This map shows the geographic impact of Daniel Deutch'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 Daniel Deutch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Deutch more than expected).
This network shows the impact of papers produced by Daniel Deutch. 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 Daniel Deutch. The network helps show where Daniel Deutch may publish in the future.
Co-authorship network of co-authors of Daniel Deutch
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Deutch.
A scholar is included among the top collaborators of Daniel Deutch 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 Daniel Deutch. Daniel Deutch is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Deutch, Daniel, Tanu Malik, & Adriane Chapman. (2022). Theory and Practice of Provenance. Proceedings of the 2022 International Conference on Management of Data. 2544–2545.2 indexed citations
Deutch, Daniel, et al.. (2020). ExplainED. Proceedings of the VLDB Endowment. 13(12). 2917–2920.5 indexed citations
7.
Deutch, Daniel, et al.. (2018). Provenance for Non-Experts.. IEEE Data(base) Engineering Bulletin. 41. 3–14.5 indexed citations
8.
Davidson, Susan B., Daniel Deutch, Tova Milo, & Gianmaria Silvello. (2017). A Model for Fine-Grained Data Citation.. Research Padua Archive (University of Padua). 17.10 indexed citations
9.
Davidson, Susan B., Peter Buneman, Daniel Deutch, Tova Milo, & Gianmaria Silvello. (2017). Data Citation. PubMed. 2017. 1–4.6 indexed citations
Davidson, Susan B., et al.. (2014). Approximated Provenance for Complex Applications.2 indexed citations
12.
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
13.
Deutch, Daniel, et al.. (2013). PROPOLIS. Proceedings of the VLDB Endowment. 6(12). 1302–1305.4 indexed citations
14.
Deutch, Daniel & Tova Milo. (2012). Business Processes.1 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.