Anuar Mikdad Muad

460 total citations
27 papers, 359 citations indexed

About

Anuar Mikdad Muad is a scholar working on Computer Vision and Pattern Recognition, Ecology and Media Technology. According to data from OpenAlex, Anuar Mikdad Muad has authored 27 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Ecology and 8 papers in Media Technology. Recurrent topics in Anuar Mikdad Muad's work include Remote Sensing in Agriculture (8 papers), Advanced Image Fusion Techniques (7 papers) and Forensic Anthropology and Bioarchaeology Studies (5 papers). Anuar Mikdad Muad is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Advanced Image Fusion Techniques (7 papers) and Forensic Anthropology and Bioarchaeology Studies (5 papers). Anuar Mikdad Muad collaborates with scholars based in Malaysia, United Kingdom and Taiwan. Anuar Mikdad Muad's co-authors include Giles M. Foody, Yuan-Fong Su, Ke‐Sheng Cheng, Aini Hussain, Salina Abdul Samad, Burhanuddin Yeop Majlis, Mohd Yusmiaidil Putera Mohd Yusof, Rohana Ahmad, M. A. Hannan and Shabana Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Applied Earth Observation and Geoinformation and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Anuar Mikdad Muad

25 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anuar Mikdad Muad Malaysia	8	154	120	103	72	57	27	359
Seyed Majid Azimi Germany	11	129 0.8×	179 1.5×	28 0.3×	32 0.4×	29 0.5×	24	549
Shanxin Guo China	12	136 0.9×	70 0.6×	115 1.1×	73 1.0×	13 0.2×	32	403
Corentin Henry Germany	8	167 1.1×	186 1.6×	52 0.5×	38 0.5×	16 0.3×	22	434
Zezhong Zheng China	10	113 0.7×	141 1.2×	49 0.5×	77 1.1×	17 0.3×	80	420
Shivam Pande India	10	223 1.4×	113 0.9×	39 0.4×	89 1.2×	32 0.6×	25	476
Weiwei Sun China	4	162 1.1×	237 2.0×	40 0.4×	36 0.5×	5 0.1×	8	420
Xiaodan Shi China	9	218 1.4×	187 1.6×	21 0.2×	40 0.6×	44 0.8×	32	490
Zhengeng Yang China	8	48 0.3×	240 2.0×	15 0.1×	13 0.2×	17 0.3×	20	417
Jorge Antônio Silva Centeno Brazil	8	57 0.4×	88 0.7×	59 0.6×	19 0.3×	16 0.3×	73	346

Countries citing papers authored by Anuar Mikdad Muad

Since Specialization

Citations

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

Fields of papers citing papers by Anuar Mikdad Muad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anuar Mikdad Muad. 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 Anuar Mikdad Muad. The network helps show where Anuar Mikdad Muad may publish in the future.

Co-authorship network of co-authors of Anuar Mikdad Muad

This figure shows the co-authorship network connecting the top 25 collaborators of Anuar Mikdad Muad. A scholar is included among the top collaborators of Anuar Mikdad Muad 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 Anuar Mikdad Muad. Anuar Mikdad Muad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yusof, Mohd Yusmiaidil Putera Mohd, et al.. (2024). Development and validation of automated Forensic Dental Age Estimation Lab (F-DentEst Lab). Australian Journal of Forensic Sciences. 56(sup1). 75–77. 1 indexed citations

Muad, Anuar Mikdad, et al.. (2022). Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging. BMC Medical Imaging. 22(1). 66–66. 33 indexed citations

Muad, Anuar Mikdad, et al.. (2021). Reclassification of Demirjian's mandibular premolars staging for age estimation based on semi-automated segmentation of deep convolutional neural network. Forensic Imaging. 24. 200440–200440. 13 indexed citations

Muad, Anuar Mikdad, et al.. (2021). Calibration of Inverse Perspective Mapping from Different Road Surface Images. 139–142. 1 indexed citations

Muad, Anuar Mikdad, et al.. (2020). Optimizing Hopfield Neural Network for Super-Resolution Mapping. Jurnal Kejuruteraan. 32(1). 91–97. 6 indexed citations

Yusof, Mohd Yusmiaidil Putera Mohd, et al.. (2020). Region-based segmentation and classification of Mandibular First Molar Tooth based on Demirjian’s method. Journal of Physics Conference Series. 1502(1). 12046–12046. 4 indexed citations

Mohtar, Wan Hanna Melini Wan, et al.. (2020). Measuring scour level based on spatial and temporal image analyses. Structural Control and Health Monitoring. 28(1). 7 indexed citations

Yusof, Yushaizad, et al.. (2019). Harmonic Current Detection Method Using Nonlinear Load's DC Output Voltage and Current. 79. 1–5. 1 indexed citations

Muad, Anuar Mikdad, et al.. (2019). Tooth segmentation using dynamic programming-gradient inverse coefficient of variation. Bulletin of Electrical Engineering and Informatics. 8(1). 253–260. 4 indexed citations

10.

Zulkifley, Mohd Asyraf, et al.. (2017). Automated Shoreline Detection Using Natural Colour Composite on SPOT 5 Satellite Imagery. Advanced Science Letters. 23(5). 4601–4604. 1 indexed citations

11.

Muad, Anuar Mikdad, et al.. (2016). An Improved Least Mean Square Algorithm for Adaptive Filter in Active Noise Control Application. Indian Journal of Science and Technology. 9(S1).

12.

Muad, Anuar Mikdad, et al.. (2015). Estimating location of land cover patch in super-resolution mapping by hopfield neural network. 42–47. 1 indexed citations

13.

Hannan, M. A., et al.. (2013). Inter-Vehicle Wireless Communications Technologies, Issues and Challenges. Information Technology Journal. 12(4). 558–568. 18 indexed citations

14.

Su, Yuan-Fong, Giles M. Foody, Anuar Mikdad Muad, & Ke‐Sheng Cheng. (2012). Combining Pixel Swapping and Contouring Methods to Enhance Super-Resolution Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(5). 1428–1437. 42 indexed citations

15.

Muad, Anuar Mikdad & Giles M. Foody. (2011). Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution. International Journal of Applied Earth Observation and Geoinformation. 15. 79–91. 50 indexed citations

16.

Muad, Anuar Mikdad & Giles M. Foody. (2010). Super-resolution mapping using multiple observations and Hopfield neural network. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7830. 783003–783003. 3 indexed citations

17.

Muad, Anuar Mikdad & Giles M. Foody. (2010). Super-resolution mapping of landscape objects from coarse spatial resolution imagery. 1 indexed citations

18.

Muad, Anuar Mikdad & Giles M. Foody. (2010). Super-resolution analysis for accurate mapping of land cover and land cover pattern. 502–505. 3 indexed citations

19.

Hussain, Aini, et al.. (2006). Scene Analysis for Human Silhoutte Extraction. 1. 124–126. 2 indexed citations

20.

Muad, Anuar Mikdad, et al.. (2004). Implementation of inverse perspective mapping algorithm for the development of an automatic lane tracking system. 207–210 Vol. 1. 77 indexed citations

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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