Electronic discussions in information systems (poster). - Martyn Clark (ITiCSE, 1998)

A Personal Theory of Teaching Computing Through Final Year Projects. - Martyn Clark; Roger D. Boyle (Comput. Sci. Educ., 1999)

Getting participation through discussion. - Martyn Clark (SIGCSE, 2000)

Case studies in admissions to and early performance in computer science degrees. - Sylvia Alexander; Martyn Clark; Ken Loose; June Amillo; Mats Daniels; Roger D. Boyle; Cary Laxer; Dermot Shinners-Kennedy (ACM SIGCSE Bull., 2003)

The relationship between CS education research and the SIGCSE community. - Michael Goldweber; Martyn Clark; Sally Fincher; Arnold Pears (ITiCSE, 2004)

CS++: content is not enough. - Roger D. Boyle; Martyn Clark (SIGCSE, 2004)

The relationship between CS education research and the SIGCSE community. - Michael Goldweber; Martyn Clark; Sally Fincher (SIGCSE, 2004)

Constructing the discipline of computing : implications for the curriculum. - Martyn Clark (2004)

The Transition from School to University: Would Prior Study of Computing Help? - Martyn Clark; Roger D. Boyle (ISSEP, 2005)

Computer Science in English High Schools: We Lost the S, Now the C Is Going. - Martyn Clark; Roger D. Boyle (ISSEP, 2006)

High school computing clubs: a pilot study. - Andrew Bennett; Joanna Briggs; Martyn Clark (ITiCSE, 2006)

State Support for the Expansion of UK University Computing in the 1950s. - Martyn Clark (IEEE Ann. Hist. Comput., 2010)

The Positive Impact of Deliberate Writing Course Design on Student Learning Experience and Performance. - Alia Lancaster; Scott Moses; Martyn Clark; Megan C. Masters (J. Learn. Anal., 2020)

Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. - Young-Don Choi; Jonathan L. Goodall; Jeffrey M. Sadler; Anthony M. Castronova; Andrew Bennett; Zhiyu Li; Bart Nijssen; Shaowen Wang 001; Martyn Clark; Daniel P. Ames; Jeffery S. Horsburgh; Hong Yi; et al. (Environ. Model. Softw., 2021)

Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Chaopeng Shen; Alison P. Appling; Pierre Gentine; Toshiyuki Bandai; Hoshin V. Gupta; Alexandre Tartakovsky; Marco Baity-Jesi; Fabrizio Fenicia; Daniel Kifer; Li Li; Xiaofeng Liu; Wei Ren; et al. (CoRR, 2023)

RY4GIT/perceptual-models: v1.2: McMillan et al., 2025 release. - Hilary K. McMillan; Ryoko Araki; Lauren Bolotin; Dong-Hyun Kim; Gemma Coxon; Martyn Clark; Jan Seibert (Zenodo, 2025)