--- title: "Information Systems and Management — papers" description: "Information Systems and Management: 14 papers of the Elamur Research library, the most cited first — our summary of each, its ideas, references and who…" canonical: "https://research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Decision Sciences](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) / Information Systems and Management # 🎯 Information Systems and Management 14 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Information Systems and Management is a subfield of Decision Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Scientific Computing and Data Management», «Academic Publishing and Open Access», «Ethics in Business and Education». ## Papers 1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) 2. [**Array Programming with NumPy**Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.*2020 · 23,591 citations*](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/) 3. [**CORD-19: The COVID-19 Open Research Dataset**Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.*2020 · 685 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/) 4. [**HybridFlow: A Flexible and Efficient RLHF Framework**Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.*2024 · 598 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2024-hybridflow-flexible-efficient-rlhf-framework/) 5. [**Aligning AI With Shared Human Values**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 382 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-aligning-ai-shared-human-values/) 6. [**Learning to Classify Email into “Speech Acts”**William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell*2004 · 264 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2004-learning-classify-email-into-speech/) 7. [**The Curse of Recursion: Training on Generated Data Makes Models Forget**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2023 · 250 citations*](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/) 8. [**Reusable Tagset Conversion Using Tagset Drivers**Daniel Zeman*2008 · 181 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2008-reusable-tagset-conversion-tagset-drivers/) 9. [**Agent Laboratory: Using LLM Agents as Research Assistants**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 136 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/) 10. [**Is This Idea Novel? An Automated Benchmark for Judgment of Research Ideas**Tim Schopf, Michael Färber*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/schopf-2026-is-this-idea-novel-automated/) 11. [**Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable**Wenhui Chen, Jianlin Chen, Ziyao Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-auditing-discovery-claims-two/) 12. [**Best-Worst Scaling of Hype in Biomedical Research: Building an Intensity Lexicon of Promotional Adjectives**Neil Millar, Dipesh Satav, Bojan Batalo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/millar-2026-best-worst-scaling-hype-biomedical/) 13. [**From Noise to Signal: When Outliers Seed New Topics**Evangelia Zve, Gauvain Bourgne, Benjamin Icard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zve-2026-noise-signal-when-outliers-seed/) 14. [**Integrating Services, Platforms and Resources into a National Infrastructure Cluster for FAIR Language and Cultural Data**Giulia Pedonese, Daniele Melaccio, Michele Mallia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pedonese-2026-integrating-services-platforms-resources-into/) Updated 23 October 2026 - [← previous subfield General Decision Sciences](https://md.research.elamur.ai/free/en/shelves/decision-sciences/general-decision-sciences/) - [next subfield → Management Science and Operations Research](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) - [↑ back to Decision Sciences](https://md.research.elamur.ai/free/en/shelves/decision-sciences/)