This map shows the geographic impact of Warren Shen'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 Warren Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Shen more than expected).
This network shows the impact of papers produced by Warren Shen. 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 Warren Shen. The network helps show where Warren Shen may publish in the future.
Co-authorship network of co-authors of Warren Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Warren Shen.
A scholar is included among the top collaborators of Warren Shen 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 Warren Shen. Warren Shen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Balakrishnan, S., Alon Halevy, Boulos Harb, et al.. (2015). Applying WebTables in Practice. Conference on Innovative Data Systems Research.36 indexed citations
3.
Madhavan, Jayant, S. Balakrishnan, Héctor González, et al.. (2012). Big Data Storytelling Through Interactive Maps. IEEE Data(base) Engineering Bulletin. 35. 46–54.9 indexed citations
4.
Venetis, Petros, Alon Halevy, Jayant Madhavan, et al.. (2011). Recovering semantics of tables on the web. Proceedings of the VLDB Endowment. 4(9). 528–538.195 indexed citations
5.
González, Héctor, et al.. (2010). Socialising Data with Google Fusion Tables.. IEEE Data(base) Engineering Bulletin. 33. 25–32.26 indexed citations
6.
González, Héctor, et al.. (2010). Google fusion tables. VBN Forskningsportal (Aalborg Universitet). 175–180.63 indexed citations
7.
González, Héctor, et al.. (2010). Google fusion tables. VBN Forskningsportal (Aalborg Universitet). 1061–1066.105 indexed citations
8.
Doan, AnHai, Jeffrey F. Naughton, Xiaoyong Chai, et al.. (2009). The Case for a Structured Approach to Managing Unstructured Data.. Conference on Innovative Data Systems Research.10 indexed citations
Shen, Warren, AnHai Doan, Jeffrey F. Naughton, & Raghu Ramakrishnan. (2007). Declarative information extraction using datalog with embedded extraction predicates. Very Large Data Bases. 1033–1044.117 indexed citations
14.
DeRose, Pedro, Warren Shen, Fei Chen, AnHai Doan, & Raghu Ramakrishnan. (2007). Building structured web community portals: a top-down, compositional, and incremental approach. Very Large Data Bases. 399–410.52 indexed citations
15.
Doan, AnHai, Philip Bohannon, Raghu Ramakrishnan, et al.. (2007). User-Centric Research Challenges in Community Information Management Systems.. IEEE Data(base) Engineering Bulletin. 30. 32–40.6 indexed citations
16.
DeRose, Pedro, Warren Shen, Fei Chen, et al.. (2007). DBLife: A Community Information Management Platform for the Database Research Community (Demonstration). Conference on Innovative Data Systems Research. 169–172.54 indexed citations
Doan, AnHai, Raghu Ramakrishnan, Fei Chen, et al.. (2006). Community Information Management.. IEEE Data(base) Engineering Bulletin. 29. 64–72.63 indexed citations
19.
Doan, AnHai, Robert McCann, & Warren Shen. (2005). Collaborative Development of Information Integration Systems.. National Conference on Artificial Intelligence. 34–41.2 indexed citations
20.
Shen, Warren, Xin Li, & AnHai Doan. (2005). Constraint-based entity matching. National Conference on Artificial Intelligence. 862–867.51 indexed citations
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.