M. M. A. Hashem

2.1k total citations · 1 hit paper
70 papers, 1.1k citations indexed

About

M. M. A. Hashem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, M. M. A. Hashem has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in M. M. A. Hashem's work include Evolutionary Algorithms and Applications (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Metaheuristic Optimization Algorithms Research (9 papers). M. M. A. Hashem is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Metaheuristic Optimization Algorithms Research (9 papers). M. M. A. Hashem collaborates with scholars based in Bangladesh, Japan and United States. M. M. A. Hashem's 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 and has published in prestigious journals such as IEEE Access, Biomedical Signal Processing and Control and JMIR mhealth and uhealth.

In The Last Decade

M. M. A. Hashem

65 papers receiving 997 citations

Hit Papers

Attack and anomaly detection in IoT sensors in IoT sites ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

M. M. A. Hashem
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
Replace P. Deepalakshmi with:
P. Deepalakshmi India
Hossam Hawash Egypt
Shijie Zhou China
Omar A. Alzubi Jordan
Neelu Khare India
S. Velliangiri India
Dawei Feng China
Riaz Ullah Khan China
Gigliola Vaglini Italy
Mario Luca Bernardi Italy
P. Deepalakshmi India View profile →
Citations per field, relative to M. M. A. Hashem
M. M. A. Hashem · 1×
Citations per year, relative to M. M. A. Hashem
M. M. A. Hashem · 1×

Countries citing papers authored by M. M. A. Hashem

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 approaches breakdown →
539
13 13
14 51
15 1
16 1
17 2
18 1
19 3
20 2

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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2026