Ryan Shaw
Impact in
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- Video Analysis and Summarization
Papers in
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- Semantic Web and Ontologies 14
- Natural Language Processing Techniques 7
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- Web Data Mining and Analysis 3
- Co-authors
- Patrick Schmitz (2 shared papers)David A. Shamma (2 shared papers)Yiming Liu (1 shared paper)Kaushik Dutta (1 shared paper)Debra VanderMeer (1 shared paper)Anindya Datta (1 shared paper)Marc Davis (1 shared paper)Eric Kansa (2 shared papers)
- Journals
- Proceedings of the American Society for Information Science and Technology (5 papers)PeerJ Computer Science (1 paper)Journal of the Association for Information Science and Technology (1 paper)Big Data & Society (1 paper)Transplantation and Cellular Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ryan Shaw
33 papers receiving 246 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 90
- Space and Planetary Science 5
- Artificial Intelligence 95
- Computer Science Applications 15
- Information Systems 48
Countries citing papers authored by Ryan Shaw
This map shows the geographic impact of Ryan Shaw'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 Ryan Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Shaw more than expected).
Fields of papers citing papers by Ryan Shaw
This network shows the impact of papers produced by Ryan Shaw. 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 Ryan Shaw. The network helps show where Ryan Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Shaw, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 46 | |
| 2 | 2006 | 28 | |
| 3 | 2011 | 27 | |
| 4 | 2020 | 23 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 15 | |
| 7 | 2015 | 15 | |
| 8 | LODE: Linking Open Descriptions of Events | 2009 | 15 |
| 9 | 2005 | 14 | |
| 10 | 2015 | 10 | |
| 11 | 2006 | 8 | |
| 12 | 2012 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2007 | 4 | |
| 15 | The missing profession: towards an institution of critical technical practice. | 2019 | 3 |
| 16 | 2023 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2011 | 2 |
About Ryan Shaw
Ryan Shaw is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Sociology and Political Science, having authored 35 papers that have together received 267 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Natural Language Processing Techniques (7 papers), Biomedical Text Mining and Ontologies (5 papers), Video Analysis and Summarization (4 papers), Data Quality and Management (3 papers), Web Data Mining and Analysis (3 papers), Music and Audio Processing (3 papers) and Digital Humanities and Scholarship (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Space and Planetary Science (5 citations), Artificial Intelligence (95 citations), Computer Science Applications (15 citations) and Information Systems (48 citations). Ryan Shaw has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Patrick Schmitz, David A. Shamma, Yiming Liu, Kaushik Dutta, Debra VanderMeer, Anindya Datta, Marc Davis, Eric Kansa, Lynda Hardman and Raphaël Troncy. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, PeerJ Computer Science, Journal of the Association for Information Science and Technology, Big Data & Society and Transplantation and Cellular Therapy.
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.