Md. Rashedul Islam

2.9k citations
121 papers · 1.7k · h-index 21

Impact in

Papers in

Md. Rashedul Islam

109 papers receiving 1.6k citations

Peers

Md. Rashedul Islam
Comparison fields: 5 of 153
  • Human-Computer Interaction 207
  • Computer Vision and Pattern Recognition 472
  • Energy Engineering and Power Technology 43
  • Artificial Intelligence 339
  • Safety, Risk, Reliability and Quality 96
Replace Mauridhi Hery Purnomo with:
Mauridhi Hery Purnomo Indonesia
Andrew Liu United States
Juvenal Rodríguez‐Reséndiz Mexico
Mohsin Jamil Pakistan
Shen Li China
Hongbo Liu China
Quan Liu China
Ahmed M. Helmi Egypt
Xianlun Tang China
Rajesh Kannan Megalingam India
Md. Rashedul Islam relative to Mauridhi Hery Purnomo Indonesia Mauridhi Hery Purnomo's profile →
Citations per field
00.5×2.8×
Mauridhi Hery Purnomo · 1×
Citations per year

Countries citing papers authored by Md. Rashedul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Rashedul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Rashedul Islam. 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 Md. Rashedul Islam. The network helps show where Md. Rashedul Islam may publish in the future.

Co-authors

The 25 scholars most cited alongside Md. Rashedul Islam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md. Rashedul Islam Line = papers co-authored together Md. Rashedul Islam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2020133
3 2021128
4 201698
5 201766
6 202257
7 201753
8 201553
9 202151
10 201846
11 201945
12 202241
13
Person Identification Using Ear Biometrics
200736
14 202334
15 202033
16 201227
17 202024
18
Texture Feature Extraction Techniques for Fault Diagnosis of Induction Motors
201422
19 201921
20 202221

About Md. Rashedul Islam

Md. Rashedul Islam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 121 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (11 papers), Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (7 papers), Antenna Design and Analysis (7 papers), Context-Aware Activity Recognition Systems (7 papers), Human Pose and Action Recognition (6 papers), Drug Solubulity and Delivery Systems (6 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Human-Computer Interaction (207 citations), Computer Vision and Pattern Recognition (472 citations), Energy Engineering and Power Technology (43 citations), Artificial Intelligence (339 citations) and Safety, Risk, Reliability and Quality (96 citations). Md. Rashedul Islam has collaborated with scholars based in Bangladesh, Japan and South Korea. Frequent co-authors include Jong-Myon Kim, Jungpil Shin, Nadeem Ahmed, M. F. Mridha, Yutaka Watanobe, Aklima Akter Lima, Sujoy Chandra Das, Md. Mohsin Kabir, Md Abdur Rahim and Sheraz Ali Khan. Their work appears in journals such as Sensors, IEEE Access, Applied Sciences, Scientific Reports and Multimedia Tools and 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.

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