Shishir Subramanyam
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Signal Processing
- Co-authors
- Pablo CésarIrene ViolaJack JansenAlan HanjalićEvangelos AlexiouFernando PérezNikolaos ZioulisDimitrios Zarpalas
- Topics
- Virtual Reality Applications and Impacts (10 papers)Advanced Vision and Imaging (8 papers)Image and Video Quality Assessment (8 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- IEEE AccessIEEE MultimediaACM Transactions on Multimedia Computing Communications and Applications
- Partner nations
- NetherlandsSpainGreece
In The Last Decade
Shishir Subramanyam
18 papers receiving 319 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 238
- Human-Computer Interaction 97
- Computational Mechanics 92
- Computer Graphics and Computer-Aided Design 89
- Signal Processing 39
Countries citing papers authored by Shishir Subramanyam
This map shows the geographic impact of Shishir Subramanyam'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 Shishir Subramanyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shishir Subramanyam more than expected).
Fields of papers citing papers by Shishir Subramanyam
This network shows the impact of papers produced by Shishir Subramanyam. 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 Shishir Subramanyam. The network helps show where Shishir Subramanyam may publish in the future.
Co-authorship network of co-authors of Shishir Subramanyam
This figure shows the co-authorship network connecting the top 25 collaborators of Shishir Subramanyam. A scholar is included among the top collaborators of Shishir Subramanyam 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 Shishir Subramanyam. Shishir Subramanyam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 17 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 18 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 35 | |
| 14 | 42 | |
| 15 | 31 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 66 | |
| 19 | 3 | |
| 20 | Inter frame compression of 3D dynamic point clouds | 0 |
About Shishir Subramanyam
Shishir Subramanyam is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (10 papers), Advanced Vision and Imaging (8 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Human-Computer Interaction (97 citations) and Computer Vision and Pattern Recognition (238 citations). Shishir Subramanyam has collaborated with scholars based in Netherlands, Spain and Greece. Frequent co-authors include Pablo César, Irene Viola, Jack Jansen, Alan Hanjalić, Evangelos Alexiou, Fernando Pérez, Nikolaos Zioulis, Dimitrios Zarpalas, Anargyros Chatzitofis and Caecilia Charbonnier. Their work appears in journals such as IEEE Access, IEEE Multimedia and ACM Transactions on Multimedia Computing Communications and Applications.
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.