Alexander Hoyle
Impact in
- General Social Sciences top 5%
- Computational and Text Analysis Methods
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- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
Papers in
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- Computational and Text Analysis Methods 6
-
- Topic Modeling 5
- Natural Language Processing Techniques 2
- Advanced Text Analysis Techniques 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Philip Resnik (4 shared papers)Jordan Boyd‐Graber (2 shared papers)John P. Lalor (1 shared paper)Robin Jia (1 shared paper)Joe Barrow (1 shared paper)Pedro Rodríguez (1 shared paper)Simeng Sun (1 shared paper)Chau Pham (1 shared paper)
- Journals
- The Journal of Politics (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)Research at the University of Copenhagen (University of Copenhagen) (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Alexander Hoyle
7 papers receiving 70 citations
Peers
Comparison fields: 5 of 23
- General Social Sciences 16
- Artificial Intelligence 47
- Information Systems 16
- Modeling and Simulation 2
- Communication 3
Countries citing papers authored by Alexander Hoyle
This map shows the geographic impact of Alexander Hoyle'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 Alexander Hoyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hoyle more than expected).
Fields of papers citing papers by Alexander Hoyle
This network shows the impact of papers produced by Alexander Hoyle. 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 Alexander Hoyle. The network helps show where Alexander Hoyle may publish in the future.
Co-authors
The 20 scholars most cited alongside Alexander Hoyle, 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 | 2021 | 27 | |
| 2 | 2024 | 17 | |
| 3 | 2022 | 12 | |
| 4 | 2023 | 10 | |
| 5 | 2019 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2025 | 0 |
About Alexander Hoyle
Alexander Hoyle is a scholar working on General Social Sciences, Artificial Intelligence, Communication, Political Science and International Relations and Education, having authored 10 papers that have together received 73 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (2 papers), Media Studies and Communication (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Electoral Systems and Political Participation (1 paper) and Education and Technology Integration (1 paper). The work is most often cited by research in General Social Sciences (16 citations), Artificial Intelligence (47 citations), Information Systems (16 citations), Modeling and Simulation (2 citations) and Communication (3 citations). Alexander Hoyle has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Philip Resnik, Jordan Boyd‐Graber, John P. Lalor, Robin Jia, Joe Barrow, Pedro Rodríguez, Simeng Sun, Chau Pham, Mohit Iyyer and Dominik Stammbach. Their work appears in journals such as The Journal of Politics, Repository for Publications and Research Data (ETH Zurich) and Research at the University of Copenhagen (University of Copenhagen).
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.