Sangman Kim
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Co-authors
- Emmett WitchelAlan M. DunnOwen S. HofmannMichael Z. LeeIndrajit RoyMark SilbersteinXinya ZhangVitaly Shmatikov
- Topics
- Security and Verification in Computing (8 papers)Cloud Data Security Solutions (6 papers)Parallel Computing and Optimization Techniques (5 papers)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Sangman Kim
20 papers receiving 488 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 371
- Information Systems 244
- Computer Networks and Communications 227
- Signal Processing 221
- Hardware and Architecture 149
Countries citing papers authored by Sangman Kim
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
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 of co-authors of Sangman Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sangman Kim. A scholar is included among the top collaborators of Sangman 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 Sangman Kim. Sangman Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 29 | |
| 4 | 25 | |
| 5 | 63 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 24 | |
| 9 | 163 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | Eternal Sunshine of the Spotless Machine: Protecting Privacy with Ephemeral Channels. | 47 |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 93 | |
| 17 | Implementation and evaluation of a mobile planetlab node | 1 |
| 18 | Implementation and Evaluation of a Mobile Wireless PlanetLab Node | 1 |
| 19 | 1 | |
| 20 | CASFI Data Sharing Platform | 1 |
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) and Parallel Computing and Optimization Techniques (5 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.