Sudeepa Roy Dey

534 citations
12 papers · 275 indexed · 1 hit paper · h-index 4
Topics
AI in cancer detection (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)scientometrics and bibliometrics research (2 papers)
Partner nations
IndiaGermanyThailand

In The Last Decade

Sudeepa Roy Dey

9 papers receiving 265 citations

Hit Papers

Predicting the direction of stock market prices using tre...2018202620202023201850100150200

Peers

Sudeepa Roy Dey
Comparison fields: 5 of 57
  • Management Science and Operations Research 210
  • Economics and Econometrics 96
  • Finance 85
  • Electrical and Electronic Engineering 84
  • Artificial Intelligence 31
Replace Luckyson Khaidem with:
Luckyson Khaidem United States
Pangjing Wu China
Ruizhu Han China
Robert Ślepaczuk Poland
An-Sing Chen Taiwan
Yumo Xu United Kingdom
Michael Hagenau Germany
Jae Wook Song South Korea
Irene Aldridge United States
Alec N. Kercheval United States
Sudeepa Roy Dey relative to Luckyson Khaidem United States Luckyson Khaidem's profile →
Citations per field
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Luckyson Khaidem · 1×
Citations per year

Countries citing papers authored by Sudeepa Roy Dey

Since Specialization
Citations

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

Fields of papers citing papers by Sudeepa Roy Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudeepa Roy Dey. 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 Sudeepa Roy Dey. The network helps show where Sudeepa Roy Dey may publish in the future.

Co-authorship network of co-authors of Sudeepa Roy Dey

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

All Works

12 of 12 papers shown
#WorkIndexed citations
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Predicting the direction of stock market prices using tree-based classifiersbreakdown →
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About Sudeepa Roy Dey

Sudeepa Roy Dey is a scholar working on Statistics, Probability and Uncertainty, Health Information Management and Computer Science Applications, having authored 12 papers that have together received 275 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Management Science and Operations Research (210 citations), Finance (85 citations) and Economics and Econometrics (96 citations). Sudeepa Roy Dey has collaborated with scholars based in India, Germany and Thailand. Frequent co-authors include Snehanshu Saha, Suryoday Basak, Luckyson Khaidem, Saibal Kar, Abhishek Bansal, Archana Mathur, Sriparna Saha and Kitsuchart Pasupa. Their work appears in journals such as Methods, Journal of Information Science and The North American Journal of Economics and Finance.

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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