Ali Chekima

1.1k citations
86 papers · 804 · h-index 15

Impact in

Papers in

Ali Chekima

82 papers receiving 699 citations

Peers

Ali Chekima
Comparison fields: 5 of 99
  • Signal Processing 232
  • Computer Vision and Pattern Recognition 324
  • Human-Computer Interaction 80
  • Information Systems 159
  • Computer Networks and Communications 147
Replace Jamal Ahmad Dargham with:
Jamal Ahmad Dargham Malaysia
Lamiaa A. Elrefaei Egypt
Kil-Houm Park South Korea
Dushyant Kumar Singh India
A.K. Majumdar India
Yufei Chen China
Abdulhameed Alelaiwi Saudi Arabia
Tawfik Al-Hadhrami United Kingdom
Deepak Ghimire South Korea
Yong Haur Tay Malaysia
Ali Chekima relative to Jamal Ahmad Dargham Malaysia Jamal Ahmad Dargham's profile →
Citations per field
00.5×1.5×2.4×
Jamal Ahmad Dargham · 1×
Citations per year

Countries citing papers authored by Ali Chekima

Since Specialization
Citations

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

Fields of papers citing papers by Ali Chekima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 200389
3 201042
4 201028
5 200726
6 200825
7
Gait Recognition using Gait Energy Image
201121
8 200821
9
Palmprint Based Biometric System: A Comparative Study on Discrete Cosine Transform Energy, Wavelet Transform Energy and SobelCode Methods
200920
10 200616
11 202015
12 201915
13 201715
14 198415
15 200615
16 200914
17 202313
18 200313
19 201113
20 201612

About Ali Chekima

Ali Chekima is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 86 papers that have together received 804 indexed citations. Recurring topics across this work include Biometric Identification and Security (16 papers), Face and Expression Recognition (14 papers), Face recognition and analysis (14 papers), Spectroscopy and Chemometric Analyses (10 papers), Human Pose and Action Recognition (8 papers), Smart Agriculture and AI (8 papers), IPv6, Mobility, Handover, Networks, Security (6 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Signal Processing (232 citations), Computer Vision and Pattern Recognition (324 citations), Human-Computer Interaction (80 citations), Information Systems (159 citations) and Computer Networks and Communications (147 citations). Ali Chekima has collaborated with scholars based in Malaysia, Japan and Pakistan. Frequent co-authors include Jamal Ahmad Dargham, G. Sainarayanan, Hoe Tung Yew, Farrah Wong, Sigeru Omatu, Ervin Gubin Moung, William A. Pearlman, Jason Teo, Edward K. Wong and Muralindran Mariappan. Their work appears in journals such as Internet of things, IEEE Wireless Communications Letters, IEEE Access, Electronics and IEEE Transactions on Information Theory.

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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