M. Keating
Papers
1
Total Citations
54
H-Index
1
About
M. Keating’s research focuses on the efficient management and retrieval of large-scale, multi-dimensional datasets, particularly in the context of tertiary storage systems. Their most-cited work, “Efficient organization and access of multi-dimensional datasets on tertiary storage systems” (1995, 54 citations), addresses the critical challenge of optimizing data layout and access patterns for slow, high-capacity storage tiers—a foundational problem in scientific computing and data-intensive fields. Keating’s contributions include novel indexing and clustering strategies that minimize I/O bottlenecks, enabling faster querying of massive spatial and temporal datasets. This work has influenced subsequent research in data-intensive computing, digital libraries, and geospatial information systems. While their citation count reflects a specialized but impactful niche, Keating’s insights remain relevant as modern data volumes continue to outpace primary storage capacities. Their research underscores the enduring importance of storage hierarchy optimization in an era of exponential data growth.
Research Focus
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Top Papers
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