Daniel Rock

3.7k citations
13 papers · 770 · 2 hit papers · h-index 9

Impact in

Papers in

Daniel Rock

13 papers receiving 725 citations

Daniel Rock's Hit Papers

The Productivity J-Curve: How Intangibles Complement General Purpose Technologies 2020 · 251 citations
2510+2+5Years since publication100200300

Peers

Daniel Rock
Comparison fields: 5 of 98
  • Health Informatics 17
  • Economics and Econometrics 354
  • Management Science and Operations Research 110
  • Strategy and Management 108
  • Management of Technology and Innovation 46
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Citations per field
00.5×5.3×
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Citations per year

Countries citing papers authored by Daniel Rock

Since Specialization
Citations

This map shows the geographic impact of Daniel Rock'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 Rock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rock more than expected).

Fields of papers citing papers by Daniel Rock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Rock. 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 Rock. The network helps show where Daniel Rock may publish in the future.

Co-authors

The 14 scholars most cited alongside Daniel Rock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Rock Line = papers co-authored together Daniel Rock links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
What Can Machines Learn and What Does It Mean for Occupations and the Economy?
Hit paper breakdown →
2018320
2
The Productivity J-Curve: How Intangibles Complement General Purpose Technologies
Hit paper breakdown →
2020251
3 199771
4 201946
5
COVID-19 and Remote Work: An Early Look at US Data
202026
6 201916
7
Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics
201714
8 201910
9
Understanding and Addressing the Modern Productivity Paradox
20209
10
What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
20184
11 20231
12
Identification of Peer Effects in Networked Panel Data
20161
13 20201

About Daniel Rock

Daniel Rock is a scholar working on Economics and Econometrics, Sociology and Political Science, Management Science and Operations Research, Electrical and Electronic Engineering and Infectious Diseases, having authored 13 papers that have together received 770 indexed citations. Recurring topics across this work include Economic Growth and Productivity (5 papers), Firm Innovation and Growth (3 papers), Green IT and Sustainability (2 papers), Digital Economy and Work Transformation (2 papers), Tuberculosis Research and Epidemiology (1 paper), Innovation Policy and R&D (1 paper), COVID-19 epidemiological studies (1 paper) and Migration and Labor Dynamics (1 paper). The work is most often cited by research in Health Informatics (17 citations), Economics and Econometrics (354 citations), Management Science and Operations Research (110 citations), Strategy and Management (108 citations) and Management of Technology and Innovation (46 citations). Daniel Rock has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Erik Brynjolfsson, Tom M. Mitchell, Chad Syverson, Erik Brynjolfsson, Adam Ozimek, John J. Horton, Garima Sharma, Lorin M. Hitt, Seth Benzell and Prasanna Tambe. Their work appears in journals such as American Economic Journal Macroeconomics, Work, AEA Papers and Proceedings, SSRN Electronic Journal and National Bureau of Economic Research.

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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