Sang Kyun

767 total citations
12 papers, 494 citations indexed

About

Sang Kyun is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Sang Kyun has authored 12 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 4 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Sang Kyun's work include Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (6 papers) and Advanced Database Systems and Queries (6 papers). Sang Kyun is often cited by papers focused on Distributed systems and fault tolerance (7 papers), Advanced Data Storage Technologies (6 papers) and Advanced Database Systems and Queries (6 papers). Sang Kyun collaborates with scholars based in South Korea, Germany and United States. Sang Kyun's co-authors include Wolfgang Lehner, Franz Färber, Christof Bornhövd, Vishal Sikka, Umeshwar Dayal, Kyu-Young Whang, Young‐Kuk Kim, David Lomet, Guy M. Lohman and Martin Kersten and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and The VLDB Journal.

In The Last Decade

Sang Kyun

10 papers receiving 442 citations

Peers

Sang Kyun
Comparison fields: 5 of 40
  • Computer Networks and Communications 414
  • Information Systems 212
  • Signal Processing 124
  • Artificial Intelligence 85
  • Hardware and Architecture 66
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Citations per field, relative to Sang Kyun
Sang Kyun · 1×
Citations per year, relative to Sang Kyun
Sang Kyun · 1×

Countries citing papers authored by Sang Kyun

Since Specialization
Citations

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

Fields of papers citing papers by Sang Kyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Kyun

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Kyun. A scholar is included among the top collaborators of Sang Kyun 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 Sang Kyun. Sang Kyun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 5
3 21
4 252
5 129
6
Analysis of Two Existing and One New Dynamic Programming Algorithm for the Generation of Optimal Bushy Join Trees without Cross Products
56
7
IO-Top-k: Index-Access Optimized Top-k Query Processing
18
8 0
9 3
10 7
11
Kaleidoscope: a model-based grammar-driven menu interface for databases
1
12
Kaleidoscope Data Model for An English-like Query Language
2

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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2026