Daniel Susskind

1.6k total citations · 1 hit paper
10 papers, 741 citations indexed

About

Daniel Susskind is a scholar working on Economics and Econometrics, Political Science and International Relations and Modeling and Simulation. According to data from OpenAlex, Daniel Susskind has authored 10 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Economics and Econometrics, 2 papers in Political Science and International Relations and 2 papers in Modeling and Simulation. Recurrent topics in Daniel Susskind's work include COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and World Systems and Global Transformations (1 paper). Daniel Susskind is often cited by papers focused on COVID-19 epidemiological studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and World Systems and Global Transformations (1 paper). Daniel Susskind collaborates with scholars based in United Kingdom, United States and Australia. Daniel Susskind's co-authors include Richard Susskind, David Vines, Gordon C. Brown, David Bholat and Samuel Wills and has published in prestigious journals such as Oxford Review of Economic Policy, Journal of Nursing Regulation and Economics bulletin.

In The Last Decade

Daniel Susskind

9 papers receiving 693 citations

Hit Papers

The Future of the Professions 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Susskind United Kingdom 7 167 162 117 96 83 10 741
Justin B. Bullock United States 11 121 0.7× 397 2.5× 186 1.6× 79 0.8× 69 0.8× 27 1.1k
Cristiano Codagnone Italy 19 157 0.9× 391 2.4× 298 2.5× 154 1.6× 35 0.4× 50 1.1k
Mogens Jin Pedersen Denmark 13 105 0.6× 409 2.5× 125 1.1× 80 0.8× 18 0.2× 38 873
Mirco Tonin Italy 14 319 1.9× 298 1.8× 59 0.5× 97 1.0× 25 0.3× 64 895
Wonhyuk Cho South Korea 16 111 0.7× 251 1.5× 331 2.8× 58 0.6× 21 0.3× 39 835
Sebastian Jilke United States 18 215 1.3× 424 2.6× 347 3.0× 155 1.6× 25 0.3× 60 1.1k
Rik Peeters Mexico 17 121 0.7× 315 1.9× 320 2.7× 139 1.4× 36 0.4× 41 868
Muhammad Saud Indonesia 17 44 0.3× 412 2.5× 66 0.6× 35 0.4× 62 0.7× 91 947
Kirk Bansak United States 11 232 1.4× 802 5.0× 436 3.7× 67 0.7× 43 0.5× 29 1.2k
Sarah Brayne United States 9 47 0.3× 838 5.2× 318 2.7× 204 2.1× 85 1.0× 13 1.2k

Countries citing papers authored by Daniel Susskind

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Susskind

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Susskind. A scholar is included among the top collaborators of Daniel Susskind based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Susskind. Daniel Susskind is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Susskind, Daniel & David Vines. (2024). Global economic order and global economic governance. Oxford Review of Economic Policy. 40(2). 189–219. 4 indexed citations
2.
Bholat, David & Daniel Susskind. (2021). The assessment: artificial intelligence and financial services. Oxford Review of Economic Policy. 37(3). 417–434. 14 indexed citations
3.
Susskind, Daniel. (2021). A World without Work. 73(1). 56–57.
4.
Susskind, Daniel. (2020). A World Without Work: Technology, Automation and How We Should Respond. 40 indexed citations
5.
Brown, Gordon C. & Daniel Susskind. (2020). International cooperation during the COVID-19 pandemic. Oxford Review of Economic Policy. 36(Supplement_1). S64–S76. 39 indexed citations
6.
Susskind, Daniel & David Vines. (2020). The economics of the COVID-19 pandemic: an assessment. Oxford Review of Economic Policy. 36(Supplement_1). S1–S13. 94 indexed citations
7.
Susskind, Daniel, et al.. (2020). A workable strategy for COVID-19 testing: stratified periodic testing rather than universal random testing. Oxford Review of Economic Policy. 36(Supplement_1). S14–S37. 26 indexed citations
8.
Susskind, Daniel. (2019). Re-thinking the capabilities of technology in economics. Economics bulletin. 39(1). 280–288. 3 indexed citations
9.
Susskind, Richard & Daniel Susskind. (2017). The Future of the Professions: How Technology Will Transform the Work of Human Experts. Journal of Nursing Regulation. 8(2). 52–52. 146 indexed citations
10.
Susskind, Richard & Daniel Susskind. (2015). The Future of the Professions. Oxford University Press eBooks. 375 indexed citations breakdown →

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.

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