A potential function for computer simulation studies of proton transfer in acetylacetone. - Konrad Hinsen; Benoît Roux (J. Comput. Chem., 1997)

The molecular modeling toolkit: A new approach to molecular simulations. - Konrad Hinsen (J. Comput. Chem., 2000)

High-Level Scientific Programming with Python. - Konrad Hinsen (International Conference on Computational Science (3), 2002)

nMoldyn: A program package for a neutron scattering oriented analysis of molecular dynamics simulations. - Tomasz Róg; Krzysztof Murzyn; Konrad Hinsen; Gerald R. Kneller (J. Comput. Chem., 2003)

High-Level Parallel Software Development with Python and BSP. - Konrad Hinsen (Parallel Process. Lett., 2003)

Using B SP and Python to simplify parallel programming. - Konrad Hinsen; Hans Petter Langtangen; Ola Skavhaug; Åsmund Ødegård (Future Gener. Comput. Syst., 2006)

Parallel Scripting with Python. - Konrad Hinsen (Comput. Sci. Eng., 2007)

Structural flexibility in proteins: impact of the crystal environment. - Konrad Hinsen (Bioinform., 2008)

The Promises of Functional Programming. - Konrad Hinsen (Comput. Sci. Eng., 2009)

Essential Tools: Version Control Systems. - Konrad Hinsen; Konstantin Läufer; George K. Thiruvathukal (Comput. Sci. Eng., 2009)

Virtualization for Computational Scientists. - George K. Thiruvathukal; Konrad Hinsen; Konstantin Läufer; Joe Kaylor (Comput. Sci. Eng., 2010)

Computer code: incentives needed. - Konrad Hinsen (Nat., 2010)

A data and code model for reproducible research and executable papers. - Konrad Hinsen (ICCS, 2011)

Managing State. - Konrad Hinsen (Comput. Sci. Eng., 2012)

Caring for Your Data. - Konrad Hinsen (Comput. Sci. Eng., 2012)

nMoldyn 3: Using task farming for a parallel spectroscopy-oriented analysis of molecular dynamics simulations. - Konrad Hinsen; Eric Pellegrini; Slawomir Stachura; Gerald R. Kneller (J. Comput. Chem., 2012)

A Glimpse of the Future of Scientific Programming. - Konrad Hinsen (Comput. Sci. Eng., 2013)

Software Development for Reproducible Research. - Konrad Hinsen (Comput. Sci. Eng., 2013)

Daydreaming about Scientific Programming. - Konrad Hinsen (Comput. Sci. Eng., 2013)

Computational science: shifting the focus from tools to models. - Konrad Hinsen (F1000Research, 2014)

Platforms for publishing and archiving computer-aided research. - Konrad Hinsen (F1000Research, 2014)

MOSAIC: A Data Model and File Formats for Molecular Simulations. - Konrad Hinsen (J. Chem. Inf. Model., 2014)

Writing Software Specifications. - Konrad Hinsen (Comput. Sci. Eng., 2015)

The Approximation Tower in Computational Science: Why Testing Scientific Software Is Difficult. - Konrad Hinsen (Comput. Sci. Eng., 2015)

Technical Debt in Computational Science. - Konrad Hinsen (Comput. Sci. Eng., 2015)

Scientific notations for the digital era. - Konrad Hinsen (CoRR, 2016)

The Power to Create Chaos. - Konrad Hinsen (Comput. Sci. Eng., 2016)

Software vs. data in the context of citation. - Daniel S. Katz; Kyle E. Niemeyer; Arfon M. Smith; William L. Anderson; Carl Boettiger; Konrad Hinsen; Rob W. W. Hooft; Michael Hucka; Allen Lee; Frank Löffler 001; Tom J. Pollard; Fernando Rios (PeerJ Prepr., 2016)

The Roles of Code in Computational Science. - Konrad Hinsen (Comput. Sci. Eng., 2017)

