Daniel Castro

87 papers receiving 461 citations

Peers

Daniel Castro
Comparison fields: 5 of 95
  • Medical Terminology 4
  • Media Technology 95
  • Information Systems and Management 51
  • Marketing 58
  • Health Informatics 8
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Carolin Geyer Switzerland
Bronwyn Howell New Zealand
Piotr Soja Poland
Luke Houghton Australia
Josivânia Silva Farias Brazil
Nuria Chaparro‐Banegas Spain
Alaa A. Qaffas Saudi Arabia
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Mansour Naser Alraja Oman
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Countries citing papers authored by Daniel Castro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 200847
3 200933
4 200924
5 201821
6
Who Is Winning the AI Race: China, the EU or the United States?
201921
7
Benefits and Limitations of Industry Self-Regulation for Online Behavioral Advertising
201116
8 200714
9 202312
10 202112
11 200911
12
How National Governments Can Help Smart Cities Succeed
201711
13
How Is the Federal Government Using the Internet of Things
201611
14
How Much Will PRISM Cost the U.S. Cloud Computing Industry
201311
15
Ten Ways the Precautionary Principle Undermines Progress in Artificial Intelligence
201911
16
Open Data in the G8: A Review of Progress on the Open Data Charter
201510
17
Steal These Policies: Strategies for Reducing Digital Piracy
20099
18
Who Is Winning the AI Race: China, the EU, or the United States? — 2021 Update
20219
19 20088
20
Cybersecurity: Public Sector Threats and Responses
20128

About Daniel Castro

Daniel Castro is a scholar working on Sociology and Political Science, Political Science and International Relations, Law, Economics and Econometrics and Artificial Intelligence, having authored 116 papers that have together received 545 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (8 papers), ICT Impact and Policies (6 papers), Digital Platforms and Economics (5 papers), Cybersecurity and Cyber Warfare Studies (4 papers), Taxation and Compliance Studies (4 papers), Law, AI, and Intellectual Property (4 papers), Legal Systems and Judicial Processes (4 papers) and Digitalization, Law, and Regulation (4 papers). The work is most often cited by research in Medical Terminology (4 citations), Media Technology (95 citations), Information Systems and Management (51 citations), Marketing (58 citations) and Health Informatics (8 citations). Daniel Castro has collaborated with scholars based in United States, Brazil and Ecuador. Frequent co-authors include Robert D. Atkinson, Stephen J. Ezell, Mike J. McLaughlin, Joshua New, George Ou, David L. Dill, Marisol Wong-Villacrés, Amy Bruckman, Michaelanne Dye and Rosa I. Arriaga. Their work appears in journals such as Acta Paulista de Enfermagem, IEEE Internet Computing, Bulletin for international taxation, BMC Medical Education and The Journal of Military History.

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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