Antesar Shabut

673 total citations
14 papers, 433 citations indexed

About

Antesar Shabut is a scholar working on Oncology, Biomedical Engineering and Dermatology. According to data from OpenAlex, Antesar Shabut has authored 14 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Biomedical Engineering and 3 papers in Dermatology. Recurrent topics in Antesar Shabut's work include Cutaneous Melanoma Detection and Management (6 papers), Biosensors and Analytical Detection (3 papers) and Optical Coherence Tomography Applications (2 papers). Antesar Shabut is often cited by papers focused on Cutaneous Melanoma Detection and Management (6 papers), Biosensors and Analytical Detection (3 papers) and Optical Coherence Tomography Applications (2 papers). Antesar Shabut collaborates with scholars based in United Kingdom, Bangladesh and Saudi Arabia. Antesar Shabut's co-authors include Nazia Hameed, M. Anwar Hossain, Khin Lwin, Marzia Hoque Tania, Md Aslam Hossain, Silvia Cirstea, Mohammad Alamgir Hossain, Mohammad Najlah, Jeannette Chin and Nor Azah Yusof and has published in prestigious journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Computers.

In The Last Decade

Antesar Shabut

12 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antesar Shabut United Kingdom 9 223 179 74 73 59 14 433
Sanjay Nair India 5 195 0.9× 202 1.1× 35 0.5× 70 1.0× 28 0.5× 18 365
Ammara Masood Australia 8 268 1.2× 235 1.3× 46 0.6× 76 1.0× 43 0.7× 13 366
Ahmad Naeem Pakistan 13 329 1.5× 388 2.2× 30 0.4× 152 2.1× 43 0.7× 25 680
K. P. Sanal Kumar India 6 195 0.9× 197 1.1× 39 0.5× 71 1.0× 28 0.5× 14 417
Jason Hagerty United States 11 273 1.2× 220 1.2× 52 0.7× 94 1.3× 29 0.5× 26 402
Maryam Sadeghi Canada 11 222 1.0× 160 0.9× 77 1.0× 36 0.5× 26 0.4× 23 354
Omar Abuzaghleh United States 11 223 1.0× 186 1.0× 135 1.8× 38 0.5× 30 0.5× 19 475
Walaa Gouda Saudi Arabia 10 209 0.9× 267 1.5× 33 0.4× 91 1.2× 26 0.4× 16 501
Yixin Cai United States 8 144 0.6× 147 0.8× 16 0.2× 57 0.8× 26 0.4× 15 365
Md Shahin Ali Bangladesh 15 248 1.1× 462 2.6× 33 0.4× 187 2.6× 35 0.6× 25 900

Countries citing papers authored by Antesar Shabut

Since Specialization
Citations

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

Fields of papers citing papers by Antesar Shabut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antesar Shabut

This figure shows the co-authorship network connecting the top 25 collaborators of Antesar Shabut. A scholar is included among the top collaborators of Antesar Shabut 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 Antesar Shabut. Antesar Shabut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Lu, Xin, et al.. (2024). A Review of Security Frameworks in Flying Ad-hoc Networks. 183–190.
2.
Shabut, Antesar, et al.. (2023). Unravelling the Skills Deficit in Tech: An Educator's Perspective. 146–153.
3.
Hameed, Nazia, et al.. (2020). Mobile-based Skin Lesions Classification Using Convolution Neural Network. 4(2). 26–37. 16 indexed citations
4.
Hasan, Mahmudul, Khin Lwin, Antesar Shabut, & Mohammad Alamgir Hossain. (2019). Design and Development of a Benchmark for Dynamic Multi-objective Optimisation Problem in the Context of Deep Reinforcement Learning. 1–6. 1 indexed citations
5.
Hameed, Nazia, et al.. (2019). An Intelligent Inflammatory Skin Lesions Classification Scheme for Mobile Devices. TeesRep (Teesside University). 83–88. 4 indexed citations
6.
Hameed, Nazia, et al.. (2019). Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques. Expert Systems with Applications. 141. 112961–112961. 139 indexed citations
7.
Tania, Marzia Hoque, et al.. (2019). Assay Type Detection Using Advanced Machine Learning Algorithms. Anglia Ruskin Research Online (Anglia Ruskin University). 1–8. 12 indexed citations
8.
Hasan, Md Mahmudul, Khin Lwin, Maryam Imani, et al.. (2019). Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality. Engineering Applications of Artificial Intelligence. 86. 107–135. 25 indexed citations
9.
Tania, Marzia Hoque, Khin Lwin, Antesar Shabut, et al.. (2019). Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays. Expert Systems with Applications. 139. 112843–112843. 33 indexed citations
10.
Hameed, Nazia, et al.. (2019). An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions. Computers. 8(3). 62–62. 32 indexed citations
11.
Hameed, Nazia, et al.. (2018). A Computer-aided diagnosis system for classifying prominent skin lesions using machine learning. 186–191. 45 indexed citations
12.
Tania, Marzia Hoque, Khin Lwin, Antesar Shabut, & Md Aslam Hossain. (2018). Clustering and Classification of a Qualitative Colorimetric Test. TeesRep (Teesside University). 7–11. 5 indexed citations
13.
Shabut, Antesar, Marzia Hoque Tania, Khin Lwin, et al.. (2018). An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time. Expert Systems with Applications. 114. 65–77. 44 indexed citations
14.
Hameed, Nazia, Antesar Shabut, & M. Anwar Hossain. (2018). Multi-Class Skin Diseases Classification Using Deep Convolutional Neural Network and Support Vector Machine. 1–7. 77 indexed citations

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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