Daniel Susskind
Impact in
- Health Informatics top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Economic Growth and Productivity 1
- Economic theories and models 1
- Economic Theory and Institutions 1
- Co-authors
- Richard Susskind (2 shared papers)David Vines (3 shared papers)Gordon C. Brown (1 shared paper)David Bholat (1 shared paper)Samuel Wills (1 shared paper)
- Journals
- Oxford Review of Economic Policy (5 papers)Journal of Nursing Regulation (1 paper)Economics bulletin (1 paper)Oxford University Press eBooks (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel Susskind
9 papers receiving 693 citations
Daniel Susskind's Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 24
- Modeling and Simulation 51
- Public Administration 31
- Law 70
- Safety Research 58
Countries citing papers authored by Daniel Susskind
This map shows the geographic impact of Daniel Susskind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Susskind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Susskind more than expected).
Fields of papers citing papers by Daniel Susskind
This network shows the impact of papers produced by Daniel Susskind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Susskind. The network helps show where Daniel Susskind may publish in the future.
Co-authors
The 5 scholars most cited alongside Daniel Susskind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Future of the Professions Hit paper breakdown → | 2015 | 375 |
| 2 | 2017 | 146 | |
| 3 | 2020 | 94 | |
| 4 | A World Without Work: Technology, Automation and How We Should Respond | 2020 | 40 |
| 5 | 2020 | 39 | |
| 6 | 2020 | 26 | |
| 7 | 2021 | 14 | |
| 8 | 2024 | 4 | |
| 9 | Re-thinking the capabilities of technology in economics | 2019 | 3 |
| 10 | 2021 | 0 |
About Daniel Susskind
Daniel Susskind is a scholar working on Economics and Econometrics, Political Science and International Relations, Modeling and Simulation, Infectious Diseases and General Health Professions, having authored 10 papers that have together received 741 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Innovation Diffusion and Forecasting (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Economic Growth and Productivity (1 paper), Economic theories and models (1 paper), Economic Theory and Institutions (1 paper) and Employment and Welfare Studies (1 paper). The work is most often cited by research in Health Informatics (24 citations), Modeling and Simulation (51 citations), Public Administration (31 citations), Law (70 citations) and Safety Research (58 citations). Daniel Susskind has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Richard Susskind, David Vines, Gordon C. Brown, David Bholat and Samuel Wills. Their work appears in journals such as Oxford Review of Economic Policy, Journal of Nursing Regulation, Economics bulletin and Oxford University Press eBooks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.