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.
Neurosurgeon
2017527 citationsYiping Kang, Johann Hauswald et al.ACM SIGARCH Computer Architecture Newsprofile →
Bubble-Up
2011451 citationsJason Mars, Lingjia Tang et al.profile →
Neurosurgeon
2017449 citationsYiping Kang, Johann Hauswald et al.profile →
Bubble-flux
2013264 citationsHailong Yang, Jason Mars 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 Jason Mars'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 Jason Mars with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Mars more than expected).
This network shows the impact of papers produced by Jason Mars. 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 Jason Mars. The network helps show where Jason Mars may publish in the future.
Co-authorship network of co-authors of Jason Mars
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Mars.
A scholar is included among the top collaborators of Jason Mars 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 Jason Mars. Jason Mars is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Davies, A. G., et al.. (2017). The ASTER Volcano Archive (AVA): High Spatial Resolution Global Monitoring of Volcanic Eruptions. AGUFM. 2017.1 indexed citations
Olukotun, Kunle, A. Gordon Smith, Robert Hundt, & Jason Mars. (2015). Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization.6 indexed citations
15.
Skach, Matt, Manish Arora, Chang-Hong Hsu, et al.. (2015). Thermal time shifting. 439–449.40 indexed citations
Zhai, Yan, et al.. (2014). HaPPy: hyperthread-aware power profiling dynamically. USENIX Annual Technical Conference. 211–218.23 indexed citations
18.
Soffa, Mary Lou, Kristen R. Walcott, & Jason Mars. (2011). Exploiting hardware advances for software testing and debugging.. International Conference on Software Engineering. 888–891.5 indexed citations
Rowan, Lawrence C., et al.. (2001). Characterization of mine waste materials and hydrothermally altered rocks in the rio Tinto mining district (southwest Spain) using hymap data. 65–68.3 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.