Alar Kuusik
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Muhammad Mahtab AlamYannick Le MoullecHassan MalikMuhidul Islam KhanTamás PárdyHaris PervaizMuhammad Ali ImranRizwan Ahmad
- Topics
- Context-Aware Activity Recognition Systems (11 papers)IoT and Edge/Fog Computing (8 papers)IoT Networks and Protocols (6 papers)
- Cited by
- Computer Networks and CommunicationsPhysical Therapy, Sports Therapy and RehabilitationComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE AccessIEEE Internet of Things Journal
- Partner nations
- EstoniaUnited KingdomPakistan
In The Last Decade
Alar Kuusik
40 papers receiving 618 citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 318
- Electrical and Electronic Engineering 260
- Biomedical Engineering 198
- Computer Vision and Pattern Recognition 105
- Information Systems 99
Countries citing papers authored by Alar Kuusik
This map shows the geographic impact of Alar Kuusik'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 Alar Kuusik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alar Kuusik more than expected).
Fields of papers citing papers by Alar Kuusik
This network shows the impact of papers produced by Alar Kuusik. 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 Alar Kuusik. The network helps show where Alar Kuusik may publish in the future.
Co-authorship network of co-authors of Alar Kuusik
This figure shows the co-authorship network connecting the top 25 collaborators of Alar Kuusik. A scholar is included among the top collaborators of Alar Kuusik 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 Alar Kuusik. Alar Kuusik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 85 | |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | Distributed coordination of mobile robots using RFID technology | 1 |
About Alar Kuusik
Alar Kuusik is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 44 papers that have together received 646 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (8 papers) and IoT Networks and Protocols (6 papers). The work is most often cited by research in Computer Networks and Communications (318 citations), Physical Therapy, Sports Therapy and Rehabilitation (30 citations) and Computer Vision and Pattern Recognition (105 citations). Alar Kuusik has collaborated with scholars based in Estonia, United Kingdom and Pakistan. Frequent co-authors include Muhammad Mahtab Alam, Yannick Le Moullec, Hassan Malik, Muhidul Islam Khan, Tamás Párdy, Haris Pervaiz, Muhammad Ali Imran, Rizwan Ahmad, Abdul Saboor and Ahmed Zoha. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Internet of Things Journal.
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.