Antesar Shabut
Impact in
-
- Cutaneous Melanoma Detection and Management
- Dermatology top 10%
- Skin Protection and Aging
Papers in
- Oncology 6
- Cutaneous Melanoma Detection and Management 6
-
- Biosensors and Analytical Detection 3
- Advanced Chemical Sensor Technologies 2
- Optical Coherence Tomography Applications 2
- Co-authors
- Nazia Hameed (6 shared papers)M. Anwar Hossain (2 shared papers)Khin Lwin (6 shared papers)Marzia Hoque Tania (4 shared papers)Md Aslam Hossain (4 shared papers)Silvia Cirstea (2 shared papers)Mohammad Alamgir Hossain (2 shared papers)Benjamin A. Evans (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Engineering Applications of Artificial Intelligence (1 paper)Computers (1 paper)TeesRep (Teesside University) (2 papers)Anglia Ruskin Research Online (Anglia Ruskin University) (1 paper)
- Partner nations
- United KingdomSaudi ArabiaBangladesh
In The Last Decade
Antesar Shabut
12 papers receiving 404 citations
Peers
Comparison fields: 5 of 88
- Oncology 223
- Dermatology 59
- Artificial Intelligence 179
- Health Informatics 6
- Health Information Management 15
Countries citing papers authored by Antesar Shabut
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
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-authors
The 18 scholars most cited alongside Antesar Shabut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 139 | |
| 2 | 2018 | 77 | |
| 3 | 2018 | 45 | |
| 4 | 2018 | 44 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 32 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 0 |
About Antesar Shabut
Antesar Shabut is a scholar working on Oncology, Biomedical Engineering, Dermatology, Artificial Intelligence and Media Technology, having authored 14 papers that have together received 433 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), Biosensors and Analytical Detection (3 papers), Advanced Chemical Sensor Technologies (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Optical Coherence Tomography Applications (2 papers), melanin and skin pigmentation (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Oncology (223 citations), Dermatology (59 citations), Artificial Intelligence (179 citations), Health Informatics (6 citations) and Health Information Management (15 citations). Antesar Shabut has collaborated with scholars based in United Kingdom, Saudi Arabia and Bangladesh. Frequent co-authors include Nazia Hameed, M. Anwar Hossain, Khin Lwin, Marzia Hoque Tania, Md Aslam Hossain, Silvia Cirstea, Mohammad Alamgir Hossain, Benjamin A. Evans, Mohammad Najlah and Nor Azah Yusof. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Computers, TeesRep (Teesside University) and Anglia Ruskin Research Online (Anglia Ruskin University).
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.