What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Entrepreneurship, Developing country, Economic growth, Small business and Empirical evidence.
His work carried out in the field of Entrepreneurship brings together such families of science as Development studies, Government, Productivity, Poverty and Economic system.
He has included themes like Erikson's stages of psychosocial development, Development economics, Function and Human development in his Developing country study.
Within one scientific family, Wim Naudé focuses on topics pertaining to Globalization under Development economics, and may sometimes address concerns connected to Industrialisation, Industrial policy, Emerging markets and Recession.
His Economic growth research incorporates elements of Developed country, Profit, Demographic economics and Urban agglomeration.
Wim Naudé combines subjects such as Market failure, Extreme poverty, Applied economics, Service and Variety with his study of Small business.
His most cited work include:
- Entrepreneurship, Developing Countries and Development Economics: New Approaches and Insights (267 citations)
- Determinants of tourist arrivals in Africa: a panel data regression analysis (258 citations)
- What Do We Know About The Patterns and Determinants of Female Entrepreneurship Across Countries (224 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Entrepreneurship, Development economics, Economic growth, Developing country and Productivity.
Wim Naudé connects Entrepreneurship with Empirical evidence in his study.
His Development economics study integrates concerns from other disciplines, such as Per capita income, Financial crisis and Vulnerability.
His Economic growth research is multidisciplinary, relying on both Developed country and Demographic economics.
His Developing country research is multidisciplinary, incorporating elements of Development studies, Investment and International economics.
In his study, which falls under the umbrella issue of Productivity, Artificial intelligence is strongly linked to Endogenous growth theory.
He most often published in these fields:
- Entrepreneurship (96.54%)
- Development economics (34.01%)
- Economic growth (31.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Entrepreneurship (96.54%)
- Context (11.24%)
- Artificial intelligence (7.20%)
In recent papers he was focusing on the following fields of study:
Entrepreneurship, Context, Artificial intelligence, Aggregate demand and Industrial policy are his primary areas of study.
His work on Self-employment as part of general Entrepreneurship study is frequently linked to Narrative, bridging the gap between disciplines.
His studies in Artificial intelligence integrate themes in fields like Incentive, Information privacy and Damages.
His studies deal with areas such as Industrialisation and Trade facilitation as well as Industrial policy.
His Emerging technologies study combines topics from a wide range of disciplines, such as Economic system and Industrial Revolution.
His Economic system research includes elements of Variety and Business ecosystem.
Between 2017 and 2021, his most popular works were:
- Artificial intelligence vs COVID-19: limitations, constraints and pitfalls. (73 citations)
- Artificial Intelligence Against Covid-19: An Early Review (33 citations)
- Artificial Intelligence Against Covid-19: An Early Review (33 citations)
In his most recent research, the most cited papers focused on:
Wim Naudé mainly investigates Entrepreneurship, Artificial intelligence, Pandemic, Diagnostic data and Information privacy.
Wim Naudé integrates Entrepreneurship and Context in his research.
The Artificial intelligence study combines topics in areas such as Endogenous growth theory, Product and Unemployment.
His research integrates issues of Agency, Leverage, Democracy and Social crisis in his study of Development economics.
His biological study spans a wide range of topics, including Economic growth, Female entrepreneurs, Women entrepreneurs and Normative.
His study in Industrialisation is interdisciplinary in nature, drawing from both Trade facilitation, Corporate governance and Economy.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
