Mohammad Nazmul Haque
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence
- Management Science and Operations Research
- Computer Vision and Pattern Recognition
- Co-authors
- Pablo MoscatoAbdullah GaniMd WhaiduzzamanMuhammad ShirazIsraat HaqueNor Badrul AnuarRegina BerrettaNasimul Noman
- Topics
- Metaheuristic Optimization Algorithms Research (3 papers)Evolutionary Algorithms and Applications (3 papers)Complex Network Analysis Techniques (2 papers)
- Partner nations
- AustraliaUnited StatesBangladesh
In The Last Decade
Mohammad Nazmul Haque
18 papers receiving 328 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 127
- Information Systems 118
- Artificial Intelligence 88
- Management Science and Operations Research 38
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Mohammad Nazmul Haque
This map shows the geographic impact of Mohammad Nazmul Haque'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 Mohammad Nazmul Haque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Nazmul Haque more than expected).
Fields of papers citing papers by Mohammad Nazmul Haque
This network shows the impact of papers produced by Mohammad Nazmul Haque. 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 Mohammad Nazmul Haque. The network helps show where Mohammad Nazmul Haque may publish in the future.
Co-authorship network of co-authors of Mohammad Nazmul Haque
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Nazmul Haque. A scholar is included among the top collaborators of Mohammad Nazmul Haque 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 Mohammad Nazmul Haque. Mohammad Nazmul Haque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 39 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 54 | |
| 15 | 16 | |
| 16 | 28 | |
| 17 | 140 | |
| 18 | Accelerating Fast Fourier Transformation for Image Processing using Graphics Processing Unit | 12 |
About Mohammad Nazmul Haque
Mohammad Nazmul Haque is a scholar working on Biological Psychiatry, General Social Sciences and Statistical and Nonlinear Physics, having authored 18 papers that have together received 346 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (3 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Molecular Medicine (29 citations), Computer Networks and Communications (127 citations) and Information Systems (118 citations). Mohammad Nazmul Haque has collaborated with scholars based in Australia, United States and Bangladesh. Frequent co-authors include Pablo Moscato, Abdullah Gani, Md Whaiduzzaman, Muhammad Shiraz, Israat Haque, Nor Badrul Anuar, Regina Berretta, Nasimul Noman, Mohammad Shorif Uddin and Haoyuan Sun. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.