E. Kiran Kumar

785 total citations
30 papers, 511 citations indexed

About

E. Kiran Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, E. Kiran Kumar has authored 30 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Human-Computer Interaction and 14 papers in Biomedical Engineering. Recurrent topics in E. Kiran Kumar's work include Human Pose and Action Recognition (22 papers), Hand Gesture Recognition Systems (18 papers) and Gait Recognition and Analysis (13 papers). E. Kiran Kumar is often cited by papers focused on Human Pose and Action Recognition (22 papers), Hand Gesture Recognition Systems (18 papers) and Gait Recognition and Analysis (13 papers). E. Kiran Kumar collaborates with scholars based in India and United States. E. Kiran Kumar's co-authors include P. V. V. Kishore, D. Anil Kumar, M. Teja Kiran Kumar, Ananth Sastry, Suman Maloji, G. Anantha Rao, P. Venkatesan, Darshika G. Perera, Arun Solanki and D. Mohan Reddy and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Sensors Journal.

In The Last Decade

E. Kiran Kumar

26 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Kiran Kumar India	14	309	303	192	145	65	30	511
M. Teja Kiran Kumar India	10	212 0.7×	226 0.7×	137 0.7×	98 0.7×	50 0.8×	18	362
Lionel Pigou Belgium	3	226 0.7×	256 0.8×	133 0.7×	67 0.5×	73 1.1×	3	379
Zaid Omar Malaysia	10	395 1.3×	248 0.8×	207 1.1×	199 1.4×	60 0.9×	53	661
Nam Le Switzerland	4	182 0.6×	237 0.8×	110 0.6×	42 0.3×	91 1.4×	6	360
Chih-Ming Fu Taiwan	10	307 1.0×	727 2.4×	82 0.4×	68 0.5×	27 0.4×	21	903
Surendra Ranganath Singapore	13	251 0.8×	349 1.2×	87 0.5×	118 0.8×	77 1.2×	26	571
Congqi Cao China	11	294 1.0×	509 1.7×	260 1.4×	56 0.4×	274 4.2×	26	690
Rinki Gupta India	10	178 0.6×	74 0.2×	133 0.7×	89 0.6×	28 0.4×	47	306
Razieh Rastgoo Iran	10	683 2.2×	370 1.2×	306 1.6×	366 2.5×	66 1.0×	33	792
Rakesh Singh Jadon India	10	189 0.6×	218 0.7×	54 0.3×	42 0.3×	48 0.7×	40	416

Countries citing papers authored by E. Kiran Kumar

Since Specialization

Citations

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

Fields of papers citing papers by E. Kiran Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Kiran Kumar. 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 E. Kiran Kumar. The network helps show where E. Kiran Kumar may publish in the future.

Co-authorship network of co-authors of E. Kiran Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of E. Kiran Kumar. A scholar is included among the top collaborators of E. Kiran Kumar 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 E. Kiran Kumar. E. Kiran Kumar 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

Kumar, E. Kiran, et al.. (2024). A deep learning based approach to recognize the gestures used for controlling smart wheelchair. AIP conference proceedings. 2512. 20060–20060.

Kumar, D. Anil, et al.. (2024). Human action recognition from depth sensor via skeletal joint and shape trajectories with a time-series graph matching. AIP conference proceedings. 2512. 20029–20029.

Kumar, E. Kiran, et al.. (2024). Three stream human action recognition using Kinect. AIP conference proceedings. 2512. 20077–20077. 1 indexed citations

Kumar, E. Kiran, et al.. (2023). Retinal Vasculature Segmentation Based on Morphology and Pixel Level Classification. International journal of intelligent engineering and systems. 16(3). 641–653. 2 indexed citations

Kumar, E. Kiran, et al.. (2023). Residual Edge Attention in U-Net for Brain Tumour Segmentation. International Journal on Recent and Innovation Trends in Computing and Communication. 11(4). 324–340. 3 indexed citations

Kishore, P. V. V., et al.. (2020). A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data. Multimedia Tools and Applications. 79(17-18). 11723–11746. 19 indexed citations

Kishore, P. V. V., Darshika G. Perera, M. Teja Kiran Kumar, D. Anil Kumar, & E. Kiran Kumar. (2020). A Quad Joint Relational Feature for 3D Skeletal Action Recognition with Circular CNNs. 10. 1–5. 4 indexed citations

Kishore, P. V. V., et al.. (2019). Training Granular Convolution Neural Network with Depth Motion Maps along with Joint Angular Displacement Maps for Kinect based Human Action Recognition. Journal of Advanced Research in Dynamic and Control Systems. 11. 1210–1219. 1 indexed citations

Kumar, D. Anil, et al.. (2019). Investigation of 3-D Relational Geometric Features for Kernel-Based 3-D Sign Language Recognition. 3 indexed citations

10.

Kumar, M. Teja Kiran, P. V. V. Kishore, E. Kiran Kumar, & D. Anil Kumar. (2019). YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets. IEEE Transactions on Multimedia. 21(10). 2492–2503. 34 indexed citations

11.

Kishore, P. V. V., et al.. (2018). Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks. Advances in Multimedia. 2018. 1–10. 49 indexed citations

12.

Kishore, P. V. V., G. Anantha Rao, E. Kiran Kumar, M. Teja Kiran Kumar, & D. Anil Kumar. (2018). Selfie Sign Language Recognition with Convolutional Neural Networks. International Journal of Intelligent Systems and Applications. 10(10). 63–71. 17 indexed citations

13.

Kumar, E. Kiran, P. V. V. Kishore, M. Teja Kiran Kumar, D. Anil Kumar, & Ananth Sastry. (2018). Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet. IEEE Signal Processing Letters. 25(12). 1860–1864. 37 indexed citations

14.

Kumar, E. Kiran, P. V. V. Kishore, Ananth Sastry, M. Teja Kiran Kumar, & D. Anil Kumar. (2018). Training CNNs for 3-D Sign Language Recognition With Color Texture Coded Joint Angular Displacement Maps. IEEE Signal Processing Letters. 25(5). 645–649. 62 indexed citations

15.

Kishore, P. V. V., et al.. (2018). Indian classical dance action identification using adaboost multiclass classifier on multifeature fusion. 167–170. 10 indexed citations

16.

Maloji, Suman, et al.. (2018). Sign language recognition with multi feature fusion and ANN classifier. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 26(6). 2872–2886. 24 indexed citations

17.

Kishore, P. V. V., D. Anil Kumar, Ananth Sastry, & E. Kiran Kumar. (2018). Motionlets Matching With Adaptive Kernels for 3-D Indian Sign Language Recognition. IEEE Sensors Journal. 18(8). 3327–3337. 61 indexed citations

18.

Kumar, E. Kiran, P. V. V. Kishore, D. Anil Kumar, & M. Teja Kiran Kumar. (2018). Early estimation model for 3D-discrete indian sign language recognition using graph matching. Journal of King Saud University - Computer and Information Sciences. 33(7). 852–864. 15 indexed citations

19.

Kishore, P. V. V., et al.. (2017). Spatial Joint features for 3D human skeletal action recognition system using spatial graph kernels. International Journal of Engineering & Technology. 7(1.1). 489–489. 4 indexed citations

20.

Kumar, E. Kiran, et al.. (2014). TB Disease Diagnosis Using Fuzzy Max-Min Composition Technique. 6(1). 2 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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