Jon Truby

35 papers receiving 1.0k citations

Jon Truby's Hit Papers

Governing Artificial Intelligence to benefit the UN Sustainable Development Goals 2020 · 188 citations
1880+2+5Years since publication100200300

Peers

Jon Truby
Comparison fields: 5 of 88
  • Management Information Systems 234
  • Health Informatics 33
  • Information Systems 479
  • Safety Research 103
  • Economics and Econometrics 267
Replace Onyeka Chrisanctus Ofodile with:
Onyeka Chrisanctus Ofodile Nigeria
Mahani Hamdan Brunei
Leonardo Corbo Italy
Željko Tekić Russia
Naomi Haefner Switzerland
Tay Keong Tan United States
Margaret A. Goralski United States
CLAUDIA APARECIDA MATTOS Brazil
David Botchie United Kingdom
Mitra Madanchian Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jon Truby

Since Specialization
Citations

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

Fields of papers citing papers by Jon Truby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Jon Truby, 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 Jon Truby Line = papers co-authored together Jon Truby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decarbonizing Bitcoin: Law and policy choices for reducing the energy consumption of Blockchain technologies and digital currencies
Hit paper breakdown →
2018338
2
Governing Artificial Intelligence to benefit the UN Sustainable Development Goals
Hit paper breakdown →
2020188
3 2020128
4 2022127
5 202167
6 202027
7 201824
8 202222
9 202021
10 202120
11 202319
12 201517
13 201612
14 20229
15 20238
16 20197
17 20227
18 20235
19 20185
20 20224

About Jon Truby

Jon Truby is a scholar working on Accounting, Management Information Systems, General Economics, Econometrics and Finance, Law and Renewable Energy, Sustainability and the Environment, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include FinTech, Crowdfunding, Digital Finance (8 papers), Blockchain Technology Applications and Security (7 papers), Energy, Environment, and Transportation Policies (6 papers), Islamic Finance and Banking Studies (4 papers), Ethics and Social Impacts of AI (4 papers), Corporate Taxation and Avoidance (3 papers), Digital Transformation in Law (3 papers) and EU Law and Policy Analysis (3 papers). The work is most often cited by research in Management Information Systems (234 citations), Health Informatics (33 citations), Information Systems (479 citations), Safety Research (103 citations) and Economics and Econometrics (267 citations). Jon Truby has collaborated with scholars based in Qatar, Netherlands and United Kingdom. Frequent co-authors include Rafael Dean Brown, Andrew Mazen Dahdal, Imad Antoine Ibrahim, Esmat Zaidan and Thomas Hoppe. Their work appears in journals such as Technology in Society, Energy Research & Social Science, International Review of Law Computers & Technology, European Journal of Risk Regulation and Law Innovation and Technology.

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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