Shivsubramani Krishnamoorthy
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- K. P. SomanAshok K. AgrawalaAthanasios V. VasilakosRahul Krishnan PathinarupothiArnav BhavsarMatthew MahM. Kalaiselvi GeethaSethuraman N Rao
- Topics
- Context-Aware Activity Recognition Systems (9 papers)Indoor and Outdoor Localization Technologies (4 papers)Opportunistic and Delay-Tolerant Networks (4 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Shivsubramani Krishnamoorthy
16 papers receiving 218 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 115
- Computer Networks and Communications 69
- Media Technology 64
- Electrical and Electronic Engineering 34
- Artificial Intelligence 32
Countries citing papers authored by Shivsubramani Krishnamoorthy
This map shows the geographic impact of Shivsubramani Krishnamoorthy'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 Shivsubramani Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivsubramani Krishnamoorthy more than expected).
Fields of papers citing papers by Shivsubramani Krishnamoorthy
This network shows the impact of papers produced by Shivsubramani Krishnamoorthy. 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 Shivsubramani Krishnamoorthy. The network helps show where Shivsubramani Krishnamoorthy may publish in the future.
Co-authorship network of co-authors of Shivsubramani Krishnamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Shivsubramani Krishnamoorthy. A scholar is included among the top collaborators of Shivsubramani Krishnamoorthy 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 Shivsubramani Krishnamoorthy. Shivsubramani Krishnamoorthy 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 | 0 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 14 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 42 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 75 |
About Shivsubramani Krishnamoorthy
Shivsubramani Krishnamoorthy is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Computer Networks and Communications, having authored 18 papers that have together received 234 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Indoor and Outdoor Localization Technologies (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Media Technology (64 citations), Computer Vision and Pattern Recognition (115 citations) and Computer Networks and Communications (69 citations). Shivsubramani Krishnamoorthy has collaborated with scholars based in India, United States and Australia. Frequent co-authors include K. P. Soman, Ashok K. Agrawala, Athanasios V. Vasilakos, Rahul Krishnan Pathinarupothi, Arnav Bhavsar, Matthew Mah, M. Kalaiselvi Geetha, Sethuraman N Rao, Kamal Bijlani and T Anjali. Their work appears in journals such as IEEE Access, Computer Communications and Education and Information Technologies.
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.