Rosli Besar

741 total citations
57 papers, 527 citations indexed

About

Rosli Besar is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Rosli Besar has authored 57 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Rosli Besar's work include Image Retrieval and Classification Techniques (12 papers), Advanced Data Compression Techniques (9 papers) and Medical Image Segmentation Techniques (8 papers). Rosli Besar is often cited by papers focused on Image Retrieval and Classification Techniques (12 papers), Advanced Data Compression Techniques (9 papers) and Medical Image Segmentation Techniques (8 papers). Rosli Besar collaborates with scholars based in Malaysia and France. Rosli Besar's co-authors include Shahid Iqbal, Wan Mimi Diyana Wan Zaki, Ghanshyam Singh, Tick Hui Oh, Md Shohel Sayeed, Nursabillilah Mohd Ali, Bahbibi Rahmatullah, Muhammad Abdullah, Fazly Salleh Abas and Mohammad Faizal Ahmad Fauzi and has published in prestigious journals such as IEEE Transactions on Power Electronics, Multimedia Tools and Applications and Symmetry.

In The Last Decade

Rosli Besar

55 papers receiving 485 citations

Peers

Rosli Besar
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 201
  • Electrical and Electronic Engineering 117
  • Artificial Intelligence 102
  • Biomedical Engineering 81
  • Cardiology and Cardiovascular Medicine 64
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M. Sultan Zia Pakistan
José Ruiz-Pinales Mexico
Almas Abbasi Pakistan
Michael Chan United States
Jinghui Chu China
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Fardin Abdali-Mohammadi Iran
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Citations per field, relative to Rosli Besar
Rosli Besar · 1×
Citations per year, relative to Rosli Besar
Rosli Besar · 1×

Countries citing papers authored by Rosli Besar

Since Specialization
Citations

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

Fields of papers citing papers by Rosli Besar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosli Besar

This figure shows the co-authorship network connecting the top 25 collaborators of Rosli Besar. A scholar is included among the top collaborators of Rosli Besar 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 Rosli Besar. Rosli Besar 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
# Work Indexed citations
1 3
2 6
3 4
4 1
5 3
6 30
7 2
8 1
9 0
10 16
11 1
12 51
13 6
14 7
15 1
16 16
17 17
18 2
19 23
20 3

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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