Sean Chester
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Gautam SrivastavaVenkatesh SrinivasanIra AssentAlex ThomoBruce M. KapronDarius ŠidlauskasSue WhitesidesLeon Derczynski
- Topics
- Data Management and Algorithms (16 papers)Privacy, Security, and Data Protection (5 papers)Privacy-Preserving Technologies in Data (5 papers)
In The Last Decade
Sean Chester
28 papers receiving 326 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 168
- Signal Processing 143
- Sociology and Political Science 103
- Computer Networks and Communications 93
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Sean Chester
This map shows the geographic impact of Sean Chester'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 Sean Chester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Chester more than expected).
Fields of papers citing papers by Sean Chester
This network shows the impact of papers produced by Sean Chester. 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 Sean Chester. The network helps show where Sean Chester may publish in the future.
Co-authorship network of co-authors of Sean Chester
This figure shows the co-authorship network connecting the top 25 collaborators of Sean Chester. A scholar is included among the top collaborators of Sean Chester 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 Sean Chester. Sean Chester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | Tune Your Brown Clustering, Please | 10 |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | On the Suitability of Skyline Queries for Data Exploration | 6 |
| 16 | 32 | |
| 17 | k-Anonymization of Social Networks by Vertex Addition. | 31 |
| 18 | 1 | |
| 19 | 26 | |
| 20 | 3 |
About Sean Chester
Sean Chester is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Geography, Planning and Development, having authored 29 papers that have together received 337 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Privacy, Security, and Data Protection (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Signal Processing (143 citations), Geography, Planning and Development (45 citations) and Artificial Intelligence (168 citations). Sean Chester has collaborated with scholars based in Canada, Denmark and Norway. Frequent co-authors include Gautam Srivastava, Venkatesh Srinivasan, Ira Assent, Alex Thomo, Bruce M. Kapron, Darius Šidlauskas, Sue Whitesides, Leon Derczynski, Ulrike Stege and Svetha Venkatesh. Their work appears in journals such as BMC Bioinformatics, Proceedings of the VLDB Endowment and The VLDB Journal.
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.