M. Arunkumar

465 citations
67 papers · 329 · h-index 10

Impact in

Papers in

M. Arunkumar

55 papers receiving 306 citations

Peers

M. Arunkumar
Comparison fields: 5 of 86
  • Applied Mathematics 132
  • Numerical Analysis 22
  • Algebra and Number Theory 17
  • Mathematical Physics 33
  • Geometry and Topology 23
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Citations per year

Countries citing papers authored by M. Arunkumar

Since Specialization
Citations

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

Fields of papers citing papers by M. Arunkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside M. Arunkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Arunkumar Line = papers co-authored together M. Arunkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201064
2
STABILITY OF A GENERALIZED MIXED TYPE ADDITIVE, QUADRATIC, CUBIC AND QUARTIC FUNCTIONAL EQUATION
200931
3
ON THE ULAM-GAVRUTA-RASSIAS STABILITY OF THE ORTHOGONALLY EULER-LAGRANGE TYPE FUNCTIONAL EQUATION
200726
4 201223
5 201218
6 201711
7 202010
8 201010
9 20139
10
Garbage Waste Classification Using Supervised Deep Learning Techniques
20209
11 20138
12
THE GENERALIZED HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION
20087
13 20207
14 20136
15 20165
16 20195
17 20095
18 20205
19
Fuzzy Stability of An Additive Functional Equation
20114
20 20174

About M. Arunkumar

M. Arunkumar is a scholar working on Applied Mathematics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Numerical Analysis, having authored 67 papers that have together received 329 indexed citations. Recurring topics across this work include Functional Equations Stability Results (33 papers), Mathematical and Theoretical Analysis (5 papers), Numerical methods for differential equations (4 papers), Fixed Point Theorems Analysis (4 papers), Low-power high-performance VLSI design (3 papers), Advanced Topics in Algebra (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Applied Mathematics (132 citations), Numerical Analysis (22 citations), Algebra and Number Theory (17 citations), Mathematical Physics (33 citations) and Geometry and Topology (23 citations). M. Arunkumar has collaborated with scholars based in India, Greece and United States. Frequent co-authors include M. Gopal, K. Ravi, John Michael Rassias, R. Karthik, G. Padmavati, Gopinath Ganapathy, Subramanian Ramamoorthy, Rajesh Kannan Megalingam, Vediyappan Govindan and K. S. Balamurugan. Their work appears in journals such as Pattern Recognition, Demonstratio Mathematica, International Journal of Computer Aided Engineering and Technology, Communications in computer and information science and International Journal of Apllied Mathematics.

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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