A. Arunkumar

766 total citations
28 papers, 676 citations indexed

About

A. Arunkumar is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, A. Arunkumar has authored 28 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 15 papers in Control and Systems Engineering and 8 papers in Artificial Intelligence. Recurrent topics in A. Arunkumar's work include Neural Networks Stability and Synchronization (15 papers), Stability and Control of Uncertain Systems (13 papers) and Neural Networks and Applications (7 papers). A. Arunkumar is often cited by papers focused on Neural Networks Stability and Synchronization (15 papers), Stability and Control of Uncertain Systems (13 papers) and Neural Networks and Applications (7 papers). A. Arunkumar collaborates with scholars based in India, South Korea and China. A. Arunkumar's co-authors include R. Sakthivel, K. Mathiyalagan, S. Marshal Anthoni, Ju H. Park, Peng Shi, Nithya Venkatesan, Yurong Liu, Fuad E. Alsaadi, K. Annamalai and J. Isaac JoshuaRamesh Lalvani and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Neurocomputing.

In The Last Decade

A. Arunkumar

28 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Arunkumar India 14 494 367 168 131 109 28 676
Ali Kazemy Iran 13 328 0.7× 354 1.0× 51 0.3× 102 0.8× 76 0.7× 44 576
Linchuang Zhang China 9 506 1.0× 715 1.9× 168 1.0× 93 0.7× 55 0.5× 25 904
Pingfang Zhou China 11 279 0.6× 603 1.6× 60 0.4× 73 0.6× 63 0.6× 48 807
Xiaoxiao Lv China 14 495 1.0× 162 0.4× 100 0.6× 107 0.8× 286 2.6× 24 652
Hailong Tan China 12 423 0.9× 486 1.3× 206 1.2× 102 0.8× 33 0.3× 21 728
Mohamed Hamdy Egypt 18 262 0.5× 780 2.1× 163 1.0× 94 0.7× 43 0.4× 51 922
Ker‐Wei Yu Taiwan 12 268 0.5× 417 1.1× 90 0.5× 54 0.4× 58 0.5× 35 644
Pingli Lu China 16 469 0.9× 425 1.2× 31 0.2× 125 1.0× 34 0.3× 69 727
Abdellah Benzaouia Morocco 21 264 0.5× 1.1k 2.9× 83 0.5× 51 0.4× 41 0.4× 64 1.1k
Chengyu Yang China 7 314 0.6× 430 1.2× 40 0.2× 68 0.5× 34 0.3× 10 537

Countries citing papers authored by A. Arunkumar

Since Specialization
Citations

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

Fields of papers citing papers by A. Arunkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Arunkumar

This figure shows the co-authorship network connecting the top 25 collaborators of A. Arunkumar. A scholar is included among the top collaborators of A. Arunkumar 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. Arunkumar. A. Arunkumar 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
1.
Chellaswamy, C., et al.. (2022). 6-phase DFIG for wind energy conversion system: A hybrid approach. Sustainable Energy Technologies and Assessments. 53. 102497–102497. 4 indexed citations
2.
Kannimuthu, S. & A. Arunkumar. (2021). Machine Learning Based Approach For Corona Virus Disease Recovery Prediction. 12(3). 1188–1199. 2 indexed citations
3.
Arunkumar, A., et al.. (2021). Autism Spectrum Disorder Diagnosis Using Ensemble ML and Max Voting Techniques. Computer Systems Science and Engineering. 41(1). 389–404. 3 indexed citations
4.
Liu, Yurong, A. Arunkumar, R. Sakthivel, Nithya Venkatesan, & Fuad E. Alsaadi. (2019). Finite-time event-triggered non-fragile control and fault detection for switched networked systems with random packet losses. Journal of the Franklin Institute. 357(16). 11394–11420. 33 indexed citations
5.
Arunkumar, A., et al.. (2019). Data Fusion and Machine Learning in Medical Diagnosis: A Bird Eye View. Journal of Computational and Theoretical Nanoscience. 16(12). 5127–5133. 2 indexed citations
6.
Sakthivel, R., Peng Shi, A. Arunkumar, & K. Mathiyalagan. (2015). Robust reliable H ∞ control for fuzzy systems with random delays and linear fractional uncertainties. Fuzzy Sets and Systems. 302. 65–81. 38 indexed citations
7.
Sakthivel, R., et al.. (2015). Robust Reliable H∞ Control for Discrete‐Time Systems with Actuator Delays. Asian Journal of Control. 17(6). 2133–2142. 11 indexed citations
8.
Arunkumar, A., R. Sakthivel, K. Mathiyalagan, & Ju H. Park. (2014). Robust stochastic stability of discrete-time fuzzy Markovian jump neural networks. ISA Transactions. 53(4). 1006–1014. 59 indexed citations
9.
Sakthivel, R., et al.. (2014). Robust reliable sampled‐data H∞ control for uncertain stochastic systems with random delay. Complexity. 21(1). 42–58. 30 indexed citations
10.
Sakthivel, R., Srimanta Santra, K. Mathiyalagan, & A. Arunkumar. (2014). Reliable Robust Control Design for Uncertain Mechanical Systems. Journal of Dynamic Systems Measurement and Control. 137(2). 13 indexed citations
11.
Sakthivel, R., et al.. (2014). Design of state estimator for bidirectional associative memory neural networks with leakage delays. Information Sciences. 296. 263–274. 119 indexed citations
12.
Sakthivel, R., A. Arunkumar, & K. Mathiyalagan. (2014). Robust sampled‐data H∞ control for mechanical systems. Complexity. 20(4). 19–29. 40 indexed citations
13.
Sakthivel, R., R. Anbuvithya, K. Mathiyalagan, A. Arunkumar, & P. Prakash. (2013). New LMI-Based Passivity Criteria for Neutral-Type BAM Neural Networks with Randomly Occurring Uncertainties. Reports on Mathematical Physics. 72(3). 263–286. 11 indexed citations
14.
Arunkumar, A., R. Sakthivel, K. Mathiyalagan, & S. Marshal Anthoni. (2013). State estimation for switched discrete-time stochastic BAM neural networks with time varying delay. Nonlinear Dynamics. 73(3). 1565–1585. 21 indexed citations
15.
Lalvani, J. Isaac JoshuaRamesh, M. Parthasarathy, A. Arunkumar, & K. Annamalai. (2013). Performance Improvement on a Single Cylinder Diesel Engine Powered with Pongamia Biodiesel by Incorporating Swirling Grooves. Advanced materials research. 768. 199–205. 20 indexed citations
16.
Arunkumar, A., et al.. (2013). Compact Maximum Power Point Tracking of Solar Photovoltaic Systems Using Analog ICs. 44. 135–140. 2 indexed citations
17.
Kavitha, M., et al.. (2013). SINGLE PHASE PV CELL FED H- BRIDGE MULTILEVEL INVERTER USING BOOST CONVERTER. 2 indexed citations
18.
Arunkumar, A., R. Sakthivel, K. Mathiyalagan, & S. Marshal Anthoni. (2013). Robust state estimation for discrete-time BAM neural networks with time-varying delay. Neurocomputing. 131. 171–178. 35 indexed citations
19.
Sakthivel, R., et al.. (2013). Robust state estimation for uncertain fuzzy bidirectional associative memory networks with time-varying delays. Physica Scripta. 88(3). 35008–35008. 11 indexed citations
20.
Arunkumar, A., R. Sakthivel, K. Mathiyalagan, & S. Marshal Anthoni. (2012). Robust stability criteria for discrete-time switched neural networks with various activation functions. Applied Mathematics and Computation. 218(22). 10803–10816. 31 indexed citations

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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