Andri Mirzal
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Topics
- Face and Expression Recognition (7 papers)Gene expression and cancer classification (6 papers)Complex Network Analysis Techniques (4 papers)
In The Last Decade
Andri Mirzal
23 papers receiving 624 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 243
- Molecular Biology 235
- Computer Vision and Pattern Recognition 178
- Information Systems 50
- Signal Processing 45
Countries citing papers authored by Andri Mirzal
This map shows the geographic impact of Andri Mirzal'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 Andri Mirzal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andri Mirzal more than expected).
Fields of papers citing papers by Andri Mirzal
This network shows the impact of papers produced by Andri Mirzal. 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 Andri Mirzal. The network helps show where Andri Mirzal may publish in the future.
Co-authorship network of co-authors of Andri Mirzal
This figure shows the co-authorship network connecting the top 25 collaborators of Andri Mirzal. A scholar is included among the top collaborators of Andri Mirzal 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 Andri Mirzal. Andri Mirzal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 41 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 12 | |
| 9 | Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selectionbreakdown → | 454 |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | Stability Analysis and Compensation of Time Delays in Analog Control Systems | 1 |
| 16 | A study on clustering and latent semantic indexing aspects of the nonnegative matrix factorization techniques | 1 |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 1 |
About Andri Mirzal
Andri Mirzal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Statistical and Nonlinear Physics, having authored 23 papers that have together received 653 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Gene expression and cancer classification (6 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (178 citations) and Artificial Intelligence (243 citations). Andri Mirzal has collaborated with scholars based in Malaysia, Bahrain and Japan. Frequent co-authors include Habibollah Haron, Haza Nuzly Abdull Hamed and Masashi Furukawa. Their work appears in journals such as Journal of Computational and Applied Mathematics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Advances in Data Analysis and Classification.
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.