Akitaka Matsuo
- Sociology and Political Science top 5%
- General Social Sciences top 0.1%
- Communication top 5%
- Political Science and International Relations top 5%
- Artificial Intelligence top 10%
- Co-authors
- Kenneth BenoitKohei WatanabePaul NultyAdam ObengStefan MüllerH. P. WangSeonghui LeeKentaro Fukumoto
- Topics
- Electoral Systems and Political Participation (3 papers)Computational and Text Analysis Methods (2 papers)Social Media and Politics (2 papers)
- Partner nations
- United KingdomJapanDenmark
In The Last Decade
Akitaka Matsuo
9 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Sociology and Political Science 319
- General Social Sciences 190
- Communication 177
- Political Science and International Relations 175
- Artificial Intelligence 161
Countries citing papers authored by Akitaka Matsuo
This map shows the geographic impact of Akitaka Matsuo'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 Akitaka Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akitaka Matsuo more than expected).
Fields of papers citing papers by Akitaka Matsuo
This network shows the impact of papers produced by Akitaka Matsuo. 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 Akitaka Matsuo. The network helps show where Akitaka Matsuo may publish in the future.
Co-authorship network of co-authors of Akitaka Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Akitaka Matsuo. A scholar is included among the top collaborators of Akitaka Matsuo 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 Akitaka Matsuo. Akitaka Matsuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Wrapper to the 'spaCy' 'NLP' Library [R package spacyr version 1.2.1] | 4 |
| 4 | Quantitative Analysis of Textual Data [R package quanteda version 2.1.2] | 1 |
| 5 | 0 | |
| 6 | quanteda: An R package for the quantitative analysis of textual databreakdown → | 780 |
| 7 | 1 | |
| 8 | 26 | |
| 9 | More positive, assertive and forward-looking: how Leave won Twitter | 0 |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 15 |
About Akitaka Matsuo
Akitaka Matsuo is a scholar working on General Social Sciences, Communication and Computer Science Applications, having authored 12 papers that have together received 863 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (3 papers), Computational and Text Analysis Methods (2 papers) and Social Media and Politics (2 papers). The work is most often cited by research in General Social Sciences (190 citations), Communication (177 citations) and Political Science and International Relations (175 citations). Akitaka Matsuo has collaborated with scholars based in United Kingdom, Japan and Denmark. Frequent co-authors include Kenneth Benoit, Kohei Watanabe, Paul Nulty, Adam Obeng, Stefan Müller, H. P. Wang, Seonghui Lee, Kentaro Fukumoto, Pablo Beramendi and Raymond Duch. Their work appears in journals such as Electoral Studies, Review of International Political Economy and Legislative Studies Quarterly.
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.