Matthew Mulholland
- Artificial Intelligence top 5%
- Topic Modeling 12
- Natural Language Processing Techniques 12
- Speech and dialogue systems 8
- Speech Recognition and Synthesis 8
- Text Readability and Simplification 3
-
- Innovative Teaching and Learning Methods 4
- Educational Strategies and Epistemologies 4
- Education top 10%
-
- Speech and Audio Processing 4
- Co-authors
- Hee‐Sun LeeOu Lydia LiuAmy PallantKeelan EvaniniXinhao WangYao QianSarah PryputniewiczChongmin Lee
- Cited by
- Computer Science ApplicationsArtificial IntelligenceDevelopmental and Educational Psychology
- Journals
- International Journal of Artificial Intelligence in Education (1 paper)International Journal of Testing (1 paper)Educational Assessment (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Matthew Mulholland
26 papers receiving 323 citations
Peers
Comparison fields: 5 of 50
- Computer Science Applications 61
- Artificial Intelligence 219
- Developmental and Educational Psychology 83
- Health Informatics 5
- Education 90
Countries citing papers authored by Matthew Mulholland
This map shows the geographic impact of Matthew Mulholland'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 Matthew Mulholland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Mulholland more than expected).
Fields of papers citing papers by Matthew Mulholland
This network shows the impact of papers produced by Matthew Mulholland. 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 Matthew Mulholland. The network helps show where Matthew Mulholland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Mulholland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 3 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 3 | |
| 7 | Word-Embedding based Content Features for Automated Oral Proficiency Scoring | 2018 | 5 |
| 8 | 2018 | 58 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 30 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 13 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 11 | |
| 18 | 2015 | 13 | |
| 19 | 2014 | 52 | |
| 20 | Suicidal Tendencies: The Automatic Classification of Suicidal and Non-Suicidal Lyricists Using NLP | 2013 | 12 |
About Matthew Mulholland
Matthew Mulholland is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Signal Processing, Computer Science Applications and Linguistics and Language, having authored 26 papers that have together received 356 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (8 papers), Speech Recognition and Synthesis (8 papers), Innovative Teaching and Learning Methods (4 papers), Educational Strategies and Epistemologies (4 papers), Speech and Audio Processing (4 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Computer Science Applications (61 citations), Artificial Intelligence (219 citations), Developmental and Educational Psychology (83 citations), Health Informatics (5 citations) and Education (90 citations). Matthew Mulholland has collaborated with scholars based in United States and Norway. Frequent co-authors include Hee‐Sun Lee, Ou Lydia Liu, Amy Pallant, Keelan Evanini, Xinhao Wang, Yao Qian, Sarah Pryputniewicz, Chongmin Lee, Nitin Madnani and Aoife Cahill. Their work appears in journals such as International Journal of Artificial Intelligence in Education, International Journal of Testing, Educational Assessment, Science Education and ETS Research Report Series.
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.