M. Rizon

1.3k citations
43 papers · 851 · h-index 14

Impact in

Papers in

M. Rizon

40 papers receiving 760 citations

Peers

M. Rizon
Comparison fields: 5 of 96
  • Human-Computer Interaction 135
  • Computer Vision and Pattern Recognition 359
  • Experimental and Cognitive Psychology 200
  • Signal Processing 159
  • Cognitive Neuroscience 241
Replace Bappaditya Mandal with:
Bappaditya Mandal Singapore
Minoru Fukumi Japan
Yaman Akbulut Türkiye
Tohid Yousefi Rezaii Iran
Mohamed A. Bencherif Saudi Arabia
Xiaofen Xing China
Kwang-Eun Ko South Korea
Chee‐Ming Ting Malaysia
Emmanuel Dellandréa France
M. Rizon relative to Bappaditya Mandal Singapore Bappaditya Mandal's profile →
Citations per field
00.5×1.5×2.3×
Bappaditya Mandal · 1×
Citations per year

Countries citing papers authored by M. Rizon

Since Specialization
Citations

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

Fields of papers citing papers by M. Rizon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EEG feature extraction for classifying emotions using FCM and FKM
2008106
2 2005102
3
Classification of Human Emotions from EEG Signals using Statistical Features and Neural Network
200988
4 200269
5 200268
6 200658
7 200840
8 200540
9 200637
10 200635
11
Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
200824
12 201421
13 200218
14 201513
15 201513
16 201312
17 200912
18 200710
19 20079
20 20159

About M. Rizon

M. Rizon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 43 papers that have together received 851 indexed citations. Recurring topics across this work include Face and Expression Recognition (16 papers), Face recognition and analysis (10 papers), Biometric Identification and Security (10 papers), Image and Object Detection Techniques (8 papers), EEG and Brain-Computer Interfaces (6 papers), Smart Agriculture and AI (5 papers), Emotion and Mood Recognition (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Human-Computer Interaction (135 citations), Computer Vision and Pattern Recognition (359 citations), Experimental and Cognitive Psychology (200 citations), Signal Processing (159 citations) and Cognitive Neuroscience (241 citations). M. Rizon has collaborated with scholars based in Malaysia, Saudi Arabia and Japan. Frequent co-authors include Sazali Yaacob, Tsuyoshi Kawaguchi, R. Nagarajan, M. Murugappan, Puteh Saad, Tong-Yuen Chai, Haniza Yazid, Abdul Rahman Mohd Saad, Ali Yeon Md Shakaff and Masanori Sugisaka. Their work appears in journals such as American Journal of Applied Sciences, Pattern Recognition, NDT & E International, Journal of Image and Graphics and Research Journal of Applied Sciences Engineering and Technology.

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.

Explore authors with similar magnitude of impact