A.P. Dhillon

543 citations
22 papers · 360 indexed · h-index 10
Topics
Liver Disease Diagnosis and Treatment (5 papers)Artificial Intelligence in Healthcare (5 papers)Gene expression and cancer classification (4 papers)

In The Last Decade

A.P. Dhillon

19 papers receiving 346 citations

Peers

A.P. Dhillon
Comparison fields: 5 of 89
  • Artificial Intelligence 87
  • Radiology, Nuclear Medicine and Imaging 65
  • Health Information Management 64
  • Epidemiology 59
  • Molecular Biology 58
Replace Rajendra S. Sonawane with:
Rajendra S. Sonawane India
Ruchi Singla India
Nazia Hameed United Kingdom
Xiangji Pan China
Mathias Kaspar Germany
Manu Goyal United Kingdom
Shaoping Hu China
Lina Choridah Indonesia
Shahzad Akbar Pakistan
Zhaoan Su China
A.P. Dhillon relative to Rajendra S. Sonawane India Rajendra S. Sonawane's profile →
Citations per field
00.5×2.9×
Rajendra S. Sonawane · 1×
Citations per year

Countries citing papers authored by A.P. Dhillon

Since Specialization
Citations

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

Fields of papers citing papers by A.P. Dhillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.P. Dhillon. 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 A.P. Dhillon. The network helps show where A.P. Dhillon may publish in the future.

Co-authorship network of co-authors of A.P. Dhillon

This figure shows the co-authorship network connecting the top 25 collaborators of A.P. Dhillon. A scholar is included among the top collaborators of A.P. Dhillon 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 A.P. Dhillon. A.P. Dhillon 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
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 13
6 1
7 11
8 46
9 1
10 22
11
Machine Learning in Healthcare Data Analysis: A Survey
48
12 1
13 2
14 1
15 1
16 68
17 1
18 1
19 26
20 46

About A.P. Dhillon

A.P. Dhillon is a scholar working on Health Information Management, Hepatology and Artificial Intelligence, having authored 22 papers that have together received 360 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Artificial Intelligence in Healthcare (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Information Management (64 citations), Health Informatics (11 citations) and Dermatology (58 citations). A.P. Dhillon has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Ashima Singh, Vinod K. Bhalla, Peter E. M. Butler, Rachel U Sidwell, M.H.A. Rustin, Manoj Kumar, Neeraj Kumar, M. Shamim Hossain, Ghulam Muhammad and Richard K. Sibley. Their work appears in journals such as Gut, Journal of Hepatology and Applied Soft 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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