Lora Aroyo
Impact in
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
- Open Education and E-Learning
- Health Informatics top 2%
Papers in
-
- Semantic Web and Ontologies 67
- Topic Modeling 27
- Natural Language Processing Techniques 18
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- Mobile Crowdsensing and Crowdsourcing 39
- Open Education and E-Learning 19
- Co-authors
- Chris Welty (26 shared papers)Darina Dicheva (21 shared papers)Johan Oomen (14 shared papers)Praveen Paritosh (3 shared papers)Natalia Stash (10 shared papers)Nithya Sambasivan (1 shared paper)Shivani Kapania (1 shared paper)Guus Schreiber (22 shared papers)
- Journals
- Journal of Web Semantics (4 papers)Semantic Web (3 papers)IEEE Intelligent Systems (3 papers)AI Magazine (2 papers)Computational Linguistics (2 papers)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Lora Aroyo
182 papers receiving 2.7k citations
Lora Aroyo's Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Science Applications 680
- Health Informatics 76
- Artificial Intelligence 1.5k
- Information Systems 839
- Human-Computer Interaction 141
Countries citing papers authored by Lora Aroyo
This map shows the geographic impact of Lora Aroyo'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 Lora Aroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora Aroyo more than expected).
Fields of papers citing papers by Lora Aroyo
This network shows the impact of papers produced by Lora Aroyo. 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 Lora Aroyo. The network helps show where Lora Aroyo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lora Aroyo, 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI Hit paper breakdown → | 2021 | 407 |
| 2 | 2008 | 304 | |
| 3 | 2011 | 162 | |
| 4 | 2015 | 148 | |
| 5 | The New Challenges for E-learning: The Educational Semantic Web | 2004 | 109 |
| 6 | Interoperability in Personalized Adaptive Learning | 2006 | 107 |
| 7 | 2008 | 82 | |
| 8 | 2008 | 77 | |
| 9 | 2017 | 54 | |
| 10 | The Next Big Thing: Adaptive Web-Based Systems | 2006 | 48 |
| 11 | 2013 | 44 | |
| 12 | 2018 | 43 | |
| 13 | 2010 | 41 | |
| 14 | 2009 | 41 | |
| 15 | 2009 | 37 | |
| 16 | 2019 | 37 | |
| 17 | Personalized Museum Experience: The Rijksmuseum Use Case | 2007 | 32 |
| 18 | Intelligent agents for educational computer-aided systems | 2000 | 30 |
| 19 | 2011 | 30 | |
| 20 | 2001 | 28 |
About Lora Aroyo
Lora Aroyo is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 192 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (67 papers), Mobile Crowdsensing and Crowdsourcing (39 papers), Topic Modeling (27 papers), Video Analysis and Summarization (23 papers), Recommender Systems and Techniques (21 papers), Open Education and E-Learning (19 papers), Natural Language Processing Techniques (18 papers) and Multimedia Communication and Technology (15 papers). The work is most often cited by research in Computer Science Applications (680 citations), Health Informatics (76 citations), Artificial Intelligence (1.5k citations), Information Systems (839 citations) and Human-Computer Interaction (141 citations). Lora Aroyo has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Chris Welty, Darina Dicheva, Johan Oomen, Praveen Paritosh, Natalia Stash, Nithya Sambasivan, Shivani Kapania, Guus Schreiber, Lloyd Rutledge and Bob Wielinga. Their work appears in journals such as Journal of Web Semantics, Semantic Web, IEEE Intelligent Systems, AI Magazine and Computational Linguistics.
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.