Soon Seok Lee

489 citations
22 papers · 408 · h-index 7

Impact in

Papers in

Soon Seok Lee

21 papers receiving 381 citations

Peers

Soon Seok Lee
Comparison fields: 5 of 35
  • Management Information Systems 369
  • Management Science and Operations Research 159
  • Safety, Risk, Reliability and Quality 80
  • Emergency Medical Services 29
  • Computer Networks and Communications 104
Replace A. D. Banik with:
A. D. Banik India
Yang Woo Shin South Korea
Manfred Brandt Germany
M. H. van Hoorn Netherlands
Che Soong Kim South Korea
Chesoong Kim South Korea
Martin Eisenberg United States
Pilar Moreno Spain
S. W. Fuhrmann United States
Soon Seok Lee relative to A. D. Banik India A. D. Banik's profile →
Citations per field
00.5×1.5×
A. D. Banik · 1×
Citations per year

Countries citing papers authored by Soon Seok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soon Seok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon Seok Lee. 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 Soon Seok Lee. The network helps show where Soon Seok Lee may publish in the future.

Co-authors

The 15 scholars most cited alongside Soon Seok Lee, 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 Soon Seok Lee Line = papers co-authored together Soon Seok Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994119
2 1995117
3 199467
4 199630
5 199418
6 199217
7 20066
8 19956
9 19965
10 20084
11 20073
12 20132
13 20112
14
Comparison of NGN QoS control models - distributed or centralized
20082
15 20062
16 19912
17 20122
18 20001
19 20071
20 20111

About Soon Seok Lee

Soon Seok Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Management Information Systems, Management Science and Operations Research and Sociology and Political Science, having authored 22 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (10 papers), Probability and Risk Models (7 papers), Advanced Wireless Network Optimization (6 papers), Network Traffic and Congestion Control (6 papers), IPv6, Mobility, Handover, Networks, Security (6 papers), Advanced Optical Network Technologies (4 papers), Caching and Content Delivery (4 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Management Information Systems (369 citations), Management Science and Operations Research (159 citations), Safety, Risk, Reliability and Quality (80 citations), Emergency Medical Services (29 citations) and Computer Networks and Communications (104 citations). Soon Seok Lee has collaborated with scholars based in South Korea, Canada and Norway. Frequent co-authors include Ho Woo Lee, Kyung C. Chae, Seung Hyun Yoon, R. Nadarajan, Sang‐Ha Kim, Jongyoul Park, Heuk Park, Min Young Chung, Ju Yong Lee and Young Sun Kim. Their work appears in journals such as Computers & Operations Research, Journal of Applied Probability, Applied Mathematical Modelling, ETRI Journal and Journal of Communications and Networks.

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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