C. John Sundar

402 citations
22 papers · 190 indexed · h-index 7
Topics
Multi-Criteria Decision Making (9 papers)Fuzzy and Soft Set Theory (8 papers)Advanced Algebra and Logic (4 papers)
Partner nations
IndiaThailandRussia

In The Last Decade

C. John Sundar

17 papers receiving 182 citations

Peers

C. John Sundar
Comparison fields: 5 of 53
  • Neurology 70
  • Artificial Intelligence 61
  • Computer Vision and Pattern Recognition 59
  • Pediatrics, Perinatology and Child Health 29
  • Biomedical Engineering 26
Replace Nazir Ahmed Malik with:
Nazir Ahmed Malik Pakistan
Parvez Ahmad China
Ambeshwar Kumar India
Saeed Ali Bahaj Saudi Arabia
Mahesh Pawar India
K. Meena India
Abhishek Das India
Anam Mustaqeem Pakistan
Haifan Gong China
Reinaldo Padilha França Brazil
C. John Sundar relative to Nazir Ahmed Malik Pakistan Nazir Ahmed Malik's profile →
Citations per field
00.5×10×14.5×
Nazir Ahmed Malik · 1×
Citations per year

Countries citing papers authored by C. John Sundar

Since Specialization
Citations

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

Fields of papers citing papers by C. John Sundar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. John Sundar. 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 C. John Sundar. The network helps show where C. John Sundar may publish in the future.

Co-authorship network of co-authors of C. John Sundar

This figure shows the co-authorship network connecting the top 25 collaborators of C. John Sundar. A scholar is included among the top collaborators of C. John Sundar 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 C. John Sundar. C. John Sundar 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
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13 9
14 1
15 75
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Mining Words and Targets Using Alignment Model
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17
Incapable of identifying suspicious records in CTG data using ANN based machine learning techniques
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19 46
20 13

About C. John Sundar

C. John Sundar is a scholar working on Management Science and Operations Research, Health Informatics and Computational Theory and Mathematics, having authored 22 papers that have together received 190 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Fuzzy and Soft Set Theory (8 papers) and Advanced Algebra and Logic (4 papers). The work is most often cited by research in Neurology (70 citations), Health Informatics (6 citations) and Health Information Management (14 citations). C. John Sundar has collaborated with scholars based in India, Thailand and Russia. Frequent co-authors include G. Geetharamani, A. Vadivel, Samad Noeiaghdam, Vediyappan Govindan and Aiyared Iampan. Their work appears in journals such as Future Generation Computer Systems, Journal of Medical Systems and Kybernetes.

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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