Philip Kuryloski
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Roozbeh JafariRaffaele GravinaRoberta GiannantonioGiancarlo FortinoAllen Y. YangStephen B. WickerRuzena BajcsyYuan Xue
- Topics
- Energy Efficient Wireless Sensor Networks (5 papers)Wireless Body Area Networks (4 papers)Context-Aware Activity Recognition Systems (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHuman-Computer Interaction
- Journals
- IEEE Transactions on Human-Machine SystemsISEE Conference Abstracts
- Partner nations
- United StatesItalyFinland
In The Last Decade
Philip Kuryloski
9 papers receiving 524 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 298
- Computer Networks and Communications 268
- Computer Vision and Pattern Recognition 252
- Electrical and Electronic Engineering 93
- Artificial Intelligence 48
Countries citing papers authored by Philip Kuryloski
This map shows the geographic impact of Philip Kuryloski'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 Philip Kuryloski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Kuryloski more than expected).
Fields of papers citing papers by Philip Kuryloski
This network shows the impact of papers produced by Philip Kuryloski. 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 Philip Kuryloski. The network helps show where Philip Kuryloski may publish in the future.
Co-authorship network of co-authors of Philip Kuryloski
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Kuryloski. A scholar is included among the top collaborators of Philip Kuryloski 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 Philip Kuryloski. Philip Kuryloski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applicationsbreakdown → | 311 |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 59 | |
| 7 | 88 | |
| 8 | 65 | |
| 9 | 7 | |
| 10 | 1 |
About Philip Kuryloski
Philip Kuryloski is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 10 papers that have together received 549 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Wireless Body Area Networks (4 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Computer Networks and Communications (268 citations) and Human-Computer Interaction (47 citations). Philip Kuryloski has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Roozbeh Jafari, Raffaele Gravina, Roberta Giannantonio, Giancarlo Fortino, Allen Y. Yang, Stephen B. Wicker, Ruzena Bajcsy, Yuan Xue, Shanshan Jiang and Posu Yan. Their work appears in journals such as IEEE Transactions on Human-Machine Systems and ISEE Conference Abstracts.
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.