Albert Kwon

2.3k citations
31 papers · 1.5k · h-index 17

Impact in

Papers in

Albert Kwon

31 papers receiving 1.4k citations

Peers

Albert Kwon
Comparison fields: 5 of 112
  • Artificial Intelligence 707
  • Computer Networks and Communications 336
  • Hardware and Architecture 95
  • Signal Processing 151
  • Information Systems 228
Replace Yu‐Chi Chen with:
Yu‐Chi Chen Taiwan
Hanyi Zhang China
Shunsuke Tomita Japan
Junghyun Nam South Korea
Toshiyuki Maeda Japan
Mukesh Agrawal United States
Meng-Lin Yu United States
Yih‐Loong Lai Taiwan
Jiaxin Jiang China
Changwang Zhang China
Albert Kwon relative to Yu‐Chi Chen Taiwan Yu‐Chi Chen's profile →
Citations per field
00.5×7.3×
Yu‐Chi Chen · 1×
Citations per year

Countries citing papers authored by Albert Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Albert Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013222
2 2005160
3 2019155
4 2009130
5 2014119
6
Constants Count: Practical Improvements to Oblivious RAM
201484
7 201380
8 201876
9
Circuit fingerprinting attacks: passive deanonymization of tor hidden services
201572
10 201563
11 201555
12 201747
13 201537
14 201531
15 200629
16 201826
17 201722
18 201513
19
Var-CNN and DynaFlow: Improved Attacks and Defenses for Website Fingerprinting.
201811
20 201210

About Albert Kwon

Albert Kwon is a scholar working on Artificial Intelligence, Computer Networks and Communications, Physiology, Surgery and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Security and Verification in Computing (5 papers), Pain Mechanisms and Treatments (4 papers), Advanced Data Storage Technologies (4 papers), Complexity and Algorithms in Graphs (4 papers) and Pain Management and Opioid Use (3 papers). The work is most often cited by research in Artificial Intelligence (707 citations), Computer Networks and Communications (336 citations), Hardware and Architecture (95 citations), Signal Processing (151 citations) and Information Systems (228 citations). Albert Kwon has collaborated with scholars based in United States, Qatar and Austria. Frequent co-authors include Srinivas Devadas, Daniel S. Kohane, David Lu, Róbert Langer, Christopher W. Fletcher, Marten van Dijk, Sahadev Shankarappa, Ling Ren, Michinao Hashimoto and Alina Y. Rwei. Their work appears in journals such as Anesthesiology Clinics, ACM SIGPLAN Notices, Nano Letters, Journal of Clinical Anesthesia and Pain.

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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