Shawni Dutta

675 total citations
29 papers, 170 citations indexed

About

Shawni Dutta is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Shawni Dutta has authored 29 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Health Information Management. Recurrent topics in Shawni Dutta's work include COVID-19 diagnosis using AI (7 papers), Stock Market Forecasting Methods (4 papers) and Artificial Intelligence in Healthcare (4 papers). Shawni Dutta is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Stock Market Forecasting Methods (4 papers) and Artificial Intelligence in Healthcare (4 papers). Shawni Dutta collaborates with scholars based in India, China and Malaysia. Shawni Dutta's co-authors include Samir Kumar Bandyopadhyay, Tai Hoon Kim, Vishal Goyal, Jyotsna Kumar Mandal, Tapas Kumar Banerjee, Subhankar Das, Arijit Chaudhuri, Abhijit Hazra, Biman Kanti Ray and Utsab Mukherjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Neurologica Scandinavica and Psychiatria Danubina.

In The Last Decade

Shawni Dutta

25 papers receiving 158 citations

Peers

Shawni Dutta
Comparison fields: 5 of 68
  • Artificial Intelligence 74
  • Radiology, Nuclear Medicine and Imaging 51
  • Information Systems 42
  • Modeling and Simulation 28
  • Health Information Management 16
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Valerio La Gatta Italy
Shuntaro Yada Japan
Noor Abu-el-rub United States
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Debabrata Dansana India
Md Musfique Anwar Bangladesh
Julian Matschinske Germany
Merlijn Sevenster United States
Andrzej Glowinski United Kingdom
Jacinto Mata Vázquez Spain
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Citations per field, relative to Shawni Dutta
Shawni Dutta · 1×
Citations per year, relative to Shawni Dutta
Shawni Dutta · 1×

Countries citing papers authored by Shawni Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Shawni Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawni Dutta

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
Leaf Diseases Detection of Medicinal Plants Based on Image Processing and Machine Learning Processes
0
2 1
3 8
4 1
5 2
6 2
7 13
8
Revealing Brain Tumor Using Cross-Validated NGBoost Classifier: NG Boost Classifier
1
9 1
10 0
11 0
12 32
13 5
14 1
15 1
16
Problems and Solutions Due to Mental Anxiety of IT Professionals Work at Home during COVID-19.
3
17 3
18 6
19 13
20 9

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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