Sujit Kumar Das

30 papers receiving 450 citations

Peers

Sujit Kumar Das
Comparison fields: 5 of 93
  • Health Informatics 20
  • Health Information Management 43
  • Occupational Therapy 34
  • Radiology, Nuclear Medicine and Imaging 187
  • Rehabilitation 53
Replace Arnab Kumar Mishra with:
Arnab Kumar Mishra India
Hassan Douzi Morocco
Maali Alabdulhafith Saudi Arabia
Audrey Huong Malaysia
Junaid Asghar Pakistan
Maria João M. Vasconcelos Portugal
Jaber Alyami Saudi Arabia
Virginie Felizardo Portugal
Ling Dai China
Sujit Kumar Das relative to Arnab Kumar Mishra India Arnab Kumar Mishra's profile →
Citations per field
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Arnab Kumar Mishra · 1×
Citations per year

Countries citing papers authored by Sujit Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujit Kumar Das. 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 Sujit Kumar Das. The network helps show where Sujit Kumar Das may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 202168
3 202157
4 202127
5 202221
6 202320
7 202318
8 202116
9 202114
10 200614
11
Automatic Diabetes Prediction Using Tree Based Ensemble Learners
201913
12 202313
13 202312
14 20218
15 20248
16 20217
17 20217
18 20226
19 20056
20 20055

About Sujit Kumar Das

Sujit Kumar Das is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biological Psychiatry, having authored 34 papers that have together received 470 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (8 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Tryptophan and brain disorders (4 papers), Digital Imaging for Blood Diseases (3 papers), Obsessive-Compulsive Spectrum Disorders (3 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (20 citations), Health Information Management (43 citations), Occupational Therapy (34 citations), Radiology, Nuclear Medicine and Imaging (187 citations) and Rehabilitation (53 citations). Sujit Kumar Das has collaborated with scholars based in India, Lebanon and South Korea. Frequent co-authors include Pinki Roy, Arnab Kumar Mishra, Sivaji Bandyopadhyay, Pranav Kumar Singh, Suyel Namasudra, Tapas K. Chaudhuri, Monojit Debnath, Anshuman Kalla, Arun Kumar Sangaiah and Nageswara Rao Moparthi. Their work appears in journals such as The Canadian Journal of Psychiatry, International Journal of Imaging Systems and Technology, Multimedia Tools and Applications, Egyptian Journal of Biological Pest Control and Image and Vision Computing.

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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