Corin R. Anderson
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Daniel S. WeldPedro DomingosDavid E. SmithDani LischinskiEric HorvitzDavid SalesinTessa LauOren Etzioni
- Topics
- Recommender Systems and Techniques (6 papers)Web Data Mining and Analysis (5 papers)Semantic Web and Ontologies (3 papers)
- Journals
- Digital Access to Scholarship at Harvard (DASH) (Harvard University)International Joint Conference on Artificial IntelligenceNational Conference on Artificial Intelligence
- Partner nations
- United States
In The Last Decade
Corin R. Anderson
15 papers receiving 534 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 311
- Information Systems 247
- Computer Networks and Communications 148
- Computer Vision and Pattern Recognition 148
- Computer Graphics and Computer-Aided Design 63
Countries citing papers authored by Corin R. Anderson
This map shows the geographic impact of Corin R. Anderson'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 Corin R. Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corin R. Anderson more than expected).
Fields of papers citing papers by Corin R. Anderson
This network shows the impact of papers produced by Corin R. Anderson. 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 Corin R. Anderson. The network helps show where Corin R. Anderson may publish in the future.
Co-authorship network of co-authors of Corin R. Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Corin R. Anderson. A scholar is included among the top collaborators of Corin R. Anderson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Corin R. Anderson. Corin R. Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Research on Statistical Relational Learning at the University of Washington | 1 |
| 2 | Automatically personalizing user interfaces | 62 |
| 3 | 87 | |
| 4 | A machine learning approach to web personalization | 17 |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 31 | |
| 8 | Adaptive web navigation for wireless devices | 66 |
| 9 | Web Site Personalizers for Mobile Devices | 7 |
| 10 | 71 | |
| 11 | 3 | |
| 12 | Declarative Web Site Management with Tiramisu. | 16 |
| 13 | Conditional effects in Graphplan | 51 |
| 14 | Extending Graphplan to handle uncertainty and sensing actions | 164 |
| 15 | 73 |
About Corin R. Anderson
Corin R. Anderson is a scholar working on Human-Computer Interaction, Information Systems and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 655 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Web Data Mining and Analysis (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (63 citations), Information Systems (247 citations) and Artificial Intelligence (311 citations). Corin R. Anderson has collaborated with scholars based in United States. Frequent co-authors include Daniel S. Weld, Pedro Domingos, Daniel S. Weld, David E. Smith, Dani Lischinski, Eric Horvitz, David Salesin, Tessa Lau, Oren Etzioni and Krzysztof Z. Gajos. Their work appears in journals such as Digital Access to Scholarship at Harvard (DASH) (Harvard University), International Joint Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
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.