Paul Nulty
- General Social Sciences top 0.1%
- Computational and Text Analysis Methods 4
- Communication top 2%
- Social Media and Politics 3
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- Electoral Systems and Political Participation 1
- Artificial Intelligence top 5%
- Topic Modeling 11
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 3
- Text Readability and Simplification 2
- Speech and dialogue systems 1
- Co-authors
- Kenneth BenoitKohei WatanabeAdam ObengAkitaka MatsuoH. P. WangStefan MüllerDavid LillisYannis Theocharis
- Journals
- Natural Language Engineering (1 paper)Digital Scholarship in the Humanities (1 paper)Electoral Studies (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Paul Nulty
21 papers receiving 976 citations
Hit Papers
Peers
Comparison fields: 5 of 141
- General Social Sciences 196
- Communication 231
- Political Science and International Relations 227
- Artificial Intelligence 267
- Sociology and Political Science 341
Countries citing papers authored by Paul Nulty
This map shows the geographic impact of Paul Nulty'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 Paul Nulty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Nulty more than expected).
Fields of papers citing papers by Paul Nulty
This network shows the impact of papers produced by Paul Nulty. 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 Paul Nulty. The network helps show where Paul Nulty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Nulty, 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 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 61 | |
| 7 | Quantitative Analysis of Textual Data [R package quanteda version 2.1.2] | 2020 | 1 |
| 8 | 2019 | 1 | |
| 9 | 2019 | 9 | |
| 10 | quanteda: An R package for the quantitative analysis of textual databreakdown → | 2018 | 780 |
| 11 | 2018 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 118 | |
| 16 | Quantitative Analysis of Textual Data | 2016 | 5 |
| 17 | 2013 | 2 | |
| 18 | UCD-PN: Selecting General Paraphrases Using Conditional Probability | 2010 | 6 |
| 19 | 2009 | 2 | |
| 20 | 2007 | 2 |
About Paul Nulty
Paul Nulty is a scholar working on General Social Sciences, Tourism, Leisure and Hospitality Management, Family Practice, Communication and Artificial Intelligence, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Computational and Text Analysis Methods (4 papers), Social Media and Politics (3 papers), Advanced Text Analysis Techniques (3 papers), Text Readability and Simplification (2 papers), Electoral Systems and Political Participation (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in General Social Sciences (196 citations), Communication (231 citations), Political Science and International Relations (227 citations), Artificial Intelligence (267 citations) and Sociology and Political Science (341 citations). Paul Nulty has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Kenneth Benoit, Kohei Watanabe, Adam Obeng, Akitaka Matsuo, H. P. Wang, Stefan Müller, David Lillis, Yannis Theocharis, Congcong Wang and Fintan Costello. Their work appears in journals such as Natural Language Engineering, Digital Scholarship in the Humanities, Electoral Studies, Cognitive Science and Journal of the History of Ideas.
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.