Md. Ibrahim Abdullah

871 citations
59 papers · 509 · 1 hit paper · h-index 11

Impact in

Papers in

Md. Ibrahim Abdullah

50 papers receiving 473 citations

Md. Ibrahim Abdullah's Hit Papers

MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification 2023 · 118 citations
1180+1+2Years since publication255075100

Peers

Md. Ibrahim Abdullah
Comparison fields: 5 of 104
  • Virology 86
  • Computer Networks and Communications 71
  • Computer Vision and Pattern Recognition 55
  • Neurology 18
  • Health Informatics 3
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Citations per year

Countries citing papers authored by Md. Ibrahim Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Md. Ibrahim Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Md. Ibrahim Abdullah, 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. Ibrahim Abdullah Line = papers co-authored together Md. Ibrahim Abdullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification
Hit paper breakdown →
2023118
2 202437
3
The Influence of Service Quality and Price on Customer Satisfaction: An Empirical Study on Restaurant Services in Khulna Division
201225
4 201424
5 201224
6 202520
7 202519
8 202419
9 201218
10 201617
11 202417
12 202411
13 202410
14 202410
15
Performance Analysis of Cooperative Spectrum Sensing in Cognitive Radio
20129
16 20158
17
Discovering Biomarkers and Pathways Shared by Alzheimer's Disease and Parkinson's Disease to Identify Novel Therapeutic Targets
20208
18 20257
19 20207
20 20197

About Md. Ibrahim Abdullah

Md. Ibrahim Abdullah is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 59 papers that have together received 509 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (6 papers), Advanced MIMO Systems Optimization (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Wireless Communication Networks Research (2 papers), Radar Systems and Signal Processing (2 papers), Fatigue and fracture mechanics (2 papers), Heat Transfer Mechanisms (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Virology (86 citations), Computer Networks and Communications (71 citations), Computer Vision and Pattern Recognition (55 citations), Neurology (18 citations) and Health Informatics (3 citations). Md. Ibrahim Abdullah has collaborated with scholars based in Bangladesh, United States and China. Frequent co-authors include Md. Alamgir Hossain, Md. Shamim Hossain, Mohammad Zoynal Abedin, Naijie Gu, Zhangjin Huang, Md. Mizanur Rahman, Mohammad Saidul Islam, Balachandran Manavalan, Md. Martuza Ahamad and Mohammed S. Sayed. Their work appears in journals such as Results in Engineering, Digital Signal Processing, Scientific Reports, Materials Today Sustainability and International Journal of Energy Research.

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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