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.
Countries citing papers authored by Bianca Schroeder
Since
Specialization
Citations
This map shows the geographic impact of Bianca Schroeder'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 Bianca Schroeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca Schroeder more than expected).
Fields of papers citing papers by Bianca Schroeder
This network shows the impact of papers produced by Bianca Schroeder. 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 Bianca Schroeder. The network helps show where Bianca Schroeder may publish in the future.
Co-authorship network of co-authors of Bianca Schroeder
This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Schroeder.
A scholar is included among the top collaborators of Bianca Schroeder 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 Bianca Schroeder. Bianca Schroeder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schroeder, Bianca, et al.. (2020). A Study of SSD Reliability in Large Scale Enterprise Storage Deployments.. File and Storage Technologies. 45. 137–149.11 indexed citations
4.
Hwang, Andy A., et al.. (2019). Evaluating File System Reliability on Solid State Drives.. USENIX Annual Technical Conference. 783–798.8 indexed citations
Stefanovici, Ioan, et al.. (2017). Proactive error prediction to improve storage system reliability. USENIX Annual Technical Conference. 391–402.34 indexed citations
9.
Stefanovici, Ioan, et al.. (2017). Improving Storage System Reliability with Proactive Error Prediction. USENIX Annual Technical Conference.19 indexed citations
10.
Stefanovici, Ioan, Bianca Schroeder, Greg O’Shea, & Eno Thereska. (2016). sRoute: Treating the Storage Stack Like a Network.. File and Storage Technologies. 197–212.20 indexed citations
11.
Schroeder, Bianca, et al.. (2016). Flash reliability in production: the expected and the unexpected. File and Storage Technologies. 67–80.149 indexed citations
12.
Sanghavi, Sujay, Sanjay Shakkottai, Marc Lelarge, & Bianca Schroeder. (2014). The 2014 ACM international conference on Measurement and modeling of computer systems.5 indexed citations
Bairavasundaram, Lakshmi N., et al.. (2008). An analysis of data corruption in the storage stack. File and Storage Technologies. 15.14 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.