Robert Seamans

73 papers receiving 2.2k citations

Robert Seamans's Hit Papers

How will Language Modelers like ChatGPT Affect Occupations and Industries? 2023 · 89 citations
890+2+5Years since publication50100150200250

Peers

Robert Seamans
Comparison fields: 5 of 115
  • Marketing 452
  • Health Informatics 58
  • Strategy and Management 592
  • Management of Technology and Innovation 218
  • Economics and Econometrics 780
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Countries citing papers authored by Robert Seamans

Since Specialization
Citations

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

Fields of papers citing papers by Robert Seamans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Seamans, 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 Robert Seamans Line = papers co-authored together Robert Seamans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013291
2
AI and the Economy
Hit paper breakdown →
2018268
3
Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses
Hit paper breakdown →
2021173
4 2018112
5 2012107
6 2019105
7 201691
8
How will Language Modelers like ChatGPT Affect Occupations and Industries?
Hit paper breakdown →
202389
9 201877
10 201777
11 201167
12 202359
13 201756
14 201652
15 202349
16 202244
17 202143
18 202242
19 202137
20 201137

About Robert Seamans

Robert Seamans is a scholar working on Economics and Econometrics, Strategy and Management, Marketing, Accounting and Sociology and Political Science, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Digital Platforms and Economics (15 papers), Firm Innovation and Growth (11 papers), Consumer Market Behavior and Pricing (11 papers), Corporate Finance and Governance (8 papers), ICT Impact and Policies (7 papers), Banking stability, regulation, efficiency (6 papers), Entrepreneurship Studies and Influences (6 papers) and Digital Economy and Work Transformation (6 papers). The work is most often cited by research in Marketing (452 citations), Health Informatics (58 citations), Strategy and Management (592 citations), Management of Technology and Innovation (218 citations) and Economics and Econometrics (780 citations). Robert Seamans has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Manav Raj, Feng Zhu, Edward W. Felten, Jason Furman, Aaron Chatterji, Anindya Ghose, Jason Chan, Yongwook Paik, William D. Bradford and Timothy Bates. Their work appears in journals such as Strategic Management Journal, Management Science, Small Business Economics, Research Policy and Strategy Science.

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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