Dilip Kumar Choubey

1.1k total citations
37 papers, 497 citations indexed

About

Dilip Kumar Choubey is a scholar working on Health Information Management, Artificial Intelligence and Complementary and alternative medicine. According to data from OpenAlex, Dilip Kumar Choubey has authored 37 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Health Information Management, 10 papers in Artificial Intelligence and 8 papers in Complementary and alternative medicine. Recurrent topics in Dilip Kumar Choubey's work include Artificial Intelligence in Healthcare (20 papers), Traditional Chinese Medicine Studies (8 papers) and Imbalanced Data Classification Techniques (7 papers). Dilip Kumar Choubey is often cited by papers focused on Artificial Intelligence in Healthcare (20 papers), Traditional Chinese Medicine Studies (8 papers) and Imbalanced Data Classification Techniques (7 papers). Dilip Kumar Choubey collaborates with scholars based in India and Singapore. Dilip Kumar Choubey's co-authors include Sanchita Paul, Sudhakar Tripathi, Vaibhav Shukla, Vinay Kumar Dhandhania, Manish Kumar, Kanchan Bala, Debabrata Singh, Prabhat Kumar, Madhushi Verma and Nikunj Sharma and has published in prestigious journals such as Agronomy Journal, Multimedia Tools and Applications and Current Diabetes Reviews.

In The Last Decade

Dilip Kumar Choubey

34 papers receiving 468 citations

Peers

Dilip Kumar Choubey
Comparison fields: 5 of 88
  • Health Information Management 262
  • Artificial Intelligence 217
  • Information Systems 60
  • Plant Science 59
  • Complementary and alternative medicine 50
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Citations per field, relative to Dilip Kumar Choubey
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Citations per year, relative to Dilip Kumar Choubey
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Countries citing papers authored by Dilip Kumar Choubey

Since Specialization
Citations

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

Fields of papers citing papers by Dilip Kumar Choubey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilip Kumar Choubey

This figure shows the co-authorship network connecting the top 25 collaborators of Dilip Kumar Choubey. A scholar is included among the top collaborators of Dilip Kumar Choubey 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 Dilip Kumar Choubey. Dilip Kumar Choubey 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 0
2 0
3 3
4 1
5 27
6 24
7 9
8 13
9 2
10 11
11 5
12 4
13 22
14 48
15 54
16 5
17
Rule based diagnosis system for diabetes
9
18 17
19 35
20 14

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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