D. Anil Kumar

1.2k total citations
54 papers, 854 citations indexed

About

D. Anil Kumar is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, D. Anil Kumar has authored 54 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 30 papers in Human-Computer Interaction and 21 papers in Biomedical Engineering. Recurrent topics in D. Anil Kumar's work include Human Pose and Action Recognition (32 papers), Hand Gesture Recognition Systems (30 papers) and Gait Recognition and Analysis (21 papers). D. Anil Kumar is often cited by papers focused on Human Pose and Action Recognition (32 papers), Hand Gesture Recognition Systems (30 papers) and Gait Recognition and Analysis (21 papers). D. Anil Kumar collaborates with scholars based in India, Nepal and United States. D. Anil Kumar's co-authors include P. V. V. Kishore, E. Kiran Kumar, M. Teja Kiran Kumar, Ananth Sastry, C. Shobha Devi, S. Satyanarayana, Surya S. Singh, Yata Praveen Kumar, Laxma Reddy Kotha and G. Anantha Rao and has published in prestigious journals such as IEEE Access, European Journal of Medicinal Chemistry and Neurocomputing.

In The Last Decade

D. Anil Kumar

49 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Anil Kumar India	18	397	377	234	184	134	54	854
Sukhwinder Singh India	19	243 0.6×	366 1.0×	191 0.8×	137 0.7×	8 0.1×	63	959
Md Abdur Rahim Bangladesh	11	231 0.6×	129 0.3×	132 0.6×	107 0.6×	3 0.0×	48	497
Benoît Martin France	13	229 0.6×	84 0.2×	12 0.1×	11 0.1×	10 0.1×	44	593
Junrui Yang China	16	261 0.7×	112 0.3×	49 0.2×	3 0.0×	5 0.0×	49	827
Gaurav Trivedi India	14	22 0.1×	62 0.2×	116 0.5×	11 0.1×	4 0.0×	143	820
Jiangqin Wu China	12	146 0.4×	251 0.7×	57 0.2×	95 0.5×		46	513
Sachin Deshpande United States	12	35 0.1×	165 0.4×	10 0.0×	7 0.0×	3 0.0×	56	418
Saturnino Vicente-Díaz Spain	11	14 0.0×	118 0.3×	40 0.2×	9 0.0×	14 0.1×	20	429
Sudip Kumar Naskar India	18	14 0.0×	122 0.3×	50 0.2×	9 0.0×	4 0.0×	139	1.0k

Countries citing papers authored by D. Anil Kumar

Since Specialization

Citations

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

Fields of papers citing papers by D. Anil Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Anil Kumar

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

Kishore, P. V. V. & D. Anil Kumar. (2025). Est3D2Real-estimated 3D-to-real data embeddings for real time sign language recognizer. Pattern Recognition Letters. 196. 86–92.

Kumar, D. Anil, et al.. (2024). Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention. Pattern Analysis and Applications. 27(2). 3 indexed citations

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

Kishore, P. V. V., D. Anil Kumar, & K. Srinivasa Rao. (2024). Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications. SN Computer Science. 5(4).

Kumar, D. Anil, et al.. (2023). View Invariant Human Action Recognition using Surface Maps via convolutional networks. 25. 1–5. 1 indexed citations

Kumar, D. Anil, et al.. (2023). Hybrid CNN and LSTM Network For Heart Disease Prediction. SN Computer Science. 4(2). 31 indexed citations

Kumar, D. Anil, et al.. (2023). Meta Triplet Learning for Multiview Sign Language Recognition. International journal of intelligent engineering and systems. 16(2). 375–388. 2 indexed citations

10.

Kumar, D. Anil, et al.. (2023). Plasmodium falciparum FIKK 9.1 kinase modeling to screen and identify potent antimalarial agents from chemical library. 3 Biotech. 13(8). 277–277. 1 indexed citations

11.

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

12.

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

13.

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

14.

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

15.

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

16.

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

17.

Kumar, D. Anil, et al.. (2016). Selfie continuous sign language recognition using neural network. 1–6. 13 indexed citations

18.

Kishore, P. V. V., et al.. (2015). Twofold processing for denoising ultrasound medical images. SpringerPlus. 4(1). 775–775. 1 indexed citations

19.

Kumar, D. Anil, et al.. (2015). Role of cytoplasmic deadenylation and mRNA decay factors in yeast apoptosis. FEMS Yeast Research. 15(2). 8 indexed citations

20.

Kumar, Yata Praveen, Laxma Reddy Kotha, C. Shobha Devi, et al.. (2014). Synthesis, characterization; DNA binding and antitumor activity of ruthenium(II) polypyridyl complexes. Journal of Photochemistry and Photobiology B Biology. 141. 47–58. 46 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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