Authored

Nersessian, N.J: “Why/how to study scientific thinking?”, Qualitative Psychology, 11:263-276, 2024

“In vitro analogies,” Routledge Handbook of Scientific Modeling, T. Knuuttila, N. Carrillo, & R. Koskinen, eds., (London: Routledge, Chapter 34, 409-481, 2024)

“Interdisciplinarities in action: Cognitive ethnography of bioengineering sciences research laboratories,” Perspectives on Science, Special Issue: Methods for Investigating Interdisciplinary Practices, 27:553-581, 2019

“Engineering concepts: The interplay between concept formation and modeling practices in bioengineering sciences,” Mind, Culture, & Activity Special Issue: Concept Formation in the Wild, 19:222-239, 2012 

“Mental modeling in conceptual change,” in International Handbook of Conceptual Change, S. Vosniadou, ed. (London: Routledge, 2008, pp. 391-416)

“Kuhn, conceptual change, and cognitive science” in Thomas Kuhn, T. Nickles, ed. Contemporary Philosophy in Focus Series, (Cambridge University Press, 2002), pp. 178-211

“Maxwell and ‘the method of physical analogy’: Model-based reasoning, generic abstraction, and conceptual change,” in Reading Natural Philosophy: Essays in the History and Philosophy of Science and Mathematics,D. Malament ed. (LaSalle, IL: Open Court, 2002), pp. 129-166

“How do scientists think?  Capturing the dynamics of conceptual change in science,” in Cognitive Models of Science, R. Giere, ed., Minnesota Studies in the Philosophy of Science 15 (Minneapolis:  University of Minnesota Press, 1992) pp. 3-45

“Why do thought experiments work?” Proceedings of the Cognitive Science Society 13(Hillsdale, NJ: Lawrence Erlbaum, 1991), pp. 430-438

“Aether/or: The creation of scientific concepts,” Studies in the History & Philosophy of Science 15: 175-212, 1984

Co-Authored

Stuart, M. & Nersessian, N.J.: “Peeking inside the black box: A new kind of scientific visualization,” Minds and Machines, Special Issue: The epistemological significance of methods in computer simulation, on-line 11/18, 29:87-107, 2019.

MacLeod, M. & Nersessian, N.J.: “Modeling complexity: Cognitive constraints and computational model-building in integrative systems biology,” History and Philosophy of the Life Sciences, Special Issue: Computational Simulation in the Life Sciences, on-line 1/18; 40:70, 2018.

Osbeck, L. & Nersessian, N.J.: “Epistemic identities in interdisciplinary science,” Perspectives on Science on-line 3/17; 25:226-260, 2017.

MacLeod, M. & Nersessian, N.J.: “Interdisciplinary problem solving: emerging modes in integrative systems biology,” European Journal for the Philosophy of Science, on-line 7/16; 6:401-418, 2016.

Chandrasekharan, S. & Nersessian, N.J.: “Building cognition: The construction of computational representations for scientific discovery,” Cognitive Science, (extended article) on-line 11/14; 39:1727-1763, 2015.

MacLeod, M. & Nersessian, N.J.: “Building simulations from the ground up: Modeling and theory in systems biology,” Philosophy of Science 80: 533-556, 2013.

Aurigemma, J., Chandrasekharan, S., Nersessian, N.J., & Newstetter, W.: “Turning experiments into objects: The cognitive processes involved in the design of a lab-on-a-chip device,” Journal of Engineering Education, Special Issue: Representations 102: 117-140, 2013.

Dogan, F. & Nersessian, N.J.: “Conceptual diagrams in creative architectural practice: the case of Daniel Libeskind’s Jewish Museum,” Architectural Research Quarterly 16:14-28, 2012. 

Osbeck, L. & Nersessian, N.J.: “Forms of positioning in interdisciplinary science practice and their epistemic effects,” The Journal for the Theory of Social Behaviour, 40:136-161, 2010.

Catrambone, R., Craig, D.L., & Nersessian, N.J.: “The role of perceptually represented structure in analogical problem solving,” Memory and Cognition 34:1126-1132, 2006