J. Arunnehru

516 total citations
18 papers, 183 citations indexed

About

J. Arunnehru is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, J. Arunnehru has authored 18 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in J. Arunnehru's work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (5 papers) and Gait Recognition and Analysis (4 papers). J. Arunnehru is often cited by papers focused on Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (5 papers) and Gait Recognition and Analysis (4 papers). J. Arunnehru collaborates with scholars based in India, Thailand and Saudi Arabia. J. Arunnehru's co-authors include Mohd Anul Haq, Raju Kannadasan, L. Vijayaraja, Arfat Ahmad Khan, M. Kalaiselvi Geetha, Zamil S. Alzamil, Chitapong Wechtaisong, Ahmed Alhussen, Mohammed Alshehri and Ismail Keshta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electronics and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

J. Arunnehru

16 papers receiving 171 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Arunnehru India 5 111 62 23 22 19 18 183
E. S. Gopi India 8 86 0.8× 61 1.0× 19 0.8× 10 0.5× 29 1.5× 35 228
Mustafa Sert Türkiye 12 131 1.2× 90 1.5× 39 1.7× 7 0.3× 19 1.0× 53 314
Hengduo Li United States 9 260 2.3× 107 1.7× 27 1.2× 27 1.2× 15 0.8× 12 315
M. M. El-Gayar Egypt 7 69 0.6× 63 1.0× 7 0.3× 21 1.0× 17 0.9× 18 198
Ce Gao China 9 189 1.7× 56 0.9× 23 1.0× 19 0.9× 14 0.7× 22 303
A. Vinay India 10 224 2.0× 43 0.7× 12 0.5× 17 0.8× 7 0.4× 42 302
Marwa Elpeltagy Egypt 8 149 1.3× 109 1.8× 34 1.5× 48 2.2× 48 2.5× 9 317
Chuanxin Tang China 6 100 0.9× 87 1.4× 8 0.3× 10 0.5× 13 0.7× 12 219
Elhocine Boutellaa Algeria 12 270 2.4× 29 0.5× 71 3.1× 13 0.6× 16 0.8× 34 336
Guangting Wang China 7 177 1.6× 63 1.0× 12 0.5× 40 1.8× 16 0.8× 9 241

Countries citing papers authored by J. Arunnehru

Since Specialization
Citations

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

Fields of papers citing papers by J. Arunnehru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Arunnehru

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

All Works

18 of 18 papers shown
1.
Arunnehru, J., et al.. (2025). Recognizing Human Emotions Through Body Posture Dynamics Using Deep Neural Networks. SHILAP Revista de lepidopterología. 49–49.
3.
Arunnehru, J., et al.. (2024). Deep neural network-based emotion recognition using facial landmark features and particle swarm optimization. Automatika. 65(3). 1088–1099. 3 indexed citations
4.
Arunnehru, J., et al.. (2023). Alzheimer’s Disease Stage Classification Using a Deep Transfer Learning and Sparse Auto Encoder Method. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 793–811. 3 indexed citations
5.
Arunnehru, J., L. Vijayaraja, Raju Kannadasan, et al.. (2022). Machine Vision-Based Human Action Recognition Using Spatio-Temporal Motion Features (STMF) with Difference Intensity Distance Group Pattern (DIDGP). Electronics. 11(15). 2363–2363. 20 indexed citations
6.
Arunnehru, J., et al.. (2022). Semantic-based visual emotion recognition in videos-a transfer learning approach. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(4). 3674–3674. 3 indexed citations
7.
Arunnehru, J., L. Vijayaraja, Raju Kannadasan, et al.. (2022). Target Object Detection from Unmanned Aerial Vehicle (UAV) Images Based on Improved YOLO Algorithm. Electronics. 11(15). 2343–2343. 61 indexed citations
8.
Arunnehru, J., et al.. (2022). A comprehensive study on early detection of Alzheimer disease using convolutional neural network. AIP conference proceedings. 2385. 50012–50012.
9.
Adarsh, S, et al.. (2020). Suspicious Activity Detection And Tracking In Surveillance Videos. Journal of Emerging Technologies and Innovative Research. 7(5). 75-79–75-79. 1 indexed citations
10.
Arunnehru, J., et al.. (2019). Novel approach for texture feature extraction and classification of satellite images using modified Hilbert matrix. AIP conference proceedings. 2112. 20154–20154. 4 indexed citations
11.
Arunnehru, J., et al.. (2019). A proficient remote information responsibility check protocol in multi-cloud environment. Evolutionary Intelligence. 14(2). 453–467. 2 indexed citations
12.
Arunnehru, J., et al.. (2018). Human Action Recognition using 3D Convolutional Neural Networks with 3D Motion Cuboids in Surveillance Videos. Procedia Computer Science. 133. 471–477. 68 indexed citations
13.
Arunnehru, J., et al.. (2018). Traffic Engineering: An Application of MPLS L3 VPN Technology. 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). 11 3. 1147–1151. 3 indexed citations
14.
Arunnehru, J. & M. Kalaiselvi Geetha. (2016). Automated Complex Activity Recognition in Multiple Person Interaction. 16(3). 71–85. 1 indexed citations
15.
Arunnehru, J. & M. Kalaiselvi Geetha. (2016). Difference intensity distance group pattern for recognizing actions in video using Support Vector Machines. Pattern Recognition and Image Analysis. 26(4). 688–696. 5 indexed citations
16.
Arunnehru, J. & M. Kalaiselvi Geetha. (2014). A Quantitative Real-Time Analysis Of Object Tracking Algorithm For Surveillance Applications. 1 indexed citations
17.
Arunnehru, J. & M. Kalaiselvi Geetha. (2013). Behavior recognition in surveillance video using temporal features. 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). 1. 1–5. 2 indexed citations
18.
Arunnehru, J. & M. Kalaiselvi Geetha. (2013). Automatic Activity Recognition for Video Surveillance. International Journal of Computer Applications. 75(9). 1–6. 4 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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