Saguna Saguna
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Building and Construction top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Co-authors
- Christer ÅhlundOlov SchelénKaran MitraArkady ZaslavskyDipanjan ChakrabortyVicente A. de SousaRajiv RanjanPrem Prakash Jayaraman
- Topics
- Context-Aware Activity Recognition Systems (13 papers)IoT and Edge/Fog Computing (7 papers)Anomaly Detection Techniques and Applications (6 papers)
- Cited by
- Building and ConstructionComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- SwedenAustraliaUnited Kingdom
In The Last Decade
Saguna Saguna
32 papers receiving 725 citations
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 335
- Computer Networks and Communications 262
- Building and Construction 158
- Computer Vision and Pattern Recognition 133
- Information Systems 128
Countries citing papers authored by Saguna Saguna
This map shows the geographic impact of Saguna Saguna'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 Saguna Saguna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saguna Saguna more than expected).
Fields of papers citing papers by Saguna Saguna
This network shows the impact of papers produced by Saguna Saguna. 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 Saguna Saguna. The network helps show where Saguna Saguna may publish in the future.
Co-authorship network of co-authors of Saguna Saguna
This figure shows the co-authorship network connecting the top 25 collaborators of Saguna Saguna. A scholar is included among the top collaborators of Saguna Saguna 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 Saguna Saguna. Saguna Saguna 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 | 2 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 68 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 193 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 42 | |
| 20 | 56 |
About Saguna Saguna
Saguna Saguna is a scholar working on General Energy, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 35 papers that have together received 756 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), IoT and Edge/Fog Computing (7 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Building and Construction (158 citations), Computer Networks and Communications (262 citations) and Computer Vision and Pattern Recognition (133 citations). Saguna Saguna has collaborated with scholars based in Sweden, Australia and United Kingdom. Frequent co-authors include Christer Åhlund, Olov Schelén, Karan Mitra, Arkady Zaslavsky, Dipanjan Chakraborty, Vicente A. de Sousa, Rajiv Ranjan, Prem Prakash Jayaraman, Tejal Shah and Ali Yavari. Their work appears in journals such as IEEE Access, Sensors and Energy and Buildings.
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.