Joyeeta Singha

964 total citations
29 papers, 676 citations indexed

About

Joyeeta Singha is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Developmental and Educational Psychology. According to data from OpenAlex, Joyeeta Singha has authored 29 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 18 papers in Human-Computer Interaction and 6 papers in Developmental and Educational Psychology. Recurrent topics in Joyeeta Singha's work include Hand Gesture Recognition Systems (18 papers), Human Pose and Action Recognition (17 papers) and Gait Recognition and Analysis (6 papers). Joyeeta Singha is often cited by papers focused on Hand Gesture Recognition Systems (18 papers), Human Pose and Action Recognition (17 papers) and Gait Recognition and Analysis (6 papers). Joyeeta Singha collaborates with scholars based in India. Joyeeta Singha's co-authors include Rabul Hussain Laskar, Amarjit Roy, Karen Das, Salam Shuleenda Devi, Vijay Bhaskar Semwal, Arun Chauhan, Basudeba Behera, Kuldeep Singh Yadav, M.K. Sain and Sandeep Saini and has published in prestigious journals such as Neurocomputing, Signal Processing and Neural Computing and Applications.

In The Last Decade

Joyeeta Singha

25 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joyeeta Singha India	15	456	319	136	98	90	29	676
Surendra Ranganath Singapore	13	349 0.8×	251 0.8×	87 0.6×	34 0.3×	118 1.3×	26	571
Georgios Th. Papadopoulos Greece	13	396 0.9×	127 0.4×	83 0.6×	59 0.6×	75 0.8×	57	625
Oyebade K. Oyedotun Luxembourg	12	285 0.6×	212 0.7×	111 0.8×	26 0.3×	74 0.8×	35	731
Ho‐Sub Yoon South Korea	9	279 0.6×	202 0.6×	65 0.5×	28 0.3×	29 0.3×	37	419
Chunli Wang China	12	196 0.4×	130 0.4×	66 0.5×	29 0.3×	78 0.9×	71	507
Jonathan Alon United States	11	557 1.2×	326 1.0×	86 0.6×	19 0.2×	81 0.9×	17	773
Yen-Lun Chen China	13	289 0.6×	177 0.6×	75 0.6×	15 0.2×	25 0.3×	37	478
Dushyant Kumar Singh India	14	325 0.7×	68 0.2×	64 0.5×	27 0.3×	38 0.4×	64	579
Olfa Jemai Tunisia	13	334 0.7×	103 0.3×	71 0.5×	66 0.7×	11 0.1×	42	530

Countries citing papers authored by Joyeeta Singha

Since Specialization

Citations

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

Fields of papers citing papers by Joyeeta Singha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joyeeta Singha

This figure shows the co-authorship network connecting the top 25 collaborators of Joyeeta Singha. A scholar is included among the top collaborators of Joyeeta Singha 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 Joyeeta Singha. Joyeeta Singha 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

Sain, M.K., Rabul Hussain Laskar, Joyeeta Singha, & Sandeep Saini. (2025). TriModNet: A Hybrid View-Invariant Three-Pronged Model for Patient Activity Monitoring in Indoor Environment. SN Computer Science. 6(2).

Singha, Joyeeta, et al.. (2023). Deep learning based spatio‐temporal hand gesture recognition system in complex environment. Expert Systems. 40(8).

Sain, M.K., Joyeeta Singha, Sandeep Saini, & Vijay Bhaskar Semwal. (2023). Human Action Recognition Using ConvBiLSTM-GRU In Indoor Environment. 179–186. 10 indexed citations

Sain, M.K., Rabul Hussain Laskar, Joyeeta Singha, & Sandeep Saini. (2023). Hybrid deep learning model-based human action recognition in indoor environment. Robotica. 41(12). 3788–3817. 5 indexed citations

Singha, Joyeeta, et al.. (2022). Speed Invariant Hand Gesture Recognition System using CNN. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). 1–8.

Singha, Joyeeta, et al.. (2022). Self co-articulation removal and hybrid classifier-feature combination for dynamic hand gesture recognition. Multimedia Tools and Applications. 82(4). 6033–6052.

Singha, Joyeeta, et al.. (2021). Dynamic hand gesture recognition using combination of two-level tracker and trajectory-guided features. Multimedia Systems. 28(1). 183–194. 19 indexed citations

Yadav, Kuldeep Singh & Joyeeta Singha. (2020). Facial expression recognition using modified Viola-John’s algorithm and KNN classifier. Multimedia Tools and Applications. 79(19-20). 13089–13107. 30 indexed citations

Yadav, Kuldeep Singh, Joyeeta Singha, & Rabul Hussain Laskar. (2019). Facial Expression Recognition using Facial Features Detection using the Fusion of Classifiers: In a real-time scenario. 5. 262–267. 1 indexed citations

10.

Devi, Salam Shuleenda, Joyeeta Singha, Manish Sharma, & Rabul Hussain Laskar. (2017). Erythrocyte segmentation for quantification in microscopic images of thin blood smears. Journal of Intelligent & Fuzzy Systems. 32(4). 2847–2856. 11 indexed citations

11.

Roy, Amarjit, Joyeeta Singha, & Rabul Hussain Laskar. (2017). Removal of Impulse Noise from Gray Images Using Fuzzy SVM Based Histogram Fuzzy Filter. Journal of Circuits Systems and Computers. 27(9). 1850139–1850139. 5 indexed citations

12.

Roy, Amarjit, Joyeeta Singha, & Rabul Hussain Laskar. (2017). Impulse noise removal from color images: An approach using SVM classification based fuzzy filter. 23. 929–934. 2 indexed citations

13.

Roy, Amarjit, et al.. (2017). Combination of adaptive vector median filter and weighted mean filter for removal of high‐density impulse noise from colour images. IET Image Processing. 11(6). 352–361. 56 indexed citations

14.

Singha, Joyeeta & Rabul Hussain Laskar. (2016). Recognition of global hand gestures using self co-articulation information and classifier fusion. Journal on Multimodal User Interfaces. 10(1). 77–93. 15 indexed citations

15.

Singha, Joyeeta & Rabul Hussain Laskar. (2016). Hand gesture recognition using two-level speed normalization, feature selection and classifier fusion. Multimedia Systems. 23(4). 499–514. 46 indexed citations

16.

Singha, Joyeeta, Vijay Bhaskar Semwal, & Rabul Hussain Laskar. (2016). An accurate hand tracking system for complex background based on modified KLT Tracker. 3644–3647. 4 indexed citations

17.

Semwal, Vijay Bhaskar, et al.. (2016). An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification. Multimedia Tools and Applications. 76(22). 24457–24475. 84 indexed citations

18.

Singha, Joyeeta & Karen Das. (2015). Automatic Indian Sign Language Recognition for Continuous Video Sequence. 2(1). 7 indexed citations

19.

Singha, Joyeeta & Rabul Hussain Laskar. (2015). Self co‐articulation detection and trajectory guided recognition for dynamic hand gestures. IET Computer Vision. 10(2). 143–152. 30 indexed citations

20.

Singha, Joyeeta & Rabul Hussain Laskar. (2015). ANN-Based Hand Gesture Recognition Using Self co-articulated Set of Features. IETE Journal of Research. 61(6). 597–608. 16 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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