Terry Ruas
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
Papers in
-
- Topic Modeling 13
- Natural Language Processing Techniques 11
- Advanced Text Analysis Techniques 5
- Text and Document Classification Technologies 3
- Semantic Web and Ontologies 2
- Co-authors
- William I. Grosky (7 shared papers)Béla Gipp (13 shared papers)Akiko Aizawa (3 shared papers)Moritz Schubotz (2 shared papers)Saif M. Mohammad (3 shared papers)Georg Rehm (3 shared papers)Bruce R. Miller (1 shared paper)Marouane Kessentini (1 shared paper)
- Journals
- Perspectivas em Ciência da Informação (1 paper)Scientometrics (1 paper)Journal of Artificial Intelligence Research (1 paper)Information Sciences (1 paper)IEEE Multimedia (1 paper)
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Terry Ruas
23 papers receiving 201 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 6
- Artificial Intelligence 121
- Software 10
- Information Systems 44
- Modeling and Simulation 8
Countries citing papers authored by Terry Ruas
This map shows the geographic impact of Terry Ruas'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 Terry Ruas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terry Ruas more than expected).
Fields of papers citing papers by Terry Ruas
This network shows the impact of papers produced by Terry Ruas. 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 Terry Ruas. The network helps show where Terry Ruas may publish in the future.
Co-authors
The 19 scholars most cited alongside Terry Ruas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 28 | |
| 2 | 2020 | 24 | |
| 3 | 2014 | 20 | |
| 4 | 2020 | 15 | |
| 5 | 2010 | 14 | |
| 6 | 2016 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 2 |
About Terry Ruas
Terry Ruas is a scholar working on Artificial Intelligence, Strategy and Management, Information Systems, Health Informatics and Safety Research, having authored 25 papers that have together received 209 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Advanced Text Analysis Techniques (5 papers), Text and Document Classification Technologies (3 papers), Software Engineering Research (2 papers), Ethics and Social Impacts of AI (2 papers), Semantic Web and Ontologies (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (121 citations), Software (10 citations), Information Systems (44 citations) and Modeling and Simulation (8 citations). Terry Ruas has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include William I. Grosky, Béla Gipp, Akiko Aizawa, Moritz Schubotz, Saif M. Mohammad, Georg Rehm, Bruce R. Miller, Marouane Kessentini, Till Blume and Fabrício Olivetti de França. Their work appears in journals such as Perspectivas em Ciência da Informação, Scientometrics, Journal of Artificial Intelligence Research, Information Sciences and IEEE Multimedia.
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.