Citations per year, relative to Manasi Vartak Manasi Vartak (= 1×)
peers
Sean Kandel
Countries citing papers authored by Manasi Vartak
Since
Specialization
Citations
This map shows the geographic impact of Manasi Vartak'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 Manasi Vartak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manasi Vartak more than expected).
This network shows the impact of papers produced by Manasi Vartak. 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 Manasi Vartak. The network helps show where Manasi Vartak may publish in the future.
Co-authorship network of co-authors of Manasi Vartak
This figure shows the co-authorship network connecting the top 25 collaborators of Manasi Vartak.
A scholar is included among the top collaborators of Manasi Vartak 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 Manasi Vartak. Manasi Vartak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vartak, Manasi & Samuel Madden. (2018). MODELDB: Opportunities and Challenges in Managing Machine Learning Models.. IEEE Data(base) Engineering Bulletin. 41. 16–25.25 indexed citations
4.
Vartak, Manasi, et al.. (2018). MISTIQUE. 1285–1300.40 indexed citations
5.
Vartak, Manasi, et al.. (2018). MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
6.
Vartak, Manasi, et al.. (2017). A Meta-Learning Perspective on Cold-Start Recommendations for Items. Neural Information Processing Systems. 30. 6904–6914.84 indexed citations
7.
Vartak, Manasi. (2017). MODELDB: A System for Machine Learning Model Management.. Conference on Innovative Data Systems Research.34 indexed citations
8.
Vartak, Manasi, Silu Huang, Tarique Siddiqui, Samuel Madden, & Aditya Parameswaran. (2017). Towards Visualization Recommendation Systems. ACM SIGMOD Record. 45(4). 34–39.79 indexed citations
9.
Vartak, Manasi, Silu Huang, Tarique Siddiqui, Samuel Madden, & Aditya Parameswaran. (2016). Towards Visualization Recommendation Systems. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Vartak, Manasi, et al.. (2016). M odel DB. 1–3.85 indexed citations
12.
Elmore, Aaron J., Jennie Duggan, Michael Stonebraker, et al.. (2015). A demonstration of the BigDAWG polystore system. Proceedings of the VLDB Endowment. 8(12). 1908–1911.55 indexed citations
13.
Vartak, Manasi, Sajjadur Rahman, Samuel Madden, Aditya Parameswaran, & Neoklis Polyzotis. (2015). S ee DB. Proceedings of the VLDB Endowment. 8(13). 2182–2193.126 indexed citations
14.
Vartak, Manasi, Samuel Madden, Aditya Parameswaran, & Neoklis Polyzotis. (2014). SeeDB. Proceedings of the VLDB Endowment. 7(13). 1581–1584.57 indexed citations
Razzaq, Leena, et al.. (2008). The AS SISTment Builder: Supporting the Life Cycle of ITS Content Creation. Digital WPI.5 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.