Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
HaLoop
2010464 citationsBill Howe, Magdalena Bałazińska et al.profile →
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations
2015322 citationsDominik Moritz, Bill Howe et al.profile →
SkewTune
2012305 citationsYongChul Kwon, Magdalena Bałazińska et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Bill Howe'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 Bill Howe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Howe more than expected).
This network shows the impact of papers produced by Bill Howe. 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 Bill Howe. The network helps show where Bill Howe may publish in the future.
Co-authorship network of co-authors of Bill Howe
This figure shows the co-authorship network connecting the top 25 collaborators of Bill Howe.
A scholar is included among the top collaborators of Bill Howe 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 Bill Howe. Bill Howe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yan, An & Bill Howe. (2019). Fairness in Practice: A Survey on Equity in Urban Mobility. IEEE Data(base) Engineering Bulletin. 42(3). 49–60.5 indexed citations
6.
Stoyanovich, Julia & Bill Howe. (2019). Nutritional Labels for Data and Models. IEEE Data(base) Engineering Bulletin. 42(3). 13–23.27 indexed citations
7.
Howe, Bill, et al.. (2018). Query2Vec: NLP Meets Databases for Generalized Workload Analytics.. arXiv (Cornell University).3 indexed citations
8.
Wang, Jingjing, Magdalena Bałazińska, Daniel Halperin, et al.. (2017). The Myria Big Data Management and Analytics System and Cloud Services.. Conference on Innovative Data Systems Research.31 indexed citations
Moran, Mary Ann, Elizabeth B. Kujawinski, Aron Stubbins, et al.. (2016). Deciphering ocean carbon in a changing world. Proceedings of the National Academy of Sciences. 113(12). 3143–3151.234 indexed citations
11.
Kwon, YongChul, Kai Ren, Magdalena Bałazińska, & Bill Howe. (2013). Managing Skew in Hadoop.. IEEE Data(base) Engineering Bulletin. 36. 24–33.21 indexed citations
12.
Upadhyaya, Prasang, Nicholas Anderson, Magdalena Bałazińska, et al.. (2013). Stop that query! The need for managing data use. Conference on Innovative Data Systems Research.4 indexed citations
13.
Howe, Bill & Daniel Halperin. (2012). Advancing Declarative Query in the Long Tail of Science.. IEEE Data(base) Engineering Bulletin. 35. 16–26.1 indexed citations
14.
Key, Alicia, Bill Howe, Daniel Perry, & C. Aragon. (2012). VizDeck. 681–684.95 indexed citations
15.
Connolly, Andrew J., et al.. (2011). Astronomical Image Processing with Hadoop. ASPC. 442. 93.14 indexed citations
16.
Loebman, Sarah, et al.. (2009). 2009 IEEE International Conference on Cluster Computing and Workshops. 1–10.3 indexed citations
17.
Suciu, Dan, Andrew J. Connolly, & Bill Howe. (2009). Embracing Uncertainty in Large-Scale Computational Astrophysics.. 63–77.14 indexed citations
18.
Bermúdez, Luis, et al.. (2007). Data and Semantic Interoperability for the Oceans Sensor Web. AGU Fall Meeting Abstracts. 2007.
19.
Howe, Bill, David Maier, & Laura F. Bright. (2007). Smoothing the ROI Curve for Scientific Data Management Applications.. Conference on Innovative Data Systems Research. 185–195.10 indexed citations
20.
Howe, Bill & David Maier. (2005). Retrofitting a data model to existing environmental data. 3–13.
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.