Dzulkifli Mohamad

1.4k total citations
79 papers, 939 citations indexed

About

Dzulkifli Mohamad is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Dzulkifli Mohamad has authored 79 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 20 papers in Media Technology and 14 papers in Signal Processing. Recurrent topics in Dzulkifli Mohamad's work include Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (17 papers) and Image Processing and 3D Reconstruction (15 papers). Dzulkifli Mohamad is often cited by papers focused on Handwritten Text Recognition Techniques (25 papers), Image Retrieval and Classification Techniques (17 papers) and Image Processing and 3D Reconstruction (15 papers). Dzulkifli Mohamad collaborates with scholars based in Malaysia, Saudi Arabia and Iraq. Dzulkifli Mohamad's co-authors include Amjad Rehman, Tanzila Saba, Mohammed Hazim Alkawaz, Naveed Abbas, Abdulaziz S. Almazyad, Mznah Al‐Rodhaan, Ahmad Hoirul Basori, Nor Azman Ismail, Abbas Cheddad and Azizah Abd Manaf and has published in prestigious journals such as Pattern Recognition, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Dzulkifli Mohamad

75 papers receiving 833 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dzulkifli Mohamad Malaysia 17 672 249 172 111 100 79 939
Med Salim Bouhlel Tunisia 16 577 0.9× 262 1.1× 85 0.5× 77 0.7× 181 1.8× 178 1.0k
Changsong Liu China 20 918 1.4× 362 1.5× 179 1.0× 120 1.1× 50 0.5× 107 1.3k
L.G. Vuurpijl Netherlands 17 725 1.1× 397 1.6× 161 0.9× 105 0.9× 183 1.8× 58 1.2k
Peiguang Jing China 16 706 1.1× 296 1.2× 109 0.6× 65 0.6× 42 0.4× 92 1.1k
Hatim Aboalsamh Saudi Arabia 20 567 0.8× 300 1.2× 104 0.6× 201 1.8× 73 0.7× 97 1.3k
Florent Monay Switzerland 10 927 1.4× 256 1.0× 174 1.0× 69 0.6× 200 2.0× 14 1.2k
Rodrigo Verschae Chile 15 435 0.6× 191 0.8× 61 0.4× 98 0.9× 48 0.5× 49 915
Chien-Hsing Chou Taiwan 13 459 0.7× 492 2.0× 96 0.6× 95 0.9× 116 1.2× 58 1.1k
Congyan Lang China 16 901 1.3× 392 1.6× 105 0.6× 68 0.6× 32 0.3× 107 1.2k
Junfeng He United States 21 1.8k 2.7× 419 1.7× 300 1.7× 101 0.9× 136 1.4× 33 2.1k

Countries citing papers authored by Dzulkifli Mohamad

Since Specialization
Citations

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

Fields of papers citing papers by Dzulkifli Mohamad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dzulkifli Mohamad

This figure shows the co-authorship network connecting the top 25 collaborators of Dzulkifli Mohamad. A scholar is included among the top collaborators of Dzulkifli Mohamad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dzulkifli Mohamad. Dzulkifli Mohamad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mohamad, Dzulkifli, et al.. (2017). A Novel Fused Image Compression Technique Using DFT, DWT, and DCT.. J. Inf. Hiding Multim. Signal Process.. 8. 261–271. 4 indexed citations
2.
Hashim, Siti Zaiton Mohd, et al.. (2017). Pixel distribution-based features for offline Arabic handwritten word recognition. International Journal of Computational Vision and Robotics. 7(1/2). 99–99. 6 indexed citations
3.
Alkawaz, Mohammed Hazim, Dzulkifli Mohamad, Ahmad Hoirul Basori, & Farhan Mohamed. (2015). A Crucial Investigation of Facial Skin Colour Research Trend and Direction. International Journal of Multimedia and Ubiquitous Engineering. 10(1). 295–316. 2 indexed citations
4.
Abbas, Naveed, et al.. (2015). Report: Nuclei segmentation of leukocytes in blood smear digital images.. PubMed. 28(5). 1801–6. 17 indexed citations
5.
Abbas, Naveed & Dzulkifli Mohamad. (2014). Automatic Color Nuclei Segmentation of Leukocytes for Acute Leukemia. Research Journal of Applied Sciences Engineering and Technology. 7(14). 2987–2993. 10 indexed citations
6.
Mohamad, Dzulkifli, et al.. (2014). An Efficient Parameters Selection for Object Recognition Based Colour Features in Traffic Image Retrieval. The International Arab Journal of Information Technology. 11(3). 308–314. 2 indexed citations
7.
Abbas, Naveed & Dzulkifli Mohamad. (2013). Microscopic rgb color images enhancement for blood cells segmentation in ycbcr color space for k-means clustering. Journal of Theoretical and Applied Information Technology. 55(1). 117–125. 14 indexed citations
8.
Mohamad, Dzulkifli, et al.. (2013). Image Compression Using Discrete Cosine Transform and Discrete Wavelet Transform. Journals & Books Hosting (International Knowledge Sharing Platform). 3(11). 54–58. 8 indexed citations
9.
Suaib, Norhaida Mohd, Abdullah Bade, & Dzulkifli Mohamad. (2013). Hybrid Collision Culling by Bounding Volumes Manipulation in Massive Rigid Body Simulation. TELKOMNIKA Indonesian Journal of Electrical Engineering. 11(6). 3 indexed citations
10.
Rahim, Mohd Shafry Mohd, et al.. (2011). Region-based touched character segmentation in handwritten words. International journal of innovative computing, information & control. 7(6). 3107–3120. 16 indexed citations
11.
Mohamad, Dzulkifli, et al.. (2011). Malay isolated speech recognition using neural network: a work in finding number of hidden nodes and learning parameters. The International Arab Journal of Information Technology. 8(4). 364–371. 15 indexed citations
12.
Harouni, Majid, et al.. (2010). Deductive method for recognition of on-line handwritten Persian/Arabic characters. 791–795. 14 indexed citations
13.
Rehman, Amjad, et al.. (2009). Contour vs Non-Contour based Word Segmentation from Handwritten Text Lines: an Experimental Analysis. International Journal of Digital Content Technology and its Applications. 3. 127–131. 12 indexed citations
14.
Rehman, Amjad, et al.. (2009). From contours to characters segmentation of cursive handwritten words with neural assistance. swa 8. 1–4. 4 indexed citations
15.
Mohamad, Dzulkifli, et al.. (2009). A Review on Fingerprint Classification Techniques. 411–415. 11 indexed citations
16.
Suaib, Norhaida Mohd, Abdullah Bade, Dzulkifli Mohamad, & Hamzah Asyrani Sulaiman. (2009). On Faster Bounding Volume Hierarchy Construction for Avatar Collision Detection. 32. 430–434. 1 indexed citations
17.
Mohamad, Dzulkifli, et al.. (2007). A summary of literature review: face recognition. 8 indexed citations
18.
Mohamad, Dzulkifli, et al.. (2006). Writer Independent Online Handwritten Character Recognition Using a Simple Approach. Information Technology Journal. 5(3). 476–484. 7 indexed citations
20.
Mohamad, Dzulkifli, et al.. (2002). Size, Scale and Rotation Invariant Proposed Feature vectors for Trademark Recognition. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1422–1425.

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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