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.
The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
2000644 citationsAnn Chervenak, Ian Foster et al.Journal of Network and Computer Applicationsprofile →
Characterizing and profiling scientific workflows
2012582 citationsGideon Juve, Ann Chervenak et al.Future Generation Computer Systemsprofile →
Characterization of scientific workflows
2008437 citationsAnn Chervenak, Ewa Deelman 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 Ann Chervenak'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 Ann Chervenak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Chervenak more than expected).
This network shows the impact of papers produced by Ann Chervenak. 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 Ann Chervenak. The network helps show where Ann Chervenak may publish in the future.
Co-authorship network of co-authors of Ann Chervenak
This figure shows the co-authorship network connecting the top 25 collaborators of Ann Chervenak.
A scholar is included among the top collaborators of Ann Chervenak 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 Ann Chervenak. Ann Chervenak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chervenak, Ann, Theo G.M. van Erp, Carl Kesselman, et al.. (2012). A system architecture for sharing de-identified, research-ready brain scans and health information across clinical imaging centers.. PubMed. 175. 19–28.4 indexed citations
Bharathi, S., et al.. (2005). Combining Virtual Organization and Local Policies for Automated Configuration of Grid Services. 194–202.2 indexed citations
Atkinson, Malcolm, Ann Chervenak, Peter Kunszt, et al.. (2003). The Grid 2: Blueprint for a New Computing Infrastructure (2nd edition),.30 indexed citations
14.
Chervenak, Ann, et al.. (2002). A Metadata Catalog Service for Data Intensive Applications. Conference of the Centre for Advanced Studies on Collaborative Research.6 indexed citations
Chervenak, Ann, et al.. (2001). Globus Toolkit Support for Distributed Data—Intensive Science. 692–695.7 indexed citations
17.
Chervenak, Ann, Ian Foster, Carl Kesselman, C. Salisbury, & Steven Tuecke. (2000). The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets. Journal of Network and Computer Applications. 23(3). 187–200.644 indexed citations breakdown →
Chervenak, Ann & Randy H. Katz. (1991). Performance of a RAID Prototype.. 188–197.1 indexed citations
20.
Chervenak, Ann & Randy H. Katz. (1991). Performance of a disk array protype. ACM SIGMETRICS Performance Evaluation Review. 19(1). 188–197.3 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.