P. V. V. Kishore

2.4k total citations
113 papers, 1.6k citations indexed

About

P. V. V. Kishore is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, P. V. V. Kishore has authored 113 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 48 papers in Human-Computer Interaction and 40 papers in Biomedical Engineering. Recurrent topics in P. V. V. Kishore's work include Hand Gesture Recognition Systems (48 papers), Human Pose and Action Recognition (43 papers) and Gait Recognition and Analysis (37 papers). P. V. V. Kishore is often cited by papers focused on Hand Gesture Recognition Systems (48 papers), Human Pose and Action Recognition (43 papers) and Gait Recognition and Analysis (37 papers). P. V. V. Kishore collaborates with scholars based in India, United States and Nepal. P. V. V. Kishore's co-authors include D. Anil Kumar, G. Anantha Rao, E. Kiran Kumar, Ananth Sastry, M. Teja Kiran Kumar, Apurba Sastry, P. Rajesh Kumar, B. T. P. Madhav, Syed Inthiyaz and Suman Maloji and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

In The Last Decade

P. V. V. Kishore

103 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. V. V. Kishore India 22 832 798 483 412 176 113 1.6k
Chung‐Lin Huang Taiwan 20 590 0.7× 1.1k 1.4× 240 0.5× 133 0.3× 165 0.9× 118 1.6k
Anupam Agrawal India 16 1.1k 1.3× 1.1k 1.3× 419 0.9× 160 0.4× 331 1.9× 92 2.1k
Jingjing Meng United States 17 674 0.8× 999 1.3× 176 0.4× 111 0.3× 156 0.9× 44 1.6k
Mohamed Hisham Jaward Malaysia 13 419 0.5× 289 0.4× 221 0.5× 202 0.5× 182 1.0× 33 953
Kosin Chamnongthai Thailand 19 237 0.3× 798 1.0× 198 0.4× 98 0.2× 245 1.4× 183 1.5k
Nicolas Pugeault United Kingdom 18 409 0.5× 591 0.7× 176 0.4× 226 0.5× 165 0.9× 56 1.1k
Mircea Nicolescu United States 12 546 0.7× 589 0.7× 104 0.2× 49 0.1× 157 0.9× 43 1.0k
Jaime Lien United States 9 658 0.8× 180 0.2× 547 1.1× 63 0.2× 144 0.8× 13 1.4k
Jun Wan China 29 344 0.4× 1.9k 2.4× 332 0.7× 63 0.2× 420 2.4× 90 2.5k
Nicholas Gillian United States 10 556 0.7× 217 0.3× 357 0.7× 44 0.1× 103 0.6× 19 1.1k

Countries citing papers authored by P. V. V. Kishore

Since Specialization
Citations

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

Fields of papers citing papers by P. V. V. Kishore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. V. V. Kishore. 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 P. V. V. Kishore. The network helps show where P. V. V. Kishore may publish in the future.

Co-authorship network of co-authors of P. V. V. Kishore

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

All Works

20 of 20 papers shown
1.
Kishore, P. V. V., et al.. (2025). Texture feature guided attention based fusion representations for crop leaf disease detection. Computers and Electronics in Agriculture. 239. 111144–111144.
2.
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
3.
Kishore, P. V. V., et al.. (2023). A Survey on DDoS Attack Detection by Using Machine Learning Approaches. NanoWorld Journal. 9.
4.
Kumar, D. Anil, et al.. (2023). View Invariant Human Action Recognition using Surface Maps via convolutional networks. 25. 1–5. 1 indexed citations
5.
Kishore, P. V. V., et al.. (2023). Multiview meta-metric learning for sign language recognition using triplet loss embeddings. Pattern Analysis and Applications. 26(3). 1125–1141. 2 indexed citations
6.
Madhav, B. T. P., et al.. (2020). A frequency and pattern reconfigurable asymmetric ground antenna on flexible polyimide material for LTE, Wi-Fi, WLAN and fixed satellite applications. Flexible and Printed Electronics. 5(2). 25007–25007. 16 indexed citations
7.
Nagalakshmi, T. J., et al.. (2019). Intrusion Detection System using One Class SVM with and without Feature Selection in Wormhole Attack Detection. International Journal of Innovative Technology and Exploring Engineering. 9(2S4). 629–638. 6 indexed citations
8.
Kishore, P. V. V., et al.. (2019). A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System. SHILAP Revista de lepidopterología. 29(1). 1558–1575. 13 indexed citations
9.
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
10.
Rao, G. Anantha & P. V. V. Kishore. (2018). SELFIE SIGN LANGUAGE RECOGNITION WITH MULTIPLE FEATURES ON ADABOOST MULTILABEL MULTICLASS CLASSIFIER. SHILAP Revista de lepidopterología. 12 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., et al.. (2018). Bandwidth Enhancement of CPW-Fed Elliptical Curved Antenna with Square SRR. International journal of intelligent engineering and systems. 11(2). 68–75. 14 indexed citations
13.
Kishore, P. V. V., et al.. (2017). Indian Classical Dance Mudra Classification Using HOG Features and SVM Classifier. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
14.
Kishore, P. V. V., et al.. (2017). An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm. Journal of Intelligent Systems. 27(1). 115–133. 22 indexed citations
15.
Kishore, P. V. V., et al.. (2015). Intelligent Vehicle Security and SOS Messaging System with Embedded GSM Module. 4(6). 1 indexed citations
16.
Kishore, P. V. V., et al.. (2015). Twofold processing for denoising ultrasound medical images. SpringerPlus. 4(1). 775–775. 1 indexed citations
17.
Kishore, P. V. V. & P. Rajesh Kumar. (2012). Tracking Complex Movements under Assorted Backgrounds in Sign Language using Active Contour Models. 4(10). 547–557.
18.
Kishore, P. V. V., et al.. (2011). Static Video Based Visual-Verbal Exemplar for Recognizing Gestures of Indian Sign Language. 3(9). 530–537. 3 indexed citations
19.
Kishore, P. V. V. & P. Rajesh Kumar. (2011). Video Audio Interface for Recognizing Gestures of Indian Sign Language. 13 indexed citations
20.
Kishore, P. V. V., et al.. (1972). New host record of Atherigona naqvii Steyskal (Anthomyiidae: Diptera) from India together with new record of its three Hymenopterous parasites.. Indian Journal of Entomology. 34(1). 80–81. 1 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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