Kaushik Sekaran

596 total citations
18 papers, 391 citations indexed

About

Kaushik Sekaran is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kaushik Sekaran has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Kaushik Sekaran's work include Cloud Computing and Resource Management (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and IoT and Edge/Fog Computing (3 papers). Kaushik Sekaran is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and IoT and Edge/Fog Computing (3 papers). Kaushik Sekaran collaborates with scholars based in India, Lebanon and Iran. Kaushik Sekaran's co-authors include Seifedine Kadry, Maytham N. Meqdad, P. Venkata Krishna, G S Pradeep Ghantasala, Tomas Blažauskas, Robertas Damaševičius, Suresh Kallam, T. P. Latchoumi, Sangsoon Lim and Amir H. Gandomi and has published in prestigious journals such as IEEE Access, Technological Forecasting and Social Change and Multimedia Tools and Applications.

In The Last Decade

Kaushik Sekaran

15 papers receiving 358 citations

Peers

Countries citing papers authored by Kaushik Sekaran

Since Specialization

Citations

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

Fields of papers citing papers by Kaushik Sekaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaushik Sekaran

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification 2024 ·IEEE Access ·Kaushik Sekaran, A. Harshavardhan, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
2	Quantum-Enhanced Elliptic Curve Cryptography Implementations for IoT: A Comparative Analysis 2024 ·(unknown), Kaushik Sekaran, M. Priyadharshini	0
3	Hybrid gated recurrent unit and convolutional neural network-based deep learning mechanism for efficient shilling attack detection in social networks 2023 ·Computers & Electrical Engineering ·(unknown), (unknown), Mamoon Rashid, Alaa Omran Almagrabi, Kaushik Sekaran, (unknown), Muhammad Usman	7
4	Accelerated grey wolf optimization for global optimization problems 2021 ·Technological Forecasting and Social Change ·(unknown), Kaushik Sekaran, Ching‐Hsien Hsu, Seifedine Kadry	15
5	An energy-efficient cluster head selection in wireless sensor network using grey wolf optimization algorithm 2020 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Kaushik Sekaran, (unknown), (unknown), (unknown), T. P. Latchoumi, Seifedine Kadry, Sangsoon Lim	35
6	Implementation of face and eye detection on DM6437 board using simulink model 2020 ·Bulletin of Electrical Engineering and Informatics ·(unknown), Kaushik Sekaran, (unknown), (unknown), Maytham N. Meqdad, Seifedine Kadry	3
7	Smart agriculture management system using internet of things 2020 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Kaushik Sekaran, Maytham N. Meqdad, (unknown), (unknown), Seifedine Kadry	58
8	Design of optimal search engine using text summarization through artificial intelligence techniques 2020 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Kaushik Sekaran, (unknown), (unknown), Maytham N. Meqdad, Seifedine Kadry	24
9	Image processing based eye detection methods a theoretical review 2020 ·Bulletin of Electrical Engineering and Informatics ·(unknown), (unknown), Kaushik Sekaran, Maytham N. Meqdad, Seifedine Kadry	12
10	An effective identification of crop diseases using faster region based convolutional neural network and expert systems 2020 ·International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering ·(unknown), G S Pradeep Ghantasala, (unknown), Kaushik Sekaran, (unknown), Yunyoung Nam, Seifedine Kadry	21
11	Design of Effective Security Architecture for Mobile Cloud Computing to Prevent DDoS Attacks 2019 ·International Journal of Wireless and Microwave Technologies ·Kaushik Sekaran, (unknown), (unknown)	6
12	Deep learning convolutional neural network (CNN) With Gaussian mixture model for predicting pancreatic cancer 2019 ·Multimedia Tools and Applications ·Kaushik Sekaran, (unknown), (unknown), Seifedine Kadry	97
13	An Efficient Mixture Model Approach in Brain-Machine Interface Systems for Extracting the Psychological Status of Mentally Impaired Persons Using EEG Signals 2019 ·IEEE Access ·(unknown), Kaushik Sekaran, (unknown), G S Pradeep Ghantasala, (unknown), Seifedine Kadry, Tomas Blažauskas, Robertas Damaševičius	60
14	Improving the Response Time of M-Learning and Cloud Computing Environments Using a Dominant Firefly Approach 2019 ·IEEE Access ·Kaushik Sekaran, Mohammad S. Khan, Rizwan Patan, Amir H. Gandomi, P. Venkata Krishna, Suresh Kallam	29
15	Combating Distributed Denial of Service Attacks Using Load Balanced Hadoop Clustering in Cloud Computing Environment 2018 ·Kaushik Sekaran, (unknown), (unknown), (unknown)	1
16	Cross region load balancing of tasks using region-based rerouting of loads in cloud computing environment 2017 ·International Journal of Advanced Intelligence Paradigms ·Kaushik Sekaran, P. Venkata Krishna	6
17	Cross region load balancing of tasks using region-based rerouting of loads in cloud computing environment 2017 ·International Journal of Advanced Intelligence Paradigms ·Kaushik Sekaran, P. Venkata Krishna	7
18	Big Cloud: a hybrid cloud model for secure data storage through cloud space 2016 ·International Journal of Advanced Intelligence Paradigms ·Kaushik Sekaran, P. Venkata Krishna	10

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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