Countries citing papers authored by Jennifer M. Schopf
Since
Specialization
Citations
This map shows the geographic impact of Jennifer M. Schopf'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 Jennifer M. Schopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Schopf more than expected).
Fields of papers citing papers by Jennifer M. Schopf
This network shows the impact of papers produced by Jennifer M. Schopf. 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 Jennifer M. Schopf. The network helps show where Jennifer M. Schopf may publish in the future.
Co-authorship network of co-authors of Jennifer M. Schopf
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Schopf.
A scholar is included among the top collaborators of Jennifer M. Schopf 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 Jennifer M. Schopf. Jennifer M. Schopf 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.
Leigh, Jennifer S. A., et al.. (2017). Monitoring Big Data Transfers Over International Research Network Connections. eScholarship (California Digital Library).2 indexed citations
Leigh, Jason, et al.. (2016). NetSage: Open Privacy-Aware Network Measurement, Analysis, And Visualization Service. eScholarship (California Digital Library).1 indexed citations
Newhouse, Steven, Jennifer M. Schopf, Andrew Richards, & Malcolm Atkinson. (2007). Study of User Priorities for e-Infrastructure for e-Research (SUPER).14 indexed citations
7.
Antonioletti, Mario, Jennifer M. Schopf, Alastair Hume, et al.. (2006). Profiling OGSA-DAI Performance for Common Use Patterns.7 indexed citations
8.
Schopf, Jennifer M., Ioan Raicu, Laura Pearlman, et al.. (2006). Monitoring and Discovery in a Web Services Framework: Functionality and Performance of Globus Toolkit MDS4.73 indexed citations
9.
Antonioletti, Mario, Malcolm Atkinson, Neil Chue Hong, et al.. (2005). Jackson, M., Lloyd, A. and Sloan, T. Enabling Access to Federated Grid Databases: An OGSA-DAI ODBC Driver. Proceedings of UK e-Science All Hands Meeting, Nottingham, 19th-22nd September 2005..6 indexed citations
10.
Schopf, Jennifer M.. (2004). Ten actions when Grid scheduling: the user as a Grid scheduler. Kluwer Academic Publishers eBooks. 15–23.30 indexed citations
11.
Schopf, Jennifer M. & Steven Newhouse. (2004). 1 State of Grid Users: 25 Conversations with UK eScience Groups.9 indexed citations
Schopf, Jennifer M.. (2004). Introduction to Grid Computing. APS March Meeting Abstracts. 2004.38 indexed citations
14.
Berman, Francine, Rich Wolski, Henri Casanova, et al.. (2003). Adaptive computing on the grid using AppLeS. IEEE Transactions on Parallel and Distributed Systems. 14(4). 369–382.286 indexed citations
15.
Vazhkudai, Sudharshan S. & Jennifer M. Schopf. (2003). Predicting sporadic grid data transfers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 12. 188–196.51 indexed citations
16.
Yang, Lingyun, Jennifer M. Schopf, & Ian Foster. (2003). Conservative Scheduling. 31–31.113 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.