Standout Papers

Deep learning with long short-term memory networks for financial market predictions 2016 2026 2019 2022 1.1k
  1. Deep learning with long short-term memory networks for financial market predictions (2017)
    Thomas Fischer, Christopher Krauß European Journal of Operational Research
  2. Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)
    Christopher Krauß, Nicolas Huck et al. European Journal of Operational Research

Immediate Impact

60 standout
Sub-graph 1 of 22

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
2025 Standout
Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
2025 Standout
2 intermediate papers

Works of Christopher Krauß being referenced

Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
2016 Standout

Author Peers

Author Last Decade Papers Cites
Christopher Krauß 584 693 1103 14 1.7k
Min Qi 535 626 776 28 1.8k
David Enke 399 581 1094 53 1.6k
Marcus O’Connor 202 442 1618 47 2.5k
Lijuan Cao 153 269 698 21 1.5k
Kyoung-jae Kim 302 438 1184 38 2.1k
Steven C. Hillmer 294 526 483 35 1.5k
Werner Kristjanpoller 532 1239 756 76 1.9k
Chi-Jie Lu 203 348 804 84 2.5k
Everette S. Gardner 115 348 1544 44 2.4k
Mehdi Bijari 75 315 1022 32 2.0k

All Works

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2026