Doowon Kim

800 citations
33 papers · 470 indexed · h-index 9
Topics
Advanced Malware Detection Techniques (18 papers)Spam and Phishing Detection (11 papers)Internet Traffic Analysis and Secure E-voting (6 papers)

In The Last Decade

Doowon Kim

31 papers receiving 448 citations

Peers

Doowon Kim
Comparison fields: 5 of 47
  • Information Systems 350
  • Signal Processing 260
  • Artificial Intelligence 148
  • Sociology and Political Science 98
  • Computer Networks and Communications 73
Replace Christian Stransky with:
Christian Stransky Germany
Ginger Myles United States
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Tam The Nguyen United States
Thanasis Petsas Greece
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Doowon Kim relative to Christian Stransky Germany Christian Stransky's profile →
Citations per field
00.5×1.5×1.8×
Christian Stransky · 1×
Citations per year

Countries citing papers authored by Doowon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Doowon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doowon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Doowon Kim. A scholar is included among the top collaborators of Doowon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Doowon Kim. Doowon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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3 5
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6 4
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8 5
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10 2
11 7
12 1
13 1
14 1
15 17
16 20
17
The Broken Shield: Measuring Revocation Effectiveness in the Windows Code-Signing PKI
6
18 117
19
Lessons Learned from Using an Online Platform to Conduct Large-Scale, Online Controlled Security Experiments with Software Developers
5
20
An Inconvenient Trust: User Attitudes toward Security and Usability Tradeoffs for Key-Directory Encryption Systems
27

About Doowon Kim

Doowon Kim is a scholar working on Signal Processing, Information Systems and Health Informatics, having authored 33 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (18 papers), Spam and Phishing Detection (11 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). The work is most often cited by research in Signal Processing (260 citations), Information Systems (350 citations) and Software (52 citations). Doowon Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Michelle L. Mazurek, Christian Stransky, Yasemin Acar, Sascha Fahl, Michael Backes, Michael Backes, Simson Garfinkel, Tudor Dumitraş, Yonghwi Kwon and Hyunwoo Lee. Their work appears in journals such as IEEE Access, IEEE Internet Computing and Personal and Ubiquitous Computing.

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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