Character identification in evolutionary biology: The role of the organism. - Günter P. Wagner; Manfred D. Laubichler (Theory Biosci., 2000)

Ontogeny, anatomy, and the problem of homology: Carl Gegenbaur and the American tradition of cell lineage studies. - Manfred D. Laubichler; Jane Maienschein (Theory Biosci., 2003)

Anomalous subgraph detection in publication networks: Leveraging truth. - Nadya T. Bliss; B. R. Erick Peirson; Deryc T. Painter; Manfred D. Laubichler (ACSSC, 2014)

Temporal and multi-source fusion for detection of innovation in collaboration networks. - Benjamin A. Miller; Michelle S. Beard; Manfred D. Laubichler; Nadya T. Bliss (FUSION, 2015)

The relativity of biological function. - Manfred D. Laubichler; Peter F. Stadler; Sonja J. Prohaska; Katja Nowick (Theory Biosci., 2015)

Bridging the Gap: the Digital Innovation Group. - Julia Luise Damerow; B. R. Erick Peirson; Manfred D. Laubichler (DH, 2016)

Quantitative Perspectives on Fifty Years of the Journal of the History of Biology. - B. R. Erick Peirson; Erin Bottino; Julia L. Damerow; Manfred D. Laubichler (CoRR, 2017)

Measuring the contributions of Chinese scholars to the research field of systems biology from 2005 to 2013. - Yawen Zou; Manfred D. Laubichler (Scientometrics, 2017)

The Scalability, Efficiency and Complexity of Universities and Colleges: A New Lens for Assessing the Higher Educational System. - Ryan C. Taylor; Xiaofan Liang; Manfred D. Laubichler; Geoffrey B. West; Christopher P. Kempes; Marion Dumas (CoRR, 2019)

Quantifying simultaneous innovations in evolutionary medicine. - Deryc T. Painter; Frank van der Wouden; Manfred D. Laubichler; Hyejin Youn (Theory Biosci., 2020)

The Past as a Stochastic Process. - David H. Wolpert; Michael H. Price; Stefani A. Crabtree; Timothy A. Kohler; Jürgen Jost; James Evans; Peter F. Stadler; Hajime Shimao; Manfred D. Laubichler (CoRR, 2021)

Introduction to the special issue: quantifying collectivity. - Bryan C. Daniels; Manfred D. Laubichler; Jessica C. Flack (Theory Biosci., 2021)

Innovations are disproportionately likely in the periphery of a scientific network. - Deryc T. Painter; Bryan C. Daniels; Manfred D. Laubichler (Theory Biosci., 2021)

Interdisciplinarity, gender, and the hierarchy of the sciences. - Stephanie Pfirman; Manfred D. Laubichler (Quant. Sci. Stud., 2023)

Computational History: Challenges and Opportunities of Formal Approaches. - Jürgen Jost; Roberto Lalli; Manfred D. Laubichler; Eckehard Olbrich; Jürgen Renn; Guillermo Restrepo; Peter F. Stadler; Dirk Wintergrün (J. Soc. Comput., 2023)

Bayesian Learning in a Nonlinear Multiscale State-Space Model. - Nayely Vélez-Cruz; Manfred D. Laubichler (CoRR, 2024)

A Generalized Framework for Multiscale State-Space Modeling with Nested Nonlinear Dynamics: An Application to Bayesian Learning under Switching Regimes. - Nayely Vélez-Cruz; Manfred D. Laubichler (CoRR, 2024)