output
20162026
most citedMultiple imputation of multilevel missing data: An introduction to the R package pan

141 citations

10 papers

physics.space-ph2026★ 1 cited

Compressive Structures in the Foreshock of Collisionless Shocks

Savvas Raptis, Domenico Trotta, Drew L. Turner +11

Collisionless shocks are fundamental accelerators of energetic particles; yet, the observations of nonlinear foreshock structures, which are essential in acceleration processes, di…

cs.CY2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…

physics.ed-ph2025★ 13 cited

Evaluating GPT- and Reasoning-based Large Language Models on Physics Olympiad Problems: Surpassing Human Performance and Implications for Educational Assessment

Paul Tschisgale, Holger Maus, Fabian Kieser +3

Large language models (LLMs) are now widely accessible, reaching learners at all educational levels. This development has raised concerns that their use may circumvent essential le…

astro-ph.SR2025★ 9 cited

Investigation of Inverse Velocity Dispersion in a Solar Energetic Particle Event Observed by Solar Orbiter

Zheyi Ding, F. Robert Wimmer-Schweingruber, Alexander Kollhoff +15

Inverse velocity dispersion (IVD) events, characterized by higher-energy particles arriving later than lower-energy particles, challenge the classical understanding of SEP events a…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1168

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cond-mat.mes-hall2024★ 1 cited

Resistively detected electron spin resonance and g-factor in few-layer exfoliated MoS2 devices

Chithra H. Sharma, Appanna Parvangada, Lars Tiemann +3

MoS2 has recently emerged as a promising material for enabling quantum devices and spintronic applications. In this context, an improved physical understanding of the g-factor of M…

physics.plasm-ph2021★ 15 cited

A new low-beta regime for unstable proton firehose modes in bi-Kappa distributed plasmas

S. M. Shaaban, M. Lazar, R. F. Wimmer-Schweingruber +1

In the solar wind plasma an excess of kinetic temperature along the background magnetic field stimulates proton firehose modes to grow if the parallel plasma beta parameter is suff…

math.OC2020★ 5 cited

Simultaneous optimisation of temperature and energy in linear energy system models

Patrik Schönfeldt, Adrian Grimm, Bhawana Neupane +6

Linear programming is used as a standard tool for optimising unit commitment or power flows in energy supply systems. For heat supply systems, however, it faces a relevant limitati…

stat.CO2016★ 141 cited

Multiple imputation of multilevel missing data: An introduction to the R package pan

Simon Grund, Oliver Lüdtke, Alexander Robitzsch

The treatment of missing data can be difficult in multilevel research because state-of-the-art procedures such as multiple imputation (MI) may require advanced statistical knowledg…

stat.ME2016★ 60 cited

Multiple imputation of missing covariate values in multilevel models with random slopes: A cautionary note

Simon Grund, Oliver Lüdtke, Alexander Robitzsch

Multiple imputation (MI) has become one of the main procedures used to treat missing data, but the guidelines from the methodological literature are not easily transferred to multi…