Shail Kumar Dinkar

489 total citations
19 papers, 362 citations indexed

About

Shail Kumar Dinkar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Shail Kumar Dinkar has authored 19 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Biomedical Engineering. Recurrent topics in Shail Kumar Dinkar's work include Metaheuristic Optimization Algorithms Research (7 papers), ECG Monitoring and Analysis (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Shail Kumar Dinkar is often cited by papers focused on Metaheuristic Optimization Algorithms Research (7 papers), ECG Monitoring and Analysis (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Shail Kumar Dinkar collaborates with scholars based in India, Australia and South Korea. Shail Kumar Dinkar's co-authors include Kusum Deep, Pooja Sharma, Seyedali Mirjalili, Deep Gupta, Raees Ahmad Khan, Alka Agrawal, Kanika Sharma, Dhirendra Pandey, Akash Saxena and Gaurav Agarwal and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

Shail Kumar Dinkar

18 papers receiving 348 citations

Peers

Shail Kumar Dinkar

CTM

CVPR

CCM

Oğuz Fındık Türkiye

Teck Wee Chua Singapore

Kaushik Das Sharma India

Ziya Arnavut United States

Avadh Kishor India

Bhabani Shankar Prasad Mishra India

Anas Quteishat Jordan

Bhaskar Pant India

Hamouche Oulhadj France

P. T. Vanathi India

Oğuz Fındık Türkiye

Shail Kumar Dinkar

296 ×1.8

79 ×1.2

CTM

136 ×2.2

CVPR

104 ×1.7

CCM

41 ×0.8

Citations per year, relative to Shail Kumar Dinkar Shail Kumar Dinkar (= 1×) peers Oğuz Fındık

Countries citing papers authored by Shail Kumar Dinkar

Since Specialization

Citations

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

Fields of papers citing papers by Shail Kumar Dinkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shail Kumar Dinkar. 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 Shail Kumar Dinkar. The network helps show where Shail Kumar Dinkar may publish in the future.

Co-authorship network of co-authors of Shail Kumar Dinkar

This figure shows the co-authorship network connecting the top 25 collaborators of Shail Kumar Dinkar. A scholar is included among the top collaborators of Shail Kumar Dinkar 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 Shail Kumar Dinkar. Shail Kumar Dinkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Sharma, Pooja & Shail Kumar Dinkar. (2023). An intelligent deep neural network with Opposition based Laplacian Equilibrium Optimizer to improve feature extraction using ECG signals. Biomedical Signal Processing and Control. 87. 105415–105415. 7 indexed citations

Agarwal, Gaurav, Shail Kumar Dinkar, & Ajay Agarwal. (2023). Binarized spiking neural networks optimized with Nomadic People Optimization-based sentiment analysis for social product recommendation. Knowledge and Information Systems. 66(2). 933–958. 1 indexed citations

Dinkar, Shail Kumar, et al.. (2023). An Approach against Vampire Attack for Successful Transmission in Wireless Sensor Network. 1–7. 2 indexed citations

Dinkar, Shail Kumar, et al.. (2022). Selfish Node Detection by Modularized Deep NMF Autoencoder Based Incentivized Reputation Scheme. Cybernetics & Systems. 54(7). 1172–1198. 6 indexed citations

Dinkar, Shail Kumar, et al.. (2022). A novel social deep autoencoder NMF incentive scheme to detect a selfish node in delay tolerant network. The Journal of Supercomputing. 78(13). 15014–15041. 1 indexed citations

Saxena, Akash, et al.. (2022). Process Optimization of Biodiesel Production Using the Laplacian Harris Hawk Optimization (LHHO) Algorithm. Modelling and Simulation in Engineering. 2022. 1–13. 2 indexed citations

Dinkar, Shail Kumar, et al.. (2022). A predictive vampire attack detection by social spider optimized Gaussian mixture model clustering. Concurrency and Computation Practice and Experience. 35(2). 4 indexed citations

Sharma, Pooja & Shail Kumar Dinkar. (2022). A Linearly Adaptive Sine–Cosine Algorithm with Application in Deep Neural Network for Feature Optimization in Arrhythmia Classification using ECG Signals. Knowledge-Based Systems. 242. 108411–108411. 23 indexed citations

Dinkar, Shail Kumar, et al.. (2021). An anomalous co‐operative trust & PG‐DRL based vampire attack detection & routing. Concurrency and Computation Practice and Experience. 34(3). 6 indexed citations

10.

Dinkar, Shail Kumar & Kusum Deep. (2021). A Survey of Recent Variants and Applications of Antlion Optimizer. RePEc: Research Papers in Economics. 10(2). 48–73. 2 indexed citations

11.

Dinkar, Shail Kumar, et al.. (2021). Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding. Expert Systems with Applications. 174. 114766–114766. 67 indexed citations

12.

Sharma, Pooja, Shail Kumar Dinkar, & Deep Gupta. (2021). A novel hybrid deep learning method with cuckoo search algorithm for classification of arrhythmia disease using ECG signals. Neural Computing and Applications. 33(19). 13123–13143. 44 indexed citations

13.

Dinkar, Shail Kumar & Kusum Deep. (2021). Single and multi-objective optimization of nanofluid flow in flat tube to enhance heat transfer using antlion optimizer algorithms. International Journal of Systems Assurance Engineering and Management. 12(6). 1026–1035. 1 indexed citations

14.

Dinkar, Shail Kumar & Kusum Deep. (2019). Process optimization of biodiesel production using antlion optimizer. Journal of Information and Optimization Sciences. 40(6). 1281–1294. 8 indexed citations

15.

Dinkar, Shail Kumar & Kusum Deep. (2019). Opposition-based antlion optimizer using Cauchy distribution and its application to data clustering problem. Neural Computing and Applications. 32(11). 6967–6995. 18 indexed citations

16.

Sharma, Kanika, Alka Agrawal, Dhirendra Pandey, Raees Ahmad Khan, & Shail Kumar Dinkar. (2019). RSA based encryption approach for preserving confidentiality of big data. Journal of King Saud University - Computer and Information Sciences. 34(5). 2088–2097. 30 indexed citations

17.

Dinkar, Shail Kumar & Kusum Deep. (2018). Accelerated Opposition-Based Antlion Optimizer with Application to Order Reduction of Linear Time-Invariant Systems. Arabian Journal for Science and Engineering. 44(3). 2213–2241. 34 indexed citations

18.

Dinkar, Shail Kumar & Kusum Deep. (2018). An efficient opposition based Lévy Flight Antlion optimizer for optimization problems. Journal of Computational Science. 29. 119–141. 53 indexed citations

19.

Dinkar, Shail Kumar & Kusum Deep. (2017). Opposition based Laplacian Ant Lion Optimizer. Journal of Computational Science. 23. 71–90. 53 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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