King‐Tim Ko

1.2k citations
80 papers · 869 · h-index 16

Impact in

Papers in

King‐Tim Ko

73 papers receiving 810 citations

Peers

King‐Tim Ko
Comparison fields: 5 of 65
  • Computer Networks and Communications 703
  • Management Information Systems 174
  • Electrical and Electronic Engineering 432
  • Statistical and Nonlinear Physics 61
  • Computational Theory and Mathematics 37
Replace Yuji Oie with:
Yuji Oie Japan
Zhiguang Xu United States
Pasi E. Lassila Finland
Sridhar J. K. Rao United States
S. Anand India
Yong Huat Chew Singapore
Matthias Wellens Germany
Omer H. Abdelrahman United Kingdom
Richard G. Clegg United Kingdom
King‐Tim Ko relative to Yuji Oie Japan Yuji Oie's profile →
Citations per field
00.5×2×3×4.3×
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Citations per year

Countries citing papers authored by King‐Tim Ko

Since Specialization
Citations

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

Fields of papers citing papers by King‐Tim Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King‐Tim Ko. 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 King‐Tim Ko. The network helps show where King‐Tim Ko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003104
2 200466
3 200855
4 199749
5 200436
6 201529
7 201427
8 200427
9 201426
10 200126
11 200622
12 198421
13 201120
14 200520
15 201119
16 200218
17 200516
18 199814
19 201014
20 200814

About King‐Tim Ko

King‐Tim Ko is a scholar working on Computer Networks and Communications, Management Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 80 papers that have together received 869 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (29 papers), Advanced Wireless Network Optimization (28 papers), Wireless Communication Networks Research (26 papers), Advanced Queuing Theory Analysis (18 papers), Advanced Optical Network Technologies (13 papers), Wireless Networks and Protocols (8 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (703 citations), Management Information Systems (174 citations), Electrical and Electronic Engineering (432 citations), Statistical and Nonlinear Physics (61 citations) and Computational Theory and Mathematics (37 citations). King‐Tim Ko has collaborated with scholars based in Hong Kong, Australia and China. Frequent co-authors include Sammy Chan, Guanrong Chen, Moshe Zukerman, Jinsheng Sun, Eric W. M. Wong, K.F. Man, Villy B. Iversen, Kim Fung Tsang, K.S. Tang and Bruce R. Davis. Their work appears in journals such as Electronics Letters, IEEE Communications Letters, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology and IEEE Journal on Selected Areas in Communications.

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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