Mazani Manaf

424 total citations
40 papers, 295 citations indexed

About

Mazani Manaf is a scholar working on Computer Vision and Pattern Recognition, Neurology and Computer Networks and Communications. According to data from OpenAlex, Mazani Manaf has authored 40 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Neurology and 9 papers in Computer Networks and Communications. Recurrent topics in Mazani Manaf's work include Medical Image Segmentation Techniques (14 papers), Brain Tumor Detection and Classification (11 papers) and Image Retrieval and Classification Techniques (5 papers). Mazani Manaf is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Brain Tumor Detection and Classification (11 papers) and Image Retrieval and Classification Techniques (5 papers). Mazani Manaf collaborates with scholars based in Malaysia, Algeria and Iraq. Mazani Manaf's co-authors include Shafaf Ibrahim, Sulaiman Wadi Harun, Kayhan Zrar Ghafoor, Hamzah Arof, Mahmoud Hazzaa Mohamed Ahmed, Zabidin Salleh, Umi Kalthum Ngah, Kamarularifin Abd Jalil, Mohd Ezane Aziz and Adnan Ahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics & Laser Technology and Journal of Nonlinear Optical Physics & Materials.

In The Last Decade

Mazani Manaf

32 papers receiving 257 citations

Peers

Mazani Manaf
Seyyed Javad Seyyed Mahdavi Chabok Iran
V. Rajamani India
Hardik Modi India
Xiaobing Zhang China
A. Sampathkumar India
Abdel‐Hameed A. Badawy United States
Rajat Subhra Goswami India
Qunsong Zeng Hong Kong
Li Yao China
Sihui Luo China
Seyyed Javad Seyyed Mahdavi Chabok Iran
Mazani Manaf
Citations per year, relative to Mazani Manaf Mazani Manaf (= 1×) peers Seyyed Javad Seyyed Mahdavi Chabok

Countries citing papers authored by Mazani Manaf

Since Specialization
Citations

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

Fields of papers citing papers by Mazani Manaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mazani Manaf

This figure shows the co-authorship network connecting the top 25 collaborators of Mazani Manaf. A scholar is included among the top collaborators of Mazani Manaf 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 Mazani Manaf. Mazani Manaf 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.
Ibrahim, Shafaf, et al.. (2019). CAPSOCA: hybrid technique for nosologic segmentation of primary brain tumors. Indonesian Journal of Electrical Engineering and Computer Science. 16(1). 267–267. 5 indexed citations
2.
Jalil, Kamarularifin Abd, et al.. (2017). Anonymous Authentication Against Man-In-The-Middle Attack. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 149–153. 1 indexed citations
3.
Manaf, Mazani, et al.. (2015). Simulation tools for vehicular ad hoc networks: A comparison study and future perspectives. 1–8. 35 indexed citations
4.
Manaf, Mazani, et al.. (2015). Multi-lobed double-clad Erbium-Ytterbium co-doped Q-switched fiber laser based on nonlinear polarisation rotation technique. Journal of Nonlinear Optical Physics & Materials. 24(1). 1550002–1550002. 8 indexed citations
5.
Jalil, Kamarularifin Abd, et al.. (2014). Achieving trust in cloud computing using secure data provenance. 5. 84–88. 10 indexed citations
6.
Ahmed, Mahmoud Hazzaa Mohamed, et al.. (2014). Q-switched erbium doped fiber laser based on single and multiple walled carbon nanotubes embedded in polyethylene oxide film as saturable absorber. Optics & Laser Technology. 65. 25–28. 44 indexed citations
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Ahmed, Mahmoud Hazzaa Mohamed, et al.. (2014). All fiber mode-locked Erbium-doped fiber laser using single-walled carbon nanotubes embedded into polyvinyl alcohol film as saturable absorber. Optics & Laser Technology. 62. 40–43. 25 indexed citations
9.
Manaf, Mazani, et al.. (2013). Adapting MapReduce framework for genetic algorithm with large population. 10. 36–41. 7 indexed citations
10.
Abidin, Zaheera Zainal, et al.. (2012). Iris Segmentation Analysis using Integro-Differential and Hough Transform in Biometric System. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 4(2). 41–48. 7 indexed citations
11.
Manaf, Mazani, et al.. (2012). Performance of scalable off-the-shelf hardware for data-intensive parallel processing using MapReduce. 379–384. 1 indexed citations
12.
Ibrahim, Shafaf, et al.. (2011). Brain abnormalities segmentation performances contrasting: adaptive network-based fuzzy inference system (ANFIS) vs K-nearest neighbors (k-NN) vs fuzzy c-means (FCM). Annual Conference on Computers. 285–290. 8 indexed citations
13.
Ibrahim, Shafaf, et al.. (2011). Evaluation method for MRI brain tissue abnormalities segmentation study. Annual Conference on Computers. 297–302. 2 indexed citations
14.
Ibrahim, Shafaf, et al.. (2011). Particle Swarm Optimization vs Seed-Based Region Growing: Brain Abnormalities Segmentation. 7. 174–188. 2 indexed citations
15.
Ibrahim, Shafaf, et al.. (2010). Seed-Based Region Growing (Sbrg) Vs Adaptive Network-Based Inference System (Anfis) Vs Fuzzyc-Means (Fcm): Brain Abnormalities Segmentation. Zenodo (CERN European Organization for Nuclear Research). 18 indexed citations
16.
Manaf, Mazani, et al.. (2010). Fusion of fuzzy heuristic and particle swarm optimization as an edge detector. 10. 250–254. 5 indexed citations
17.
Manaf, Mazani, et al.. (2010). An Empirical Study Using Line Profile Histogram Approximation of Edge Detection Algorithms. 3. 344–348. 1 indexed citations
18.
Ibrahim, Shafaf, et al.. (2010). Empirical study of brain segmentation using particle swarm optimization. 1. 235–239. 12 indexed citations
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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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