Paul Nulty
Impact in
- General Social Sciences top 0.1%
- Computational and Text Analysis Methods
- Communication top 5%
- Social Media and Politics
- Media Studies and Communication
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 3
- Advanced Text Analysis Techniques 2
- Text Readability and Simplification 1
-
- Software Engineering Research 1
- Co-authors
- Kenneth Benoit (3 shared papers)Kohei Watanabe (2 shared papers)Adam Obeng (2 shared papers)Akitaka Matsuo (2 shared papers)H. P. Wang (1 shared paper)Stefan Müller (1 shared paper)Fintan Costello (1 shared paper)David Lillis (3 shared papers)
- Journals
- Lecture notes in computer science (2 papers)BIROn (Birkbeck, University of London) (1 paper)The Journal of Open Source Software (1 paper)London School of Economics and Political Science Research Online (London School of Economics and Political Science) (1 paper)
- Partner nations
- IrelandUnited KingdomIsrael
In The Last Decade
Paul Nulty
7 papers receiving 828 citations
Paul Nulty's Hit Papers
Peers
Comparison fields: 5 of 123
- General Social Sciences 193
- Communication 162
- Sociology and Political Science 293
- Political Science and International Relations 164
- Strategy and Management 85
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-authors
The 11 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 | quanteda: An R package for the quantitative analysis of textual data Hit paper breakdown → | 2018 | 858 |
| 2 | UCD-PN: Selecting General Paraphrases Using Conditional Probability | 2010 | 7 |
| 3 | Quantitative Analysis of Textual Data | 2016 | 5 |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | Quantitative Analysis of Textual Data [R package quanteda version 2.1.2] | 2020 | 2 |
| 7 | 2022 | 1 | |
| 8 | Network Visualisations for Exploring Political Concepts | 2017 | 1 |
About Paul Nulty
Paul Nulty is a scholar working on Artificial Intelligence, Information Systems, General Social Sciences, Communication and Political Science and International Relations, having authored 8 papers that have together received 880 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (3 papers), Computational and Text Analysis Methods (2 papers), Advanced Text Analysis Techniques (2 papers), Social and Cultural Dynamics (1 paper), Text Readability and Simplification (1 paper), Software Engineering Research (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in General Social Sciences (193 citations), Communication (162 citations), Sociology and Political Science (293 citations), Political Science and International Relations (164 citations) and Strategy and Management (85 citations). Paul Nulty has collaborated with scholars based in Ireland, United Kingdom and Israel. Frequent co-authors include Kenneth Benoit, Kohei Watanabe, Adam Obeng, Akitaka Matsuo, H. P. Wang, Stefan Müller, Fintan Costello, David Lillis, Stefan Müller and Haiyan Wang. Their work appears in journals such as Lecture notes in computer science, BIROn (Birkbeck, University of London), The Journal of Open Source Software and London School of Economics and Political Science Research Online (London School of Economics and Political Science).
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.