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.
Phase II Randomized Study of Neoadjuvant Everolimus Plus Letrozole Compared With Placebo Plus Letrozole in Patients With Estrogen Receptor–Positive Breast Cancer
2009504 citationsMichael Stumm, Heidi A. Lane et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Michael Stumm'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 Michael Stumm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Stumm more than expected).
This network shows the impact of papers produced by Michael Stumm. 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 Michael Stumm. The network helps show where Michael Stumm may publish in the future.
Co-authorship network of co-authors of Michael Stumm
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Stumm.
A scholar is included among the top collaborators of Michael Stumm 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 Michael Stumm. Michael Stumm 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.
Dong, Siying, et al.. (2021). Evolution of Development Priorities in Key-value Stores Serving Large-scale Applications: The {RocksDB} Experience. File and Storage Technologies. 33–49.13 indexed citations
Stumm, Michael, et al.. (2008). Otherworld: giving applications a chance to survive OS kernel crashes. TSpace. 2–2.2 indexed citations
9.
Stumm, Michael, et al.. (2006). Software error early detection system based on run-time statistical analysis of function return values. 3–3.1 indexed citations
10.
Soules, Craig A. N., Jonathan Appavoo, Robert W. Wisniewski, et al.. (2003). System Support for Online Reconfiguration. USENIX Annual Technical Conference. 141–154.83 indexed citations
Birkenhake, S., Susann Neubauer, Michael Stumm, et al.. (1997). Increased radiosensitivity in ataxia-telangiectasia patients (A-T), A-T heterozygotes and cancer patients. Radiology. 205. 718–718.2 indexed citations
16.
Zhou, Songnian, Michael Stumm, Kai Li, & David B. Wortman. (1995). Heterogeneous distributed shared memory. IEEE Computer Society Press eBooks. 327–341.25 indexed citations
17.
Stumm, Michael, et al.. (1995). Linear Loop Transformations in Optimising Compilers for Parallel Machines.. Australian Computer Journal. 27. 41–50.8 indexed citations
18.
Stumm, Michael, et al.. (1995). Hierarchical Ring Topologies and the Effect of Their Bisection Bandwidth Constraints.. Proceedings of the International Conference on Parallel Processing. 51–55.4 indexed citations
Stumm, Michael, et al.. (1990). An Architecture for a Trusted Network.. 105–113.
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.