P V V S Srinivas

495 total citations
45 papers, 310 citations indexed

About

P V V S Srinivas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, P V V S Srinivas has authored 45 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in P V V S Srinivas's work include Emotion and Mood Recognition (9 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (6 papers). P V V S Srinivas is often cited by papers focused on Emotion and Mood Recognition (9 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (6 papers). P V V S Srinivas collaborates with scholars based in India, United Arab Emirates and United States. P V V S Srinivas's co-authors include Pulipati King, Y. Prasanna Kumar, V.S.R. Krishna Prasad, Gaurav Kumar, Anil Kumar, M. Kavitha, Soumen Das, P. Sujatha, P. S. Ranjit and S. Muralikrishnan and has published in prestigious journals such as Journal of Hazardous Materials, Computers & Security and Transactions on Emerging Telecommunications Technologies.

In The Last Decade

P V V S Srinivas

38 papers receiving 289 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 S Srinivas India 10 103 53 42 36 33 45 310
Sangwon Kim South Korea 11 26 0.3× 111 2.1× 196 4.7× 20 0.6× 16 0.5× 26 398
Tuan Linh Dang Vietnam 9 71 0.7× 58 1.1× 37 0.9× 8 0.2× 82 2.5× 30 291
K. Kalaivani India 10 89 0.9× 57 1.1× 17 0.4× 3 0.1× 21 0.6× 69 335
Abbas H. Miry Iraq 10 34 0.3× 33 0.6× 17 0.4× 20 0.6× 17 0.5× 44 270
Yuanyuan Xu China 9 36 0.3× 38 0.7× 63 1.5× 4 0.1× 10 0.3× 27 294
Yuhang Cao China 7 32 0.3× 155 2.9× 240 5.7× 9 0.3× 11 0.3× 29 432
Ervin Gubin Moung Malaysia 10 18 0.2× 73 1.4× 69 1.6× 16 0.4× 8 0.2× 45 274
Chao Tang China 12 58 0.6× 122 2.3× 91 2.2× 6 0.2× 12 0.4× 52 411
Akshay Verma India 10 54 0.5× 62 1.2× 34 0.8× 3 0.1× 7 0.2× 43 442
Xuebin Xu China 11 27 0.3× 51 1.0× 101 2.4× 2 0.1× 22 0.7× 34 345

Countries citing papers authored by P V V S Srinivas

Since Specialization
Citations

This map shows the geographic impact of P V V S Srinivas'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 S Srinivas 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 S Srinivas more than expected).

Fields of papers citing papers by P V V S Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P V V S Srinivas

This figure shows the co-authorship network connecting the top 25 collaborators of P V V S Srinivas. A scholar is included among the top collaborators of P V V S Srinivas 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 S Srinivas. P V V S Srinivas 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.
Srinivas, P V V S, et al.. (2025). Enhanced biometric template protection schemes using distance based fuzzy extractor. Computers & Security. 157. 104573–104573. 1 indexed citations
2.
Srinivas, P V V S, et al.. (2024). Deep Learning based Automated Food Image Classification. 103–107. 1 indexed citations
4.
Srinivas, P V V S, et al.. (2023). BLIP-NLP Model for Sentiment Analysis. 468–475.
5.
Srinivas, P V V S, et al.. (2023). Identification of Deepfakes using Strategic Models and Architectures. 75–82. 2 indexed citations
6.
Srinivas, P V V S, et al.. (2023). Deep Learning Based Lumpy Skin Disease (LSD) Detection. 457–465. 8 indexed citations
7.
Srinivas, P V V S, et al.. (2023). Identification of Facial Emotions in Hitech Modern Era. 1202–1208. 4 indexed citations
8.
Srinivas, P V V S, et al.. (2023). Forecasting Congestive Heart Failure using Deep Learning. 3. 1128–1136.
9.
Srinivas, P V V S, et al.. (2023). Revolutionizing Military Surveillance: Advanced Deep Learning Techniques for Aircraft Detection. 12–19. 2 indexed citations
10.
Srinivas, P V V S, et al.. (2023). Performance Enhancement in Facial Emotion Classification Through Noise-Injected FERCNN Model: A Comparative Analysis. Ingénierie des systèmes d information. 28(5). 1161–1175. 1 indexed citations
11.
Srinivas, P V V S, et al.. (2023). Efficient Speech Emotion Recognition for Resource-Constrained Devices. 765–772.
12.
Srinivas, P V V S, et al.. (2022). Human Emotion Recognition by Integrating Facial and Speech Features: An Implementation of Multimodal Framework using CNN. International Journal of Advanced Computer Science and Applications. 13(1). 5 indexed citations
13.
Srinivas, P V V S. (2021). Prediction of Emotional Score of the multiple faces of a Photo Frame through Facial Emotion Recognition using the Deep Convolutional Neural Network. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(10). 1178–1186. 2 indexed citations
15.
Srinivas, P V V S, et al.. (2021). Facial expression recognition for low resolution images using convolutional neural networks and denoising techniques. Indian Journal of Science and Technology. 14(12). 971–983. 14 indexed citations
16.
Srinivas, P V V S, et al.. (2021). Optimized Conversion of Categorical and Numerical Features in Machine Learning Models. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 294–299. 4 indexed citations
17.
Srinivas, P V V S, et al.. (2021). An Improvised Facial Emotion Recognition System using the Optimized Convolutional Neural Network Model with Dropout. International Journal of Advanced Computer Science and Applications. 12(7). 6 indexed citations
18.
Kavitha, M., et al.. (2021). Machine Learning Techniques for Anomaly Detection in Smart Healthcare. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1350–1356. 18 indexed citations
20.
Srinivas, P V V S, et al.. (2012). Generation of Groundwater Quality Index Map: A Case Study. Civil and environmental research. 1(2). 9–20. 12 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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