M. Ilayaraja

739 total citations
33 papers, 333 citations indexed

About

M. Ilayaraja is a scholar working on Information Systems, Artificial Intelligence and Health Information Management. According to data from OpenAlex, M. Ilayaraja has authored 33 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Health Information Management. Recurrent topics in M. Ilayaraja's work include Artificial Intelligence in Healthcare (10 papers), Internet of Things and AI (5 papers) and Imbalanced Data Classification Techniques (4 papers). M. Ilayaraja is often cited by papers focused on Artificial Intelligence in Healthcare (10 papers), Internet of Things and AI (5 papers) and Imbalanced Data Classification Techniques (4 papers). M. Ilayaraja collaborates with scholars based in India, Malaysia and Vietnam. M. Ilayaraja's co-authors include T. Meyyappan, K. Shankar, S. K. Lakshmanaprabu, V. Vijayakumar, Naveen Chilamkurti, Mohamed Elhoseny, Mohamed Abu ElSoud, Majid Alkhambashi, S. Ramkumar and Irina V. Pustokhina and has published in prestigious journals such as Sustainable Energy Technologies and Assessments, International Journal of Machine Learning and Cybernetics and Concurrency and Computation Practice and Experience.

In The Last Decade

M. Ilayaraja

26 papers receiving 307 citations

Peers

M. Ilayaraja
Comparison fields: 5 of 102
  • Artificial Intelligence 122
  • Information Systems 81
  • Health Information Management 77
  • Computer Vision and Pattern Recognition 50
  • Computer Networks and Communications 41
Replace Minakshi Memoria with:
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Citations per field, relative to M. Ilayaraja
M. Ilayaraja · 1×
Citations per year, relative to M. Ilayaraja
M. Ilayaraja · 1×

Countries citing papers authored by M. Ilayaraja

Since Specialization
Citations

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

Fields of papers citing papers by M. Ilayaraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ilayaraja

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ilayaraja. A scholar is included among the top collaborators of M. Ilayaraja 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 M. Ilayaraja. M. Ilayaraja 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 1
2 0
3 5
4 12
5 0
6 7
7
Decision support system in kindergarten selection using TOPSIS method
9
8
Expert system in determining the quality of nutmeg breed using website-based forward chaining methods
0
9 3
10 0
11 2
12 2
13 1
14 1
15 4
16 95
17 2
18 4
19 1
20 30

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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