Ryan Shaw
Impact in
-
- Video Analysis and Summarization
Papers in ⓘ
-
- Semantic Web and Ontologies 14
- Natural Language Processing Techniques 7
-
- 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)Marc Davis (1 shared paper)Anindya Datta (1 shared paper)Debra VanderMeer (1 shared paper)Eric Kansa (2 shared papers)
- Journals
- Proceedings of the American Society for Information Science and Technology (5 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Bulletin of the Institute of Classical Studies (1 paper)PeerJ Computer Science (1 paper)Biology of Blood and Marrow Transplantation (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ryan Shaw
33 papers receiving 243 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 89
- Space and Planetary Science 5
- Artificial Intelligence 93
- Computer Science Applications 15
- Applied Microbiology and Biotechnology 5
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 | 26 | |
| 4 | 2020 | 23 | |
| 5 | 2016 | 18 | |
| 6 | LODE: Linking Open Descriptions of Events | 2009 | 15 |
| 7 | 2016 | 15 | |
| 8 | 2005 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 10 | |
| 11 | 2006 | 8 | |
| 12 | 2014 | 6 | |
| 13 | 2012 | 6 | |
| 14 | 2007 | 4 | |
| 15 | The missing profession: towards an institution of critical technical practice. | 2019 | 3 |
| 16 | 2013 | 3 | |
| 17 | 2014 | 3 | |
| 18 | Action: A framework for semantic annotation of events in video | 2004 | 2 |
| 19 | 2015 | 2 | |
| 20 | 2013 | 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 263 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), Music and Audio Processing (3 papers), Digital Humanities and Scholarship (3 papers), Data Quality and Management (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Space and Planetary Science (5 citations), Artificial Intelligence (93 citations), Computer Science Applications (15 citations) and Applied Microbiology and Biotechnology (5 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, Marc Davis, Anindya Datta, Debra VanderMeer, Eric Kansa, Michael K. Buckland and Lynda Hardman. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, IEEE Transactions on Knowledge and Data Engineering, Bulletin of the Institute of Classical Studies, PeerJ Computer Science and Biology of Blood and Marrow Transplantation.
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.