Ardhendu Behera

2.0k total citations · 1 hit paper
36 papers, 1.1k citations indexed

About

Ardhendu Behera is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Ardhendu Behera has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Ardhendu Behera's work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (7 papers) and Context-Aware Activity Recognition Systems (5 papers). Ardhendu Behera is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (7 papers) and Context-Aware Activity Recognition Systems (5 papers). Ardhendu Behera collaborates with scholars based in United Kingdom, China and Switzerland. Ardhendu Behera's co-authors include Pradeep Hewage, Ella Pereira, Marcello Trovati, Yonghuai Liu, Morteza Ghahremani, Francesco Palmieri, Bappaditya Debnath, Mary O’Brien, Motonori Yamaguchi and Nik Bessis and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Experimental Brain Research.

In The Last Decade

Ardhendu Behera

36 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

2020 370 citations Pradeep Hewage, Ardhendu Behera et al. Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ardhendu Behera United Kingdom	17	338	229	181	137	105	36	1.1k
Yo‐Ping Huang Taiwan	21	258 0.8×	318 1.4×	147 0.8×	273 2.0×	80 0.8×	156	1.6k
Mohammad Hossein Rafiei United States	18	262 0.8×	305 1.3×	135 0.7×	110 0.8×	84 0.8×	30	2.6k
Shilpa Gite India	19	322 1.0×	319 1.4×	52 0.3×	59 0.4×	83 0.8×	92	1.2k
Frédéric Maire Australia	17	331 1.0×	349 1.5×	95 0.5×	59 0.4×	50 0.5×	83	1.2k
Greg Van Houdt Belgium	3	105 0.3×	289 1.3×	229 1.3×	128 0.9×	85 0.8×	4	1.2k
John E. Ball United States	23	469 1.4×	288 1.3×	134 0.7×	95 0.7×	48 0.5×	172	1.7k
Matthew N. Dailey Thailand	26	915 2.7×	337 1.5×	114 0.6×	195 1.4×	134 1.3×	110	2.5k
Bogusław Cyganek Poland	18	519 1.5×	337 1.5×	99 0.5×	46 0.3×	67 0.6×	75	1.3k
Fatma M. Talaat Egypt	23	433 1.3×	386 1.7×	150 0.8×	112 0.8×	70 0.7×	62	1.8k
Gabriel Villarrubia González Spain	22	294 0.9×	293 1.3×	336 1.9×	85 0.6×	88 0.8×	102	1.7k

Countries citing papers authored by Ardhendu Behera

Since Specialization

Citations

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

Fields of papers citing papers by Ardhendu Behera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ardhendu Behera

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

All Works

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20 of 20 papers shown

Liu, Yonghuai, et al.. (2024). Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition. International Journal of Computer Vision. 133(4). 1755–1779. 4 indexed citations

Lu, Bin, et al.. (2024). Exploiting Label Uncertainty for Enhanced 3D Object Detection From Point Clouds. IEEE Transactions on Intelligent Transportation Systems. 25(6). 6074–6089. 7 indexed citations

Xie, Jianyang, Quanyong Yi, Yufei Wu, et al.. (2023). Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer’s disease and mild cognitive impairment. British Journal of Ophthalmology. 108(3). 432–439. 24 indexed citations

Liu, Yonghuai, et al.. (2023). SLAV-Sim: A Framework for Self-Learning Autonomous Vehicle Simulation. Sensors. 23(20). 8649–8649. 1 indexed citations

Liu, Yonghuai, et al.. (2022). SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization. IEEE Transactions on Image Processing. 31. 6017–6031. 56 indexed citations

Shen, Ting, Yonghuai Liu, Ardhendu Behera, et al.. (2022). Retinal Structure Detection in OCTA Image via Voting-Based Multitask Learning. IEEE Transactions on Medical Imaging. 41(12). 3969–3980. 24 indexed citations

Debnath, Bappaditya, Mary O’Brien, Swagat Kumar, & Ardhendu Behera. (2021). Attentional Learn-able Pooling for Human Activity Recognition. Edge Hill University Research Information Repository (Edge Hill University). 4 indexed citations

Debnath, Bappaditya, Mary O’Brien, Motonori Yamaguchi, & Ardhendu Behera. (2021). A review of computer vision-based approaches for physical rehabilitation and assessment. Multimedia Systems. 28(1). 209–239. 76 indexed citations

Behera, Ardhendu, et al.. (2021). Coarse Temporal Attention Network (CTA-Net) for Driver’s Activity Recognition. Edge Hill University Research Information Repository (Edge Hill University). 1278–1288. 23 indexed citations

10.

Hewage, Pradeep, Ardhendu Behera, Marcello Trovati, et al.. (2020). Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft Computing. 24(21). 16453–16482. 370 indexed citations breakdown →

11.

Behera, Ardhendu, et al.. (2020). Associating Facial Expressions and Upper-Body Gestures with Learning Tasks for Enhancing Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education. 30(2). 236–270. 50 indexed citations

12.

Hewage, Pradeep, Marcello Trovati, Ella Pereira, & Ardhendu Behera. (2020). Deep learning-based effective fine-grained weather forecasting model. Pattern Analysis and Applications. 24(1). 343–366. 147 indexed citations

13.

Behera, Ardhendu, et al.. (2019). A CNN Model for Head Pose Recognition using Wholes and Regions. Edge Hill University Research Information Repository (Edge Hill University). 91. 1–2. 7 indexed citations

14.

Behera, Ardhendu, et al.. (2018). Latent Body-Pose guided DenseNet for Recognizing Driver’s Fine-grained Secondary Activities. 1–6. 21 indexed citations

15.

Debnath, Bappaditya, Mary O’Brien, Motonori Yamaguchi, & Ardhendu Behera. (2018). Adapting MobileNets for mobile based upper body pose estimation. Edge Hill University Research Information Repository (Edge Hill University). 1–6. 14 indexed citations

16.

Bleser, Gabriele, Dima Damen, Ardhendu Behera, et al.. (2015). Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks. PLoS ONE. 10(6). e0127769–e0127769. 33 indexed citations

17.

Howard, Christina J., Tom Trościanko, Iain D. Gilchrist, Ardhendu Behera, & David Hogg. (2013). Suspiciousness perception in dynamic scenes: a comparison of CCTV operators and novices. Frontiers in Human Neuroscience. 7. 441–441. 19 indexed citations

18.

Ferryman, James, David Hogg, J Šochman, et al.. (2013). Robust abandoned object detection integrating wide area visual surveillance and social context. Pattern Recognition Letters. 34(7). 789–798. 30 indexed citations

19.

Behera, Ardhendu, Denis Lalanne, & Rolf Ingold. (2005). Enhancement of layout-based identification of low-resolution documents using geometrical color distribution. Edge Hill University Research Information Repository (Edge Hill University). 468–472 Vol. 1. 1 indexed citations

20.

Lalanne, Denis, et al.. (2003). A research agenda for assessing the utility of document annotations in multimedia databases of meeting recordings.. Edge Hill University Research Information Repository (Edge Hill University). 47–55. 8 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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