R.A. Roehrl

Papers

Total Citations

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About

R.A. Roehrl is a pioneering figure in high-performance distributed data mining, best known for early work that fused supercomputing with web-scale information retrieval. His most cited paper, "World Wide Web Robot for Extreme Datamining with Swiss-Tx Supercomputers" (1999), tackled the formidable software and hardware challenges of building a highly parallel web crawler on the Swiss-Tx supercomputer. This work demonstrated a novel application—a server count experiment comparing Switzerland and Thailand—that showcased how supercomputing architectures could be repurposed for extreme internet-scale data extraction. Though the paper has accrued only 2 citations, its conceptual ambition and technical foresight mark Roehrl as an early visionary in the field. His contributions lie at the intersection of parallel computing, robotics, and web mining, anticipating today's big data and AI-driven crawling systems by nearly two decades. Roehrl’s research remains a testament to the power of interdisciplinary thinking, bridging hardware design with algorithmic innovation to push the boundaries of what was computationally possible on the nascent web.