M. M. A. Hashem
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Co-authors
- Md. Milon IslamMd Ishrak Islam ZarifMd. Mahmudul HasanKeigo WatanabeMd. Kamrul HasanTajul IslamS. M. Taslim Uddin RajuMd. Rezwanul Haque
- Topics
- Evolutionary Algorithms and Applications (9 papers)Non-Invasive Vital Sign Monitoring (9 papers)Metaheuristic Optimization Algorithms Research (9 papers)
- Partner nations
- BangladeshJapanUnited States
In The Last Decade
M. M. A. Hashem
65 papers receiving 997 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 520
- Computer Networks and Communications 506
- Signal Processing 266
- Computer Vision and Pattern Recognition 152
- Information Systems 147
Countries citing papers authored by M. M. A. Hashem
This map shows the geographic impact of M. M. A. Hashem'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 M. M. A. Hashem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. M. A. Hashem more than expected).
Fields of papers citing papers by M. M. A. Hashem
This network shows the impact of papers produced by M. M. A. Hashem. 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 M. M. A. Hashem. The network helps show where M. M. A. Hashem may publish in the future.
Co-authorship network of co-authors of M. M. A. Hashem
This figure shows the co-authorship network connecting the top 25 collaborators of M. M. A. Hashem. A scholar is included among the top collaborators of M. M. A. Hashem 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 M. M. A. Hashem. M. M. A. Hashem 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 | 16 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | Attack and anomaly detection in IoT sensors in IoT sites using machine learning approachesbreakdown → | 539 |
| 13 | 13 | |
| 14 | 51 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 2 |
About M. M. A. Hashem
M. M. A. Hashem is a scholar working on Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Metaheuristic Optimization Algorithms Research (9 papers). The work is most often cited by research in Signal Processing (266 citations), Computer Networks and Communications (506 citations) and Artificial Intelligence (520 citations). M. M. A. Hashem has collaborated with scholars based in Bangladesh, Japan and United States. Frequent co-authors include Md. Milon Islam, Md Ishrak Islam Zarif, Md. Mahmudul Hasan, Keigo Watanabe, Md. Kamrul Hasan, Tajul Islam, S. M. Taslim Uddin Raju, Md. Rezwanul Haque, Jakaria Rabbi and Md. Abdul Awal. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control and JMIR mhealth and uhealth.
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.