Haksoo Ko

18 papers receiving 304 citations

Haksoo Ko's Hit Papers

Information Technology–Based Tracing Strategy in Response to COVID-19 in South Korea—Privacy Controversies 2020 · 240 citations
2400+2+4Years since publication50100150200

Peers

Haksoo Ko
Comparison fields: 5 of 69
  • Modeling and Simulation 68
  • Health Informatics 11
  • Information Systems 118
  • Health Information Management 9
  • Sociology and Political Science 82
Replace Joanna Sleigh with:
Joanna Sleigh Switzerland
James Scheibner Australia
Essa Alhazmi Saudi Arabia
Lisa Parker Australia
Bingqian Jiang China
Marwah Hassounah Saudi Arabia
Sameh N. Saleh United States
Anis Fuad Indonesia
Frederic Gerdon Germany
Kathleen Liddell United Kingdom
Haksoo Ko relative to Joanna Sleigh Switzerland Joanna Sleigh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haksoo Ko

Since Specialization
Citations

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

Fields of papers citing papers by Haksoo Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Haksoo Ko, 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 Haksoo Ko Line = papers co-authored together Haksoo Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Information Technology–Based Tracing Strategy in Response to COVID-19 in South Korea—Privacy Controversies
Hit paper breakdown →
2020240
2 201718
3 202115
4 201914
5 20205
6 20074
7 20074
8 20203
9 20203
10 19933
11 20103
12 20193
13
Cultural Values and the Korean Negotiator
20102
14 20251
15 20121
16 20111
17 20171
18 20191
19 20121
20 20090

About Haksoo Ko

Haksoo Ko is a scholar working on Economics and Econometrics, Political Science and International Relations, Sociology and Political Science, Accounting and Strategy and Management, having authored 21 papers that have together received 323 indexed citations. Recurring topics across this work include Law, Economics, and Judicial Systems (5 papers), Privacy, Security, and Data Protection (5 papers), Artificial Intelligence in Law (2 papers), COVID-19 Digital Contact Tracing (2 papers), Risk Management in Financial Firms (2 papers), Corporate Insolvency and Governance (2 papers), European Criminal Justice and Data Protection (2 papers) and Criminal Law and Evidence (2 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Health Informatics (11 citations), Information Systems (118 citations), Health Information Management (9 citations) and Sociology and Political Science (82 citations). Haksoo Ko has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Gina Choi, Mijeong Park, Dohyun Park, H. Hepp, Narae Lee, Khaled El Emam, Eun‐Soo Kim and Lisa Pilgram. Their work appears in journals such as npj Digital Medicine, European Journal of Law and Economics, International Data Privacy Law, IEEE Security & Privacy and JAMA.

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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