Antesar Shabut

684 citations
15 papers · 507 · h-index 9

Impact in

  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • Skin Protection and Aging

Papers in

    • Cutaneous Melanoma Detection and Management 7
    • Biosensors and Analytical Detection 3
    • Optical Coherence Tomography Applications 2
    • Advanced Chemical Sensor Technologies 2

Antesar Shabut

13 papers receiving 474 citations

Peers

Antesar Shabut
Comparison fields: 5 of 90
  • Oncology 262
  • Dermatology 67
  • Health Informatics 8
  • Artificial Intelligence 203
  • Health Information Management 19
Replace Sanjay Nair with:
Sanjay Nair India
K. P. Sanal Kumar India
Tri-Cong Pham France
Yixin Cai United States
Ammara Masood Australia
Masum Shah Junayed Türkiye
Walaa Gouda Saudi Arabia
Rehan Ashraf Pakistan
Amirreza Mahbod Austria
P. C. Siddalingaswamy India
Antesar Shabut relative to Sanjay Nair India Sanjay Nair's profile →
Citations per field
00.5×4.1×
Sanjay Nair · 1×
Citations per year

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-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.

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

All Works

15 of 15 papers shown
#Work
1 2019155
2 201895
3 201852
4 201851
5 201940
6 201936
7 201926
8 202018
9 201918
10 20186
11 20196
12 20212
13 20191
14 20231
15 20240

About Antesar Shabut

Antesar Shabut is a scholar working on Oncology, Biomedical Engineering, Dermatology, Artificial Intelligence and Media Technology, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), Biosensors and Analytical Detection (3 papers), Acne and Rosacea Treatments and Effects (3 papers), Dermatology and Skin Diseases (2 papers), melanin and skin pigmentation (2 papers), Optical Coherence Tomography Applications (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Oncology (262 citations), Dermatology (67 citations), Health Informatics (8 citations), Artificial Intelligence (203 citations) and Health Information Management (19 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, Nor Azah Yusof and Jeannette Chin. 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.

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