This map shows the geographic impact of Tova Milo'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 Tova Milo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tova Milo more than expected).
This network shows the impact of papers produced by Tova Milo. 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 Tova Milo. The network helps show where Tova Milo may publish in the future.
Co-authorship network of co-authors of Tova Milo
This figure shows the co-authorship network connecting the top 25 collaborators of Tova Milo.
A scholar is included among the top collaborators of Tova Milo 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 Tova Milo. Tova Milo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Milo, Tova, et al.. (2020). Towards Autonomous, Hands-Free Data Exploration.. Conference on Innovative Data Systems Research.3 indexed citations
6.
Krishnan, Sanjay, Jiannan Wang, Michael J. Franklin, et al.. (2015). SampleClean: Fast and Reliable Analytics on Dirty Data.. IEEE Data(base) Engineering Bulletin. 38. 59–75.28 indexed citations
7.
Amsterdamer, Yael, et al.. (2015). Managing General and Individual Knowledge in Crowd Mining Applications. Conference on Innovative Data Systems Research.8 indexed citations
8.
Deutch, Daniel, Zachary G. Ives, Tova Milo, & Val Tannen. (2013). Caravan: Provisioning for What-If Analysis. Conference on Innovative Data Systems Research.17 indexed citations
9.
Davidson, Susan B., Sanjeev Khanna, Sudeepa Roy, et al.. (2011). Enabling privacy in provenance-aware workflow systems. ScholarlyCommons (University of Pennsylvania). 215–218.19 indexed citations
10.
Deutch, Daniel & Tova Milo. (2009). Querying Future and Past in Business Processes.. IEEE Data(base) Engineering Bulletin. 32. 29–34.
11.
Milo, Tova, et al.. (2009). Querying DAG-shaped Execution Traces Through Views.1 indexed citations
12.
Beeri, Catriel, et al.. (2006). Querying business processes. Very Large Data Bases. 343–354.81 indexed citations
13.
Neven, Frank, Catriel Beeri, & Tova Milo. (2003). Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems. International Conference on Management of Data.14 indexed citations
Abiteboul, Serge, et al.. (1999). Tools for Data Translation and Integration.. IEEE Data(base) Engineering Bulletin. 22. 3–8.38 indexed citations
17.
Milo, Tova, et al.. (1998). Using Schema Matching to Simplify Heterogeneous Data Translation. Very Large Data Bases. 122–133.253 indexed citations
18.
Beeri, Catriel, et al.. (1996). On Genericity and Parametricity.. 104–116.2 indexed citations
19.
Abiteboul, Serge, Sophie Cluet, & Tova Milo. (1994). More on Updating the File..1 indexed citations
20.
Beeri, Catriel & Tova Milo. (1991). A Model for Active Object Oriented Databases. Very Large Data Bases. 337–349.47 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.