C.M. Lim

2.2k citations
51 papers · 1.7k · h-index 17

Impact in

Papers in

C.M. Lim

48 papers receiving 1.5k citations

Peers

C.M. Lim
Comparison fields: 5 of 107
  • Ophthalmology 346
  • Cognitive Neuroscience 553
  • Health Information Management 112
  • Signal Processing 270
  • Radiology, Nuclear Medicine and Imaging 500
Replace Lim Choo Min with:
Lim Choo Min Singapore
Kuang Chua Chua Singapore
C. Eswaran Malaysia
Samarendra Dandapat India
Joel E.W. Koh Singapore
Chua Kuang Chua Singapore
S. Vinitha Sree Singapore
Javad Haddadnia Iran
A. G. Ramakrishnan India
Daniel Álvarez Spain
C.M. Lim relative to Lim Choo Min Singapore Lim Choo Min's profile →
Citations per field
00.5×1.5×
Lim Choo Min · 1×
Citations per year

Countries citing papers authored by C.M. Lim

Since Specialization
Citations

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

Fields of papers citing papers by C.M. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.M. Lim. 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 C.M. Lim. The network helps show where C.M. Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside C.M. Lim, 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 C.M. Lim Line = papers co-authored together C.M. Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005221
2 2007210
3 2009159
4 2010135
5 2004130
6 2012127
7 2008114
8 200286
9 199164
10 200659
11 200847
12 200740
13 200828
14 198527
15 198923
16 198921
17 198521
18 199016
19 199614
20 198510

About C.M. Lim

C.M. Lim is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Power System Optimization and Stability (20 papers), Power Systems Fault Detection (8 papers), EEG and Brain-Computer Interfaces (8 papers), Fuzzy Logic and Control Systems (7 papers), Frequency Control in Power Systems (6 papers), HVDC Systems and Fault Protection (6 papers), Neural Networks and Applications (6 papers) and Magnetic confinement fusion research (5 papers). The work is most often cited by research in Ophthalmology (346 citations), Cognitive Neuroscience (553 citations), Health Information Management (112 citations), Signal Processing (270 citations) and Radiology, Nuclear Medicine and Imaging (500 citations). C.M. Lim has collaborated with scholars based in Singapore, Japan and Australia. Frequent co-authors include U. Rajendra Acharya, Vinod Chandran, N. Kannathal, Kuang Chua Chua, P. Subbanna Bhat, Takashi Hiyama, E. Y. K. Ng, Jagadish Nayak, S. Elangovan and T. Tamura. Their work appears in journals such as Mechatronics, Electric Power Systems Research, Journal of Medical Systems, Computers in Industry and Computers & Education.

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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