Shamimul Qamar

1.1k citations
48 papers · 370 · h-index 12

Impact in

Papers in

Shamimul Qamar

41 papers receiving 352 citations

Peers

Shamimul Qamar
Comparison fields: 5 of 98
  • Health Information Management 22
  • Information Systems 80
  • Artificial Intelligence 103
  • Computer Networks and Communications 70
  • Computer Vision and Pattern Recognition 54
Replace Diego García‐Gil with:
Diego García‐Gil Spain
Ahmad F. Subahi Saudi Arabia
Suriani Mohd Sam Malaysia
M. Thenmozhi India
D. Vijendra Babu India
Gandikota Ramu India
G. Manikandan India
C. Karthikeyan India
Mücahid Mustafa Sarıtaş Türkiye
T. Kiruthiga United States
Shamimul Qamar relative to Diego García‐Gil Spain Diego García‐Gil's profile →
Citations per field
00.5×1.5×
Diego García‐Gil · 1×
Citations per year

Countries citing papers authored by Shamimul Qamar

Since Specialization
Citations

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

Fields of papers citing papers by Shamimul Qamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shamimul Qamar. 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 Shamimul Qamar. The network helps show where Shamimul Qamar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201925
3 201922
4 202222
5 202021
6
A Prototype of Cancer/Heart Disease Prediction Model Using Data Mining
201216
7 202214
8 202212
9 202112
10 202212
11 202311
12 202311
13 201911
14 202010
15 202210
16 20249
17 20229
18 20207
19 20186
20 20096

About Shamimul Qamar

Shamimul Qamar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 370 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (6 papers), Advanced MIMO Systems Optimization (5 papers), IoT and Edge/Fog Computing (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Brain Tumor Detection and Classification (4 papers), Cooperative Communication and Network Coding (4 papers), Web Data Mining and Analysis (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Health Information Management (22 citations), Information Systems (80 citations), Artificial Intelligence (103 citations), Computer Networks and Communications (70 citations) and Computer Vision and Pattern Recognition (54 citations). Shamimul Qamar has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Tanweer Alam, Amit Rai Dixit, Mohamed Benaida, Naim Ahmad, Nawsher Khan, Mohammad Rashid Hussain, Arshi Naim, Quadri Noorulhasan Naveed, Gaurav Verma and Girish Sharma. Their work appears in journals such as Computers & Electrical Engineering, Wireless Personal Communications, Neural Computing and Applications, Sustainable Energy Technologies and Assessments and Measurement.

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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