A Dream of Simplicity: Scientific Computing on Turing Machines. - Konrad Hinsen (Comput. Sci. Eng., 2017)

Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities. - Sarah Cohen Boulakia; Khalid Belhajjame; Olivier Collin; Jérôme Chopard; Christine Froidevaux; Alban Gaignard; Konrad Hinsen; Pierre Larmande; Yvan Le Bras; Frédéric Lemoine 002; Fabien Mareuil; Hervé Ménager; et al. (Future Gener. Comput. Syst., 2017)

Sustainable computational science: the ReScience initiative. - Nicolas P. Rougier; Konrad Hinsen; Frédéric Alexandre; Thomas Arildsen; Lorena A. Barba; Fabien C. Y. Benureau; C. Titus Brown; Pierre de Buyl; Ozan Caglayan; Andrew P. Davison; Marc-André Delsuc; Georgios Detorakis; et al. (PeerJ Comput. Sci., 2017)

ReScience C: A Journal for Reproducible Replications in Computational Science. - Nicolas P. Rougier; Konrad Hinsen (RRPR, 2018)

Domain-Specific Languages in Scientific Computing. - Konrad Hinsen (Comput. Sci. Eng., 2018)

Reusable Versus Re-editable Code. - Konrad Hinsen (Comput. Sci. Eng., 2018)

Verifiability in computer-aided research: the role of digital scientific notations at the human-computer interface. - Konrad Hinsen (PeerJ Comput. Sci., 2018)

Digital scientific notations as a human-computer interface in computer-aided research. - Konrad Hinsen (PeerJ Prepr., 2018)

Dealing With Software Collapse. - Konrad Hinsen (Comput. Sci. Eng., 2019)

Computational Science in the Battle Against COVID-19. - Fernanda S. Foertter; Kelly P. Gaither; Konrad Hinsen; John West 001 (Comput. Sci. Eng., 2020)

The Magic of Content-Addressable Storage. - Konrad Hinsen (Comput. Sci. Eng., 2020)

Staged Computation: The Technique You Did Not Know You Were Using. - Konrad Hinsen (Comput. Sci. Eng., 2020)

Supercomputing in Python With Legate. - Michael Bauer 001; Wonchan Lee; Manolis Papadakis; Marcin Zalewski; Michael Garland; Konrad Hinsen; Anshu Dubey (Comput. Sci. Eng., 2021)

Insights From the Software Design of a Multiphysics Multicomponent Scientific Code. - Anshu Dubey; Konrad Hinsen (Comput. Sci. Eng., 2021)

PyOMP: Multithreaded Parallel Programming in Python. - Timothy G. Mattson; Todd A. Anderson 001; Giorgis Georgakoudis; Konrad Hinsen; Anshu Dubey (Comput. Sci. Eng., 2021)

Computational Science in the Battle Against COVID-19 - Part II. - Gabriel A. Wainer; Konrad Hinsen; Kelly P. Gaither (Comput. Sci. Eng., 2021)

Establishing trust in automated reasoning. - Konrad Hinsen (CoRR, 2023)

The Nature of Computational Models. - Konrad Hinsen (Comput. Sci. Eng., 2023)

The 2023 Society for Industrial and Applied Mathematics Conference on Computational Science and Engineering. - Damian W. I. Rouson; Konrad Hinsen; Jeffrey C. Carver; Irina Tezaur; John Shalf; Rio Yokota; Anshu Dubey (Comput. Sci. Eng., 2023)

Redressing the Balance: A Yin-Yang Perspective on Information Technology. - Konrad Hinsen (Onward!, 2024)

Software in science is ubiquitous yet overlooked. - Alexandre Hocquet; Frédéric Wieber; Gabriele Gramelsberger; Konrad Hinsen; Markus Diesmann; Fernando Pasquini Santos; Catharina Landström; Benjamin Peters; Dawid Kasprowicz; Arianna Borrelli; Phillip Roth; Clarissa Ai Ling Lee; et al. (Nat. Comput. Sci., 2024)