expected).

Fields of papers citing papers by Brian Roark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Roark. 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 Brian Roark. The network helps show where Brian Roark may publish in the future.

Co-authorship network of co-authors of Brian Roark

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Roark. A scholar is included among the top collaborators of Brian Roark 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 Brian Roark. Brian Roark 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
# Work Indexed citations
1 1
2 2
3 19
4
Smoothed marginal distribution constraints for language modeling
6
5
The Utility of Manual and Automatic Linguistic Error Codes for Identifying Neurodevelopmental Disorders
4
6 37
7
An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling
9
8
Beam-Width Prediction for Efficient Context-Free Parsing
15
9
Lexicographic Semirings for Exact Automata Encoding of Sequence Models
10
10
Unary Constraints for Efficient Context-Free Parsing
3
11
Efficient Matrix-Encoded Grammars and Low Latency Parallelization Strategies for CYK
9
12
Classification of Atypical Language in Autism
25
13
Semi-Supervised Modeling for Prenominal Modifier Ordering
6
14
Scanning methods and language modeling for binary switch typing
27
15
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Tutorial Abstracts
0
16
OHSU Summarization and Entity Linking Systems.
4
17
Multiple Sequence Alignment for Morphology Induction.
2
18
Query-focused Supervised Sentence Ranking for Update Summaries.
12
19
The utility of parse-derived features for automatic discourse segmentation
31
20
Pipeline Iteration
18

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.

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