Collaboration and organizational structures in companies are changing, especially with the 'New Way of Working' post-COVID-19. From both a theoretical and practical perspective, a quantitative analysis of how skill levels evolve within the 'New Way of Working' provides valuable insights into...

We investigate the phenomenon of home bias in scientific citations, where researchers disproportionately cite work from their own country. We develop a benchmark for expected citations based on the relative size of countries, defining home bias as deviations from this norm. Our findings reveal...

We investigate the phenomenon of home bias in scientific citations, where researchers disproportionately cite work from their own country. We develop a benchmark for expected citations based on the relative size of countries, defining home bias as deviations from this norm. Our findings reveal...

In recent decades, Chinese researchers have become preeminent contributors to the scientific enterprise, as reflected by the number of publications originating from Chinese research institutions. China's rise in science has the potential to push forward the global frontier, but mere production...

In recent decades, Chinese researchers have become preeminent contributors to the scientific enterprise, as reflected by the number of publications originating from Chinese research institutions. China’s rise in science has the potential to push forward the global frontier, but mere production...

Purpose - Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is generating an emerging trend in Business Schools to use single journal impact factors (IFs) as key (unique)...

As one of the largest carbon emitters worldwide, China has promised to peak its carbon emissions by 2030 and achieve national carbon neutrality by 2060. In order to achieve the carbon reduction goal, the low-carbon pilot (LCP) program has been implemented in China since 2010. It is particularly...

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest. These rankings are invariably computed using estimates rather than the true values of such features. As a result, there may be considerable uncertainty concerning the...

How does the publication of patents affect innovation? We answer this question by exploiting a large-scale natural experiment--the passage of the American Inventor's Protection Act of 1999 (AIPA)--that accelerated the public disclosure of most U.S. patents by two years. We obtain causal...

Population Economics (PopEc) covers a number of topics in Economics, as well as in Demography, Labor Studies, Sociology, etc. For example, the economic determinants of population change and demographic behavior covers topics such as household formation, marriage and divorce, fertility, gender,...

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest. These rankings are invariably computed using estimates rather than the true values of such features. As a result, there may be considerable uncertainty concerning the...

We curate and characterize a complete set of citations from patents to scientific articles, including nearly 16 million from the full text of USPTO and EPO patents. Combining heuristics and machine learning, we achieve 25% higher performance than machine learning alone. At 99.4% accuracy,...

Economists are obsessed with rankings of institutions, journals, or scholars according to the value of some feature of interest. These rankings are invariably computed using estimates rather than the true values of such features. As a result, there may be considerable uncertainty concerning the...

This paper studies how recent investigations of foreign influence in research have affected the productivity of U.S. scientists in the field of life sciences. Using data from PubMed and Dimensions during 2010-2020, we compare scientists who collaborated with scientists in China during 2010-2014...

Purpose Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is generating an emerging trend in Business Schools to use single journal impact factors (IFs) as key (unique)...

Population Economics (PopEc) covers a number of topics in Economics, as well as in Demography, Labor Studies, Sociology, etc. For example, the economic determinants of population change and demographic behavior covers topics such as household formation, marriage and divorce, fertility, gender,...

We investigate the phenomenon of home bias in scientific citations, where researchers disproportionately cite work from their own country. We develop a benchmark for expected citations based on the relative size of countries, defining home bias as deviations from this norm. Our findings reveal...

This paper investigates the existence of racial disparities in the dissemination of ideas using the paper citation network in economics. Exploiting a comprehensive dataset of over 330,000 publications from 1950 to 2021, combined with manually collected data from the CVs of thousands of...

Der Begriff Open Innovation steht für die Öffnung von unternehmensinternen Innovationsprozessen für sogenannte "externe Quellen". Zu diesen externen Quellen zählen beispielsweise Lieferanten, Partner, Experten aus Forschungseinrichtungen und insbeson-dere auch Kunden. Diese werden gezielt in...

This paper analyzes the recognition of women's innovative ideas. Bibliometric data from research in economics are used to investigate gender biases in citation patterns. Based on deep learning and machine learning techniques, one can (1) establish the similarities between papers (2) build a link...

Brodeur et al. (2020) study a large number of hypothesis tests from top economic articles and find evidence for p-hacking or publication bias, in particular for articles using DID or IV as causal identification method. We show that a crucial continuity assumption is violated because many...

In science, self-citation is often interpreted as an act of self-promotion that (artificially) boosts the visibility of one’s prior work in the short term, which could then inflate professional authority in the long term. Recently, in light of research on the gender gap in self-promotion, two,...

We analyse the production and networks of Nobel laureates in Economics, employing the Normalized Impact Factor (NIF) of their publications in the Journal of Citation Report (Economics), to identify the academic leaders among those laureates awarded between 1969 and 2016. Our results indicate...

In science, self-citation is often interpreted as an act of self-promotion that (artificially) boosts the visibility of one's prior work in the short term, which could then inflate professional authority in the long term. Recently, in light of research on the gender gap in self-promotion, two,...

We curate and characterize a complete set of citations from patents to scientific articles, including nearly 16 million from the full text of USPTO and EPO patents. Combining heuristics and machine learning, we achieve 25% higher performance than machine learning alone. At 99.4% accuracy,...

Today, Karl Marx is considered one of the preeminent social scientists of the last two centuries, and ranks among the most frequently assigned authors in university syllabi. However in Marx's time, many competing sociological traditions and socialist political movements espoused similar ideas...

How does the publication of patents affect innovation? To answer this question, we exploit a large-scale natural experiment — the passage of the American Inventor's Protection Act (AIPA) — that accelerated the public disclosure of most patents in the U.S. by two years. After the passage of...

We analyse the production and networks of Nobel laureates in Economics, employing the Normalized Impact Factor (NIF) of their publications in the Journal of Citation Report (Economics), to identify the academic leaders among those laureates awarded between 1969 and 2016. Our results indicate...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...