Vishnu Chalavadi

623 total citations
16 papers, 310 citations indexed

About

Vishnu Chalavadi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Vishnu Chalavadi has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Vishnu Chalavadi's work include Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (5 papers) and Remote-Sensing Image Classification (4 papers). Vishnu Chalavadi is often cited by papers focused on Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (5 papers) and Remote-Sensing Image Classification (4 papers). Vishnu Chalavadi collaborates with scholars based in India, Japan and Norway. Vishnu Chalavadi's co-authors include C. Krishna Mohan, Rajeshreddy Datla, Jeripothula Prudviraj, Sobhan Babu, Nazil Perveen, Yen‐Wei Chen, Linga Reddy Cenkeramaddi and Vinay Kumar Singh and has published in prestigious journals such as Pattern Recognition, Neurocomputing and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Vishnu Chalavadi

16 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishnu Chalavadi India 9 126 81 52 41 30 16 310
Zakria Zakria China 10 133 1.1× 110 1.4× 61 1.2× 34 0.8× 27 0.9× 21 314
Rajeshreddy Datla India 8 164 1.3× 73 0.9× 69 1.3× 50 1.2× 22 0.7× 19 327
Kun-Yu Lin China 9 144 1.1× 125 1.5× 36 0.7× 24 0.6× 25 0.8× 24 330
Jeripothula Prudviraj India 5 97 0.8× 42 0.5× 23 0.4× 41 1.0× 22 0.7× 5 216
Ling Tan China 10 91 0.7× 51 0.6× 61 1.2× 54 1.3× 53 1.8× 28 291
Qing Song China 8 113 0.9× 172 2.1× 28 0.5× 20 0.5× 47 1.6× 37 316
Xian Wei China 7 176 1.4× 135 1.7× 51 1.0× 16 0.4× 30 1.0× 18 360
Syam Machinathu Parambil Gangadharan India 9 67 0.5× 76 0.9× 46 0.9× 12 0.3× 26 0.9× 16 371
Mortuza Ali Australia 10 233 1.8× 63 0.8× 75 1.4× 32 0.8× 38 1.3× 57 392
Damir Krstinić Croatia 11 172 1.4× 66 0.8× 15 0.3× 15 0.4× 46 1.5× 26 387

Countries citing papers authored by Vishnu Chalavadi

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Chalavadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishnu Chalavadi

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

All Works

16 of 16 papers shown
1.
Datla, Rajeshreddy, et al.. (2025). TransRefine: Transformer-augmented feature refinement for zero-shot scene classification in remote sensing images. Pattern Recognition. 162. 111406–111406. 3 indexed citations
2.
Chalavadi, Vishnu, et al.. (2024). Adaptive temporal aggregation for table tennis shot recognition. Neurocomputing. 584. 127567–127567. 11 indexed citations
3.
Cenkeramaddi, Linga Reddy, et al.. (2024). Multi-class object classification using deep learning models in automotive object detection scenarios. 38–38. 8 indexed citations
4.
Chalavadi, Vishnu, et al.. (2024). An Analysis on Conversational AI: The Multimodal Frontier in Chatbot System Advancements. 383–389. 1 indexed citations
5.
6.
Datla, Rajeshreddy, et al.. (2024). A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images. 1–7. 7 indexed citations
7.
Chalavadi, Vishnu, et al.. (2023). Adaptive spatial and temporal aggregation for table tennis shot recognition. 23–23. 1 indexed citations
8.
9.
Datla, Rajeshreddy, Vishnu Chalavadi, & C. Krishna Mohan. (2022). A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images. 21–21. 38 indexed citations
10.
Chalavadi, Vishnu, Jeripothula Prudviraj, Rajeshreddy Datla, Sobhan Babu, & C. Krishna Mohan. (2022). mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions. Pattern Recognition. 126. 108548–108548. 99 indexed citations
11.
Perveen, Nazil, et al.. (2022). Fine-grained Action Recognition using Attribute Vectors. 134–143. 1 indexed citations
12.
Datla, Rajeshreddy, et al.. (2022). Aircraft Type Recognition in Remote Sensing Images using Mean Interval Kernel. 166–173. 1 indexed citations
13.
Chalavadi, Vishnu, et al.. (2022). STIP-GCN: Space-time interest points graph convolutional network for action recognition. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 38 indexed citations
14.
Datla, Rajeshreddy, Vishnu Chalavadi, & C. Krishna Mohan. (2022). A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images. 20–20. 26 indexed citations
15.
Perveen, Nazil, et al.. (2021). Fine-grained action recognition using dynamic kernels. Pattern Recognition. 122. 108282–108282. 38 indexed citations
16.
Datla, Rajeshreddy, Vishnu Chalavadi, & C. Krishna Mohan. (2021). Scene Classification in Remote Sensing Images using Dynamic Kernels. 1–8. 17 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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