Michael E. Rose
Economics of Science · Social Network Analysis · Machine Learning
Welcome and Moin! I am a Post-Doctoral Researcher at the Max Planck Institute for Innovation and Competition in Munich.
Economics of Science · Social Network Analysis · Machine Learning
Welcome and Moin! I am a Post-Doctoral Researcher at the Max Planck Institute for Innovation and Competition in Munich.
Adviser Connectedness and Placement Outcomes in the Economics Job Market
Labour Economics (in press)
with Suraj Shekhar Data repositoryResearch Policy 51(10), 2022
with Daniel C. Opolot and Co-Pierre Georg
Journal of Applied Econometrics 37(4), 2022
The Rise of Multiple Institutional Affiliations
Journal of the Association for Information Science and Technology 72(8), 2021
with Hanna Hottenrott and Cornelia Lawson
Blogs: Ökonomenstimme LSE Impact Blog
What 5,000 Acknowledgements Tell Us About Informal Collaboration in Financial Economics
Research Policy 50(6), July 2021
with Co-Pierre Georg
pybliometrics: Scriptable bibliometrics using a Python interface to Scopus
SoftwareX 10 (July-December) 2019
with John R. Kitchin
Funding databases for Ukrainian academics
Science 377(6605), July 2022
with Valentina Mosienko, Marina Pelepets and Sanita Reinsone
Addressing the needs of Ukrainian scholars at risk
Nature Human Behaviour 6(6), June 2022
with Maciej Maryl, Oleksandra V. Ivashchenko, Matiss Reinfelds and Sanita Reinsone
Women in Creative Labor: Inventors, Entrepreneurs and Academics
Ulla Weber (ed.): Fundamental Questions. Gender Dimensions in Max Planck Research Projects, Nomos: 2021, p. 135-154
with Laura Bechthold, Marina Chugunova, Svenja Friess and Karin Hoisl
Logic Mill - A Knowledge Navigation System
arXiv 2301.00200, December 2022
with Sebastian Ehrhardt, Mainak Ghosh, Erik Buunk and Dietmar Harhoff
Allegations of Sexual Misconduct, Accused Scientists, and Their Research
Max Planck Institute for Innovation and Competition Research Paper No. 22-18, October 2022
with Rainer Widmann and Marina Chugunova
Finding Doppelgängers in Scopus: How to Build Scientists Control Groups Using Sosia
Max Planck Institute for Innovation and Competition Discussion Paper No. 20, Dec 2020
with Stefano H. Baruffaldi
Informal Intellectual Collaboration with Central Colleagues
Kiel Working Paper 2084, June 2017
with Co-Pierre Geor and Daniel C. Opolot
Blogs: LSE Impact Blog
(Dis-)Agreement among Central Banks
Nobelwomen: Status and Gender Balance in Science
with Laura Rosendahl Huber and Stefano H. Baruffaldi
Ping Entrepreneurial Ecosystem
with Aaron Defort and Dietmar Harhoff
pybliometrics (formerly scopus)
John Kitchin and I develop pybliometrics, being a Python module for easy, large-scale interaction with Elsevier's Scopus bibliometric database.
sosia
Stefano Baruffaldi and I develop sosia, a Python module to match researchers online in the Scopus database (useful for Diff-in-Diff analysis).
scholarmetrics
I develop scholarmetrics, a python package for fast computation of citation metrics.
I believe in data sharing. Here is my contribution:
Being an empirical researcher, I'd like to recommend a number of "manuals" that helped me set foot in the academic world: