Norrima Mokhtar

1.3k citations
81 papers · 945 indexed · 1 hit paper · h-index 14

Norrima Mokhtar

70 papers receiving 913 citations

Hit Papers

Structural crack detection using deep convolutional neura...246202120262022202450100150200

Peers

Norrima Mokhtar
Comparison fields: 5 of 115
  • Human-Computer Interaction 78
  • Civil and Structural Engineering 281
  • Cognitive Neuroscience 186
  • Industrial and Manufacturing Engineering 88
  • Signal Processing 90
Replace Cataldo Guaragnella with:
Cataldo Guaragnella Italy
Chuanfei Hu China
Ting Zhao China
Liangjun Zhang China
Zhiquan He China
Zhongbo Sun China
Abe Davis United States
Zheng Guan China
He Wang China
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Citations per field
00.5×5.3×
Cataldo Guaragnella · 1×
Citations per year

Countries citing papers authored by Norrima Mokhtar

Since Specialization
Citations

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

Fields of papers citing papers by Norrima Mokhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20248
4 20243
5 20240
6 20241
7 20230
8 20231
9 20230
10 20222
11 201812
12
Statistical Feature Extraction Method for Wood Species Recognition System
20162
13 201632
14
AN IMPROVED DEFECT CLASSIFICATION ALGORITHM FOR SIX PRINTING DEFECTS AND ITS IMPLEMENTATION ON REAL PRINTED CIRCUIT BOARD IMAGES
20124
15
DNA sequence design for DNA computation based on binary particle swarm optimization
20129
16
A DNA Sequence Design for DNA Computation Based on Binary Vector Evaluated Particle Swarm Optimization
201212
17 20111
18 20112
19 20103
20 20101

About Norrima Mokhtar

Norrima Mokhtar is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing, having authored 81 papers that have together received 945 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Advanced Fiber Laser Technologies (9 papers), Blind Source Separation Techniques (8 papers), Wood and Agarwood Research (8 papers), Industrial Vision Systems and Defect Detection (8 papers), Photonic Crystal and Fiber Optics (8 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Remote Sensing and LiDAR Applications (5 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Civil and Structural Engineering (281 citations) and Cognitive Neuroscience (186 citations). Norrima Mokhtar has collaborated with scholars based in Malaysia, Japan and Indonesia. Frequent co-authors include Mohamad Sofian Abu Talip, Ali Raza, Muhammad Shoaib, Joon Huang Chuah, Hamzah Arof, Masahiro Iwahashi, Paul Cumming, Marizan Mubin, Zuwairie Ibrahim and Anis Salwa Mohd Khairuddin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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