N. Arulkumar

553 total citations
13 papers, 320 citations indexed

About

N. Arulkumar is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, N. Arulkumar has authored 13 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in N. Arulkumar's work include Network Security and Intrusion Detection (3 papers), Blockchain Technology Applications and Security (3 papers) and Spam and Phishing Detection (2 papers). N. Arulkumar is often cited by papers focused on Network Security and Intrusion Detection (3 papers), Blockchain Technology Applications and Security (3 papers) and Spam and Phishing Detection (2 papers). N. Arulkumar collaborates with scholars based in India, United States and Philippines. N. Arulkumar's co-authors include S. Neelakandan, Nilesh Shelke, E. Fantin Irudaya Raj, J. Rene Beulah, M. Prakash, Saleem Raja Abdul Samad, Santosh Kumar Vishwakarma, Chandramohan Dhasarathan, Abbas Mardani and Sudhanshu Maurya and has published in prestigious journals such as Soft Computing, Optik and Enterprise Information Systems.

In The Last Decade

N. Arulkumar

13 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Arulkumar India 9 107 84 74 55 40 13 320
Pankaj Bhambri India 8 106 1.0× 94 1.1× 86 1.2× 85 1.5× 21 0.5× 34 418
Ahmed Lbath France 10 88 0.8× 61 0.7× 66 0.9× 60 1.1× 59 1.5× 38 334
Pethuru Raj Chelliah India 11 184 1.7× 85 1.0× 104 1.4× 71 1.3× 25 0.6× 28 422
Ayesha Atta Pakistan 8 54 0.5× 81 1.0× 50 0.7× 42 0.8× 62 1.6× 12 350
Sudhanshu Maurya India 10 111 1.0× 74 0.9× 107 1.4× 63 1.1× 12 0.3× 96 384
El Arbi Abdellaoui Alaoui Morocco 10 99 0.9× 92 1.1× 37 0.5× 47 0.9× 112 2.8× 44 407
Wonik Choi South Korea 10 68 0.6× 90 1.1× 40 0.5× 112 2.0× 23 0.6× 42 365
Rituparna Chaki India 13 291 2.7× 94 1.1× 92 1.2× 113 2.1× 24 0.6× 71 519
Larbi Hassouni Morocco 9 51 0.5× 120 1.4× 49 0.7× 43 0.8× 65 1.6× 33 311

Countries citing papers authored by N. Arulkumar

Since Specialization
Citations

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

Fields of papers citing papers by N. Arulkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Arulkumar

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

All Works

13 of 13 papers shown
1.
Jeyaraman, Madhan, Nicola Maffulli, Naveen Jeyaraman, et al.. (2023). Stem Cell Therapy in Critical Limb Ischemia. Cureus. 15(7). e41772–e41772. 8 indexed citations
2.
Prakash, M., et al.. (2023). Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation. Enterprise Information Systems. 17(10). 16 indexed citations
3.
Neelakandan, S., et al.. (2022). Modeling of Real Time Traffic Flow Monitoring System Using Deep Learning and Unmanned Aerial Vehicles. Journal of Mobile Multimedia. 7 indexed citations
4.
Dhasarathan, Chandramohan, et al.. (2022). A Comprehensive Review on Blockchain-Based Internet of Things (BIoT). 25–44. 1 indexed citations
5.
Samad, Saleem Raja Abdul, et al.. (2022). Mudhr: Malicious URL detection using heuristic rules based approach. AIP conference proceedings. 2393. 20176–20176. 9 indexed citations
6.
Neelakandan, S., et al.. (2022). Blockchain with deep learning-enabled secure healthcare data transmission and diagnostic model. Advances in Complex Systems. 13(4). 52 indexed citations
7.
Samad, Saleem Raja Abdul, et al.. (2022). Survey on Malicious URL Detection Techniques. 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). 778–781. 16 indexed citations
8.
Vishwakarma, Santosh Kumar, et al.. (2021). Blockchain for Securing Healthcare Data Using Squirrel Search Optimization Algorithm. Intelligent Automation & Soft Computing. 32(3). 1815–1829. 26 indexed citations
9.
Arulkumar, N., et al.. (2021). Machine Learning with Data Science-Enabled Lung Cancer Diagnosis and Classification Using Computed Tomography Images. International Journal of Image and Graphics. 23(3). 7 indexed citations
10.
Jothilakshmi, S., et al.. (2021). HHO-Based Vector Quantization Technique for Biomedical Image Compression in Cloud Computing. International Journal of Image and Graphics. 23(3). 5 indexed citations
11.
Neelakandan, S., et al.. (2021). An efficient low complexity compression based optimal homomorphic encryption for secure fiber optic communication. Optik. 252. 168545–168545. 51 indexed citations
12.
Neelakandan, S., et al.. (2021). IoT-based traffic prediction and traffic signal control system for smart city. Soft Computing. 25(18). 12241–12248. 107 indexed citations
13.
Dhasarathan, Chandramohan, et al.. (2020). A comprehensive novel model for network speech anomaly detection system using deep learning approach. International Journal of Speech Technology. 23(2). 305–313. 15 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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