Sangman Kim

713 citations
21 papers · 516 indexed · h-index 9

Sangman Kim

20 papers receiving 488 citations

Peers

Sangman Kim
Comparison fields: 5 of 53
  • Hardware and Architecture 149
  • Signal Processing 221
  • Artificial Intelligence 371
  • Information Systems 244
  • Computer Networks and Communications 227
Replace Shaza Zeitouni with:
Shaza Zeitouni Germany
Raphael Spreitzer Austria
Tommaso Frassetto Germany
Jeffrey Dwoskin United States
David Kohlbrenner United States
Clémentine Maurice France
Marina Minkin United States
Onur Acıiçmez United States
Vishwath Mohan United States
Daniel Moghimi United States
Sangman Kim relative to Shaza Zeitouni Germany Shaza Zeitouni's profile →
Citations per field
00.5×10×15×17.8×
Shaza Zeitouni · 1×
Citations per year

Countries citing papers authored by Sangman Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangman Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Sangman Kim, 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 Sangman Kim Line = papers co-authored together Sangman Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201817
2 20184
3 201729
4 201625
5 201463
6 20140
7 201413
8 201324
9 2013163
10 20136
11 20131
12 20137
13
Eternal Sunshine of the Spotless Machine: Protecting Privacy with Ephemeral Channels.
201247
14 20115
15 20118
16 201193
17
Implementation and evaluation of a mobile planetlab node
20091
18
Implementation and Evaluation of a Mobile Wireless PlanetLab Node
20091
19 20091
20
CASFI Data Sharing Platform
20091

About Sangman Kim

Sangman Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 21 papers that have together received 516 indexed citations. Recurring topics across this work include Security and Verification in Computing (8 papers), Cloud Data Security Solutions (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Malware Detection Techniques (5 papers), Distributed systems and fault tolerance (4 papers), Wireless Networks and Protocols (3 papers), Advanced MEMS and NEMS Technologies (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Hardware and Architecture (149 citations), Signal Processing (221 citations) and Artificial Intelligence (371 citations). Sangman Kim has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Emmett Witchel, Alan M. Dunn, Owen S. Hofmann, Michael Z. Lee, Indrajit Roy, Mark Silberstein, Xinya Zhang, Vitaly Shmatikov, Suman Jana and Yuanzhong Xu. Their work appears in journals such as IEEE Access, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.

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